50+ Natural Language Processing (NLP) Jobs in India

As an L1/L2 Data Scientist, you’ll work alongside experienced engineers and data scientists to solve real-world problems using machine learning (ML) and generative AI (GenAI). Beyond classical data science tasks, you’ll contribute to building and fine-tuning large language model (LLM)– based applications, such as chatbots, copilots, and automation workflows.

Key Responsibilities

• Collaborate with business stakeholders to translate problem statements into data science tasks.
• Perform data collection, cleaning, feature engineering, and exploratory data analysis (EDA).
• Build and evaluate ML models using Python and libraries such as scikit-learn and XGBoost.
• Support the development of LLM-powered workflows like RAG (Retrieval-Augmented Generation), prompt engineering, and fine-tuning for use cases including summarization, Q&A, and task automation.
• Contribute to GenAI application development using frameworks like LangChain, OpenAI APIs, or similar ecosystems.
• Work with engineers to integrate models into applications, build/test APIs, and monitor performance post-deployment.
• Maintain reproducible notebooks, pipelines, and documentation for ML and LLM experiments.
• Stay updated on advancements in ML, NLP, and GenAI, and share insights with the team.

Required Skills & Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.
• 2.5–5 years of experience in data science, ML, or AI (projects and internships included).
• Proficiency in Python with experience in libraries like pandas, NumPy, scikit-learn, and matplotlib.
• Basic exposure to LLMs (e.g., OpenAI, Cohere, Mistral, Hugging Face) or strong interest with the ability to learn quickly.
• Familiarity with SQL and structured data handling.
• Understanding of NLP fundamentals and vector-based retrieval techniques (a plus).
• Strong communication, problem-solving skills, and a proactive attitude.

Nice-to-Have (Not Mandatory)

• Experience with GenAI prototyping using LangChain, LlamaIndex, or similar frameworks.
• Knowledge of REST APIs and model integration into backend systems.
• Familiarity with cloud platforms (AWS/GCP/Azure), Docker, or Git.

Senior Software Developer – Java Full Stack | AI-Powered Innovation

Experience: 6–10 years

Department: Engineering & Innovation

🌟 About the Role

We’re searching for a Senior Software Developer who thrives on solving complex challenges and building world-class products that redefine technology boundaries. You’ll be part of a dynamic team that brings Java full-stack excellence together with Python and AI-driven innovations, crafting scalable, intelligent, and high-performance solutions.

If you love clean code, intelligent systems, and pushing the limits of what’s possible, this is your playground.

💡 What You’ll Do

• Design, develop, and deploy robust Java-based full-stack applications with a focus on performance, scalability, and reliability.
• Collaborate with cross-functional teams to integrate AI and Python-driven components into enterprise-grade systems.
• Architect and maintain microservices, RESTful APIs, and modular components for high-availability platforms.
• Engage in end-to-end product development — from ideation to deployment — using modern frameworks and tools.
• Champion best coding practices, conduct code reviews, and mentor junior engineers.
• Explore, experiment, and implement new technologies in AI, automation, and intelligent analytics.
• Troubleshoot complex issues, debug performance bottlenecks, and deliver elegant solutions.

🧠 What Makes You Stand Out

• Strong expertise in Java, Spring Boot, Hibernate, and modern JavaScript frameworks (React, Angular, or Vue).
• Hands-on exposure to Python programming — especially for automation or AI/ML integration.
• Solid understanding of AI/ML frameworks (TensorFlow, PyTorch, or OpenAI APIs) is a big plus.
• Experience with cloud technologies (AWS, Azure, or GCP) and containerization tools (Docker, Kubernetes).
• Proven record of building scalable microservices and RESTful APIs.
• Passion for problem-solving, algorithmic thinking, and clean architecture.
• Excellent communication and collaboration skills — you turn complex problems into creative solutions.

⚙️ Tech Stack Snapshot

Languages: Java, Python, JavaScript

Frameworks: Spring Boot, React/Angular/Vue, Flask (optional)

Tools: Git, Jenkins, Docker, Kubernetes

Databases: MongoDB, MySQL, PostgreSQL

Bonus: AI/ML frameworks, Generative AI, or NLP experience

🌈 Why You’ll Love Working Here

• Work on cutting-edge AI-integrated applications that make a real-world impact.
• Join a culture that values innovation, autonomy, and technical excellence.
• Collaborate with brilliant minds who inspire and challenge you daily.
• Enjoy flexibility, learning opportunities, and a growth-oriented environment.

💬 Ready to code the future?

Apply now and let’s build something extraordinary together!

Job Description: Machine Learning Engineer – LLM, Agentic AI, Computer Vision, and MLOps

Location: Ahmedabad

Experience: 4 to 6 years

Employment Type: Full-Time

About Us

Join a forward-thinking team at Tecblic, where innovation meets cutting-edge technology. We specialize in delivering AI-driven solutions that empower businesses to thrive in the digital age. If you're passionate about LLMs, Computer Vision, MLOps, and pushing the boundaries of Agentic AI, we’d love to have you on board.

Key Responsibilities

• Research and Development: Design, develop, and fine-tune machine learning models across LLM, computer vision, and Agentic AI use cases.
• Model Optimization: Fine-tune and optimize pre-trained models, ensuring performance, scalability, and minimal latency.
• Computer Vision: Build and deploy vision models for object detection, classification, OCR, and segmentation.
• Integration: Work closely with software and product teams to integrate models into production-ready applications.
• Data Engineering: Develop robust data pipelines for structured, unstructured (text/image/video), and streaming data.
• Production Deployment: Deploy, monitor, and manage ML models in production using DevOps and MLOps practices.
• Experimentation: Prototype and test new AI approaches such as reinforcement learning, few-shot learning, and generative AI.
• DevOps Collaboration: Collaborate with the DevOps team to ensure CI/CD pipelines, infrastructure-as-code, and scalable deployments are in place.
• Technical Mentorship: Support and mentor junior ML and data engineers.

Requirements

Core Technical Skills

• Strong Python skills for machine learning and computer vision.
• Hands-on experience with PyTorch, TensorFlow, Hugging Face, Scikit-learn, OpenCV.
• Deep understanding of LLMs (e.g., GPT, BERT, T5) and Computer Vision architectures (e.g., CNNs, Vision Transformers, YOLO, R-CNN).
• Strong knowledge of NLP tasks, image/video processing, and real-time inference.
• Experience in cloud platforms: AWS, GCP, or Azure.
• Familiarity with Docker, Kubernetes, and serverless deployments.
• Proficiency in SQL, Pandas, NumPy, and data wrangling techniques.

DevOps & MLOps Skills

• Experience with CI/CD tools such as GitHub Actions, GitLab CI, Jenkins, etc.
• Knowledge of Infrastructure as Code (IaC) tools like Terraform, CloudFormation, or Pulumi.
• Familiarity with container orchestration and Kubernetes-based ML model deployment.
• Hands-on experience with ML pipelines and monitoring tools: MLflow, Kubeflow, TFX, or Seldon.
• Understanding of model versioning, model registry, and automated testing/validation in ML workflows.
• Exposure to observability and logging frameworks (e.g., Prometheus, Grafana, ELK stack).

Additional Skills (Good to Have)

• Knowledge of Agentic AI systems and use cases.
• Experience with generative models (e.g., GANs, VAEs) and RL-based architectures.
• Prompt engineering and fine-tuning for LLMs in specialized domains.
• Working with vector databases (e.g., Pinecone, FAISS, Weaviate).
• Distributed data processing using Apache Spark, Dask.

General Skills

• Strong foundation in mathematics, including linear algebra, probability, and statistics.
• Deep understanding of data structures and algorithms.
• Comfortable handling large-scale datasets, including images, video, and multi-modal data.

Soft Skills

• Strong analytical and problem-solving mindset.
• Excellent communication skills for cross-functional collaboration.
• Self-motivated, adaptive, and committed to continuous learning.

Job Title: Senior AI/ML/DL Engineer

Location: Hyderabad

Department: Artificial Intelligence/Machine Learning

Job Summary:

We are seeking a highly skilled and motivated Senior AI/ML/DL Engineer to contribute to

the development and implementation of advanced artificial intelligence, machine learning,

and deep learning solutions. The ideal candidate will have a strong technical background in

AI/ML/DL, hands-on experience in building scalable models, and a passion for solving

complex problems using data-driven approaches. This role involves working closely with

cross-functional teams to deliver innovative AI/ML solutions aligned with business objectives.

Key Responsibilities:

Technical Execution:

● Design, develop, and deploy AI/ML/DL models and algorithms to solve business

challenges.

● Stay up-to-date with the latest advancements in AI/ML/DL technologies and integrate

them into solutions.

● Implement best practices for model development, validation, and deployment.

Project Development:

● Collaborate with stakeholders to identify business opportunities and translate them

into AI/ML projects.

● Work on the end-to-end lifecycle of AI/ML projects, including data collection,

preprocessing, model training, evaluation, and deployment.

● Ensure the scalability, reliability, and performance of AI/ML solutions in production

environments.

Cross-Functional Collaboration:

● Work closely with product managers, software engineers, and domain experts to

integrate AI/ML capabilities into products and services.

● Communicate complex technical concepts to non-technical stakeholders effectively.

Research and Innovation:●

Explore new AI/ML techniques and methodologies to enhance solution capabilities.

● Prototype and experiment with novel approaches to solve challenging problems.

●Contribute to internal knowledge-sharing initiatives and documentation.

Quality Assurance & MLOps:

● Ensure the accuracy, robustness, and ethical use of AI/ML models.

● Implement monitoring and maintenance processes for deployed models to ensure long-term performance.

● Follow MLOps practices for efficient deployment and monitoring of AI/ML solutions.

Qualifications:

Education:

● Bachelors/Master’s or Ph.D. in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field.

Experience:

● 5+ years of experience in AI/ML/DL, with a proven track record of delivering AI/ML solutions in production environments.

● Strong experience with programming languages such as Python, R, or Java.

● Proficiency in AI/ML frameworks and tools (e.g., TensorFlow, PyTorch, Scikit-learn,Keras).

● Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies

(e.g., Hadoop, Spark).

● Familiarity with MLOps practices and tools for model deployment and monitoring.

Skills:

● Strong understanding of machine learning algorithms, deep learning architectures,

and statistical modeling.

● Excellent problem-solving and analytical skills.

● Strong communication and interpersonal skills.

● Ability to manage multiple projects and prioritize effectively.

Preferred Qualifications:

● Experience in natural language processing (NLP), computer vision, or reinforcement

learning.

● Knowledge of ethical AI practices and regulatory compliance.

● Publications or contributions to the AI/ML community (e.g., research papers,open-source projects).

What We Offer:

● Competitive salary and benefits package.

● Opportunities for professional development and career growth.

● A collaborative and innovative work environment.

● The chance to work on impactful projects that leverage cutting-edge AI/ML technologies.

Role: Sr. Data Scientist

Exp: 4 -8 Years

CTC: up to 28 LPA

Technical Skills:

o Strong programming skills in Python, with hands-on experience in deep learning frameworks like TensorFlow, PyTorch, or Keras.

o Familiarity with Databricks notebooks, MLflow, and Delta Lake for scalable machine learning workflows.

o Experience with MLOps best practices, including model versioning, CI/CD pipelines, and automated deployment.

o Proficiency in data preprocessing, augmentation, and handling large-scale image/video datasets.

o Solid understanding of computer vision algorithms, including CNNs, transfer learning, and transformer-based vision models (e.g., ViT).

o Exposure to natural language processing (NLP) techniques is a plus.

Cloud & Infrastructure:

o Strong expertise in Azure cloud ecosystem,

o Experience working in UNIX/Linux environments and using command-line tools for automation and scripting.

If interested kindly share your updated resume at 82008 31681

Role: Sr. Data Scientist

Exp: 4-8 Years

CTC: up to 25 LPA

Technical Skills:

● Strong programming skills in Python, with hands-on experience in deep learning frameworks like TensorFlow, PyTorch, or Keras.

● Familiarity with Databricks notebooks, MLflow, and Delta Lake for scalable machine learning workflows.

● Experience with MLOps best practices, including model versioning, CI/CD pipelines, and automated deployment.

● Proficiency in data preprocessing, augmentation, and handling large-scale image/video datasets.

● Solid understanding of computer vision algorithms, including CNNs, transfer learning, and transformer-based vision models (e.g., ViT).

● Exposure to natural language processing (NLP) techniques is a plus.

• Educational Qualifications:

• B.E./B.Tech/M.Tech/MCA in Computer Science, Electronics & Communication, Electrical Engineering, or a related field.
• A master’s degree in computer science, Artificial Intelligence, or a specialization in Deep Learning or Computer Vision is highly preferred

About HealthAsyst

HealthAsyst is a leading technology company based out of Bangalore India focusing on the US healthcare market with a product and services portfolio. 

HealthAsyst IT services division offers a whole gamut of software services, helping clients effectively address their operational challenges. The services include product engineering, maintenance, quality assurance, custom-development, implementation & healthcare integration. The product division of HealthAsyst partners with leading EHR, PMS and RIS vendors to provide cutting-edge patient engagement solutions to small and large provider group in the US market.

Role and Responsibilities

• Ability to face customer as AI expert, assisting in client consultations.
• Own the solutioning process, Align AI projects with client requirements.
• Drive the development of AI and ML solutions that address business problems.
• Collaborate with development teams and solution architects to develop and integrate AI solutions.
• Monitor and evaluate the performance and impact of AI and ML solutions and ensure continuous improvement and optimization.
• Design and develop AI/ML models to solve complex business problems using supervised, unsupervised, and reinforcement learning techniques..
• Build, train, and evaluate machine learning pipelines, including data preprocessing, feature engineering, and model tuning.
• Establish and maintain best practices and standards for architecture, AI and ML models, innovation, and new technology evaluation.
• Collaborate with software developers to integrate AI capabilities into applications and workflows
• Develop APIs and microservices to serve AI models for real-time or batch inference.
• Foster a culture of innovation and collaboration within the COE, across teams and provide mentorship/guidance to the team members.
• Implement responsible AI practices, including model explainability, fairness, bias detection, and compliance with ethical standards.
• Experience in deploying AI models into production environments using tools like TensorFlow Serving, TorchServe, or container-based deployment (Docker, Kubernetes)

Qualifications

• 3+ years of experience in AI and ML projects.
• Proven track record of delivering successful AI and ML solutions that address complex business problems.
• Expertise in design, development, deployment and monitoring of AI ML solutions in production.
• Proficiency in various AI and ML techniques and tools, such as deep learning, NLP, computer vision, ML frameworks, cloud platforms, etc.
• 1+ year experience in building Generative AI applications leveraging Prompt Engineering and RAG
• Preference to candidates with experience in Agentic AI, MCP and A2A (Agent2Agent) protocol.
• Strong leadership, communication, presentation and stakeholder management skills.
• Ability to think strategically, creatively and analytically, and to translate business requirements into AI and ML solutions.
• Passion for learning and staying updated with the latest developments and trends in the field of AI and ML.
• Demonstrated commitment to ethical and socially responsible AI practices

Employee Benefits: 

HealthAsyst provides the following health, and wellness benefits to cover a range of physical and mental well-being for its employees.

• Bi-Annual Salary Reviews 
• Flexible working hours
• 3 days Hybrid model
• GMC (Group Mediclaim): Provides Insurance coverage of Rs. 3 lakhs + a corporate buffer of 2 Lakhs per family. This is a family floater policy, and the company covers all the employees, spouse, and up to two children 
• Employee Wellness Program- HealthAsyst offers unlimited online doctor consultations for self and family from a range of 31 specialties for no cost to employees. And OPD consultations with GP Doctors are available in person for No Cost to employees 
• GPA (Group Personal Accident): Provides insurance coverage of Rs. 20 lakhs to the employee against the risk of death/injury during the policy period sustained due to an accident 
• GTL (Group Term Life): Provides life term insurance protection to employees in case of death. The coverage is one time of the employee’s CTC 
• Employee Assistance Program: HealthAsyst offers complete confidential counselling services to employees & family members for mental wellbeing 
• Sponsored upskills program: The company will sponsor up to 1 Lakh for certifications/higher education/skill upskilling.
• Flexible Benefits Plan – covering a range of components like 

a.     National Pension System. 

b.    Internet/Mobile Reimbursements. 

c.     Fuel Reimbursements. 

d.    Professional Education Reimbursements. 

What We’re Looking For

As a Senior AI/ML Engineer at Meltwater, you’ll play a vital role in building cutting-edge social solutions for our global client base within the Explore mission. We’re seeking a proactive, quick-learning engineer who thrives in a collaborative environment.

Our culture values continuous learning, team autonomy, and a DevOps mindset. Meltwater development teams take full ownership of their subsystems and infrastructure, including running on-call rotations.

With a heavy reliance on Software Engineering in AI/ML and Data Science, we seek individuals with experience in:

• Cloud infrastructure and containerisation (Docker, Azure or AWS – Azure preferred)
• Data preparation
• Model lifecycle (training, serving, registries)
• Natural Language Processing (NLP) and Large Language Models (LLMs)

In this role, you’ll have the opportunity to:

• Push the boundaries of our technology stack
• Modify open-source libraries
• Innovate with existing technologies
• Work on distributed systems at scale
• Extract insights from vast amounts of data

What You’ll Do

• Lead and mentor a small team while doing hands-on coding.
• Demonstrate excellent communication and collaboration skills.

What You’ll Bring

• Bachelor’s or Master’s degree in Computer Science (or equivalent) OR demonstrable experience.
• Proven experience as a Lead Software Engineer in AI/ML and Data Science.
• 8+ years of working experience.
• 2+ years of leadership experience as Tech Lead or Team Lead.
• 5+ years strong knowledge of Python and software engineering principles.
• 5+ years strong knowledge of cloud infrastructure and containerization.
• Docker (required).
• Azure or AWS (required, Azure preferred).
• 5+ years strong working knowledge of TensorFlow / PyTorch.
• 3+ years good working knowledge of ML-Ops principles.
• Data preparation.
• Model lifecycle (training, serving, registries).
• Theoretical knowledge of AI / Data Science in one or more of:
• Natural Language Processing (NLP) and LLMs
• Neural Networks
• Topic modelling and clustering
• Time Series Analysis (TSA): anomaly detection, trend analysis, forecasting
• Retrieval Augmented Generation
• Speech to Text
• Excellent communication and collaboration skills.

What We Offer

• Flexible paid time off options for enhanced work-life balance.
• Comprehensive health insurance tailored for you.
• Employee assistance programs covering mental health, legal, financial, wellness, and behavioural support.
• Complimentary Calm App subscription for you and your loved ones.
• Energetic work environment with a hybrid work style.
• Family leave program that grows with your tenure.
• Inclusive community with professional development opportunities.

Our Story

At Meltwater, we believe that when you have the right people in the right environment, great things happen.

Our best-in-class technology empowers 27,000 customers worldwide to make better business decisions through data. But we can’t do that without our global team of developers, innovators, problem-solvers, and high-performers who embrace challenges and find new solutions.

Our award-winning global culture drives everything we do. Employees can make an impact, learn every day, feel a sense of belonging, and celebrate successes together.

We are innovators at the core who see potential in people, ideas, and technologies. Together, we challenge ourselves to go big, be bold, and build best-in-class solutions.

• 2,200+ employees
• 50 locations across 25 countries

We are Meltwater. We love working here, and we think you will too.

"Inspired by innovation, powered by people."

What You’ll Do:

As an AI/ML Engineer at Meltwater, you’ll play a vital role in building cutting-edge social solutions for our global client base within the Explore mission. We’re seeking a proactive, quick-learning engineer who thrives in a collaborative environment. Our culture values continuous learning, team autonomy, and a DevOps mindset.

Meltwater development teams take full ownership of their subsystems and infrastructure, including running on-call rotations. With a heavy reliance on Software Engineer in AI/ML and Data Science, we seek individuals with experience in:

• Cloud infrastructure and containerization (Docker, Azure or AWS is required; Azure is preferred)
• Data Preparation
• Model Lifecycle (training, serving, and registries)
• Natural Language Processing (NLP) and LLMs

In this role, you’ll have the opportunity to push the boundaries of our technology stack, from modifying open-source libraries to innovating with existing technologies. If you’re passionate about distributed systems at scale and finding new ways to extract insights from vast amounts of data, we invite you to join us in this exciting journey.

What You’ll Bring:

• Bachelor’s or master’s degree in computer science or equivalent degree or demonstrable experience.
• Proven experience as a Software Engineer in AI/ML and Data Science.
• Minimum of 2-4 years of working experience.
• Strong working experience in Python and software engineering principles (2+ Years).
• Experience with cloud infrastructure and containerization (1+ Years).
• Docker is required.
• Experience with TensorFlow / PyTorch (2+ Years).
• Experience with ML-Ops Principles (1+ Years).
• Data Preparation
• Model Lifecycle (training, serving, and registries)
• Sound knowledge on any cloud (AWS/Azure).
• Good theoretical knowledge of AI / Data Science in one or more of the following areas:
• Natural Language Processing (NLP) and LLMs
• Neural Networks
• Topic Modelling and Clustering
• Time Series Analysis (TSA), including anomaly detection, trend analysis, and forecasting
• Retrieval Augmented Generation
• Speech to Text
• Excellent communication and collaboration skills

What We Offer:

• Enjoy comprehensive paid time off options for enhanced work-life balance.
• Comprehensive health insurance tailored for you.
• Employee assistance programs covering mental health, legal, financial, wellness, and behaviour areas to ensure your overall well-being.
• Energetic work environment with a hybrid work style, providing the balance you need.
• Benefit from our family leave program, which grows with your tenure at Meltwater.
• Thrive within our inclusive community and seize ongoing professional development opportunities to elevate your career.

Where You’ll Work:

HITEC City, Hyderabad.

Our Story:

The sky is the limit at Meltwater.

At Meltwater, we believe that when you have the right people in the right working environment, great things happen. Our best-in-class technology empowers our 27,000 customers around the world to analyse over a billion pieces of data each day and make better business decisions.

Our award-winning culture is our north star and drives everything we do – from striving to create an environment where all employees do their best work, to delivering customer value by continuously innovating our products — and making sure to celebrate our successes and have fun along the way.

We’re proud of our diverse team of 2,300+ employees in 50 locations across 25 countries around the world. No matter where you are, you’ll work with people who care about your success and get the support you need to reach your goals.

So, in a nutshell, that’s Meltwater. We love working here, and we think you will too.

Role Overview

We're looking for a highly motivated AI Intern to join our dynamic team. This isn't your average internship; you'll be diving headfirst into the exciting world of Natural Language Processing (NLP) and Large Language Models (LLMs). You will work on real-world projects, contributing directly to our core products by researching, developing, and fine-tuning state-of-the-art language models. If you're passionate about making machines understand and generate human language, this is the perfect role for you!

Skills Needed:

1. Python
2. ML
3. NLP
4. LLM Fine-Tuning
5. Fast API

What You'll Do (Key Responsibilities)

Develop & Implement LLM Models: Assist in building and deploying LLM solutions for tasks like sentiment analysis, text summarization, named entity recognition (NER), and question-answering.

Fine-Tune LLMs: Work hands-on with pre-trained Large Language Models (like Llama, GPT, BERT) and fine-tune them on our custom datasets to enhance performance for specific tasks.

Data Pipeline Management: Be responsible for data preprocessing, cleaning, and augmentation to create high-quality datasets for training and evaluation.

Experiment & Evaluate: Research and experiment with different model architectures and fine-tuning strategies (e.g., LoRA, QLoRA) to optimize for accuracy, speed, and cost.

Collaborate & Document: Work closely with our senior ML engineers and data scientists, actively participating in code reviews and clearly documenting your findings and methodologies.

Must-Have Skills (Qualifications)

Strong Python Proficiency: You live and breathe Python and are comfortable with its data science ecosystem (Pandas, NumPy, Scikit-learn).

Solid ML & NLP Fundamentals: A strong theoretical understanding of machine learning algorithms, deep learning concepts, and core NLP techniques (e.g., tokenization, embeddings, attention mechanisms).

Deep Learning Frameworks: Hands-on experience with either PyTorch or TensorFlow.

Familiarity with LLMs: You understand the basics of transformer architecture and have some exposure to working with or fine-tuning Large Language Models.

Problem-Solving Mindset: An analytical and curious approach to tackling complex challenges.

Educational Background: Currently pursuing or recently graduated with a degree in Computer Science, AI, Data Science, or a related technical field.

Brownie Points For (Preferred Skills)

Experience with the Hugging Face ecosystem (Transformers, Datasets, Tokenizers).

A portfolio of personal or academic projects on GitHub showcasing your AI/ML skills.

Familiarity with vector databases (e.g., Pinecone, ChromaDB).

We're Hiring: Senior Developer (AI & Machine Learning)** 🚀

🔧 **Tech Stack**: Python, Neo4j, FAISS, LangChain, React.js, AWS/GCP/Azure

🧠 **Role**: AI/ML development, backend architecture, cloud deployment

🌍 **Location**: Remote (India)

💼 **Experience**: 5-10 years

If you're passionate about making an impact in EdTech and want to help shape the future of learning with AI, we want to hear from you!

Company name: JPMorgan (JPMC)

Job Category:
 Predictive Science

Location: Parcel 9, Embassy Tech Village, Outer Ring Road, Deverabeesanhalli Village, Varthur Hobli, Bengaluru

Job Schedule: 
Full time

JOB DESCRIPTION

JPMC is hiring the best talents to join the growing Asset and Wealth Management AI team. We are executing like a startup and building next-generation technology that combines JPMC unique data and full-service advantage to develop high impact AI applications and platforms in the financial services industry. We are looking for hands-on ML Engineering leader and expert who is excited about the opportunity. 

As a senior ML and GenAI engineer, you will play a lead role as a senior member of our global team. Your responsibilities will entail hands on development of high-impact business solutions through data analysis, developing cutting edge ML and LLM models, and deploying these models to production environments on AWS or Azure. 

You'll combine your years of proven development expertise with a never-ending quest to create innovative technology through solid engineering practices. Your passion and experience in one or more technology domains will help solve complex business problems to serve our Private Bank clients. As a constant learner and early adopter, you’re already embracing leading-edge technologies and methodologies; your example encourages others to follow suit. 

 Job responsibilities 

• Hands-on architecture and implementation of lighthouse ML and LLM-powered solutions 

• Close partnership with peers in a geographically dispersed team and colleagues across organizational lines 

• Collaborate across JPMorgan AWM’s lines of business and functions to accelerate adoption of common AI capabilities 

• Design and implement highly scalable and reliable data processing pipelines and deploy model inference services. 

• Deploy solutions into public cloud infrastructure 

• Experiment, develop and productionize high quality machine learning models, services, and platforms to make a huge technology and business impact 

 Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience

• MS in Computer Science, Statistics, Mathematics or Machine Learning. 

• Development experience, along with hands-on Machine Learning Engineering 

• Proven leadership capacity, including new AI/ML idea generation and GenAI-based solutions 

• Solid Python programming skills required; with other high-performance language such as Go a big plus 

• Expert knowledge of one of the cloud computing platforms preferred: Amazon Web Services (AWS), Azure, Kubernetes. 

• Experience in using LLMs (OpenAI, Claude or other models) to solve business problems, including full workflow toolset, such as tracing, evaluations and guardrails. Understanding of LLM fine-tuning and inference a plus 

• Knowledge of data pipelines, both batch and real-time data processing on both SQL (such as Postgres) and NoSQL stores (such as OpenSearch and Redis) 

• Expertise in application, data, and infrastructure architecture disciplines 

• Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics. 

• Excellent communication skills and ability to communicate with senior technical and business partners 

 Preferred qualifications, capabilities, and skills

• Expert in at least one of the following areas: Natural Language Processing, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis. 

• Knowledge of machine learning frameworks: Pytorch, Keras, MXNet, Scikit-Learn 

• Understanding of finance or wealth management businesses is an added advantage 

ABOUT US

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

ABOUT THE TEAM

J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.

About Moative

Moative, an Applied AI Services company, designs AI roadmaps, builds co-pilots, and develops agentic AI solutions for companies across industries including energy and utilities.

Through Moative Labs, we aspire to build AI-led products and launch AI startups in vertical markets.

Our Past: We have built and sold two companies, one of which was an AI company. Our founders and leaders are Math PhDs, Ivy League alumni, ex-Googlers, and successful entrepreneurs.

Business Context

Moative is looking for a Data Science Project Manager to lead a long-term engagement for a Houston-based utilities company. As part of this engagement, we will develop advanced AI/ML models for load forecasting, energy pricing, trading strategies, and related areas.

We have a high-performing team of data scientists and ML engineers based in Chennai, India, along with an on-site project manager in Houston, TX.

Work You’ll Do

As a Data Science Project Manager, you’ll wear two hats. On one hand, you’ll act as a project manager — engaging with clients, understanding business priorities, and discussing solution or algorithm approaches. You will coordinate with the on-site project manager to manage timelines and ensure quality delivery. You’ll also handle client communication, setting expectations, gathering feedback, and keeping the engagement in good health.

On the other hand, you’ll act as a senior data scientist — overseeing junior data scientists and analysts, guiding the offshore team on data science, engineering, and business challenges, and providing expertise in statistical and mathematical concepts, algorithms, and model development.

The ideal candidate has a strong background in statistics, machine learning, and programming, along with business acumen and project management skills.

Responsibilities

• Client Engagement: Act as the primary point of contact for clients on data science requirements. Support the on-site PM in managing client needs and build strong stakeholder relationships.
• Project Coordination: Lead the offshore team, ensure alignment on project goals, and work with clients to define scope and deliverables.
• Team Management: Supervise the offshore AI/ML team, ensure milestones are met, and provide domain/technical guidance.
• Data Science Leadership: Mentor teams, create frameworks for scalable solutions, and drive adoption of best practices in AI/ML lifecycle.
• Quality Assurance: Work with the offshore PM to implement QA processes that ensure accuracy and reliability.
• Risk Management: Identify risks and develop mitigation strategies.
• Stakeholder Communication: Provide regular updates on progress, challenges, and achievements.

Who You Are

You are a Project Manager passionate about delivering high-quality, data-driven solutions through robust project management practices. You have experience managing data-heavy projects in an onsite-offshore model with significant client engagement. You also bring some hands-on experience in data science and analytics, preferably in energy/utilities or financial risk/trading. You thrive in ambiguity, take initiative, and can confidently defend your decisions.

Requirements & Skills

• 8+ years of experience applying data science methods to real-world data, ideally in Energy & Utilities or financial risk/commodities trading.
• 3+ years of experience leading data science teams delivering AI/ML solutions.
• Deep familiarity with a range of methods and algorithms: time-series analysis, regression, experimental design, optimization, etc.
• Strong understanding of ML algorithms, including deep learning, neural networks, NLP, and more.
• Proficient in cloud platforms (AWS, Azure, GCP), ML frameworks (TensorFlow, PyTorch), and MLOps platforms (MLflow, etc.).
• Broad understanding of data structures, data engineering, and architectures.
• Strong interpersonal skills: result-oriented, proactive, and capable of handling multiple projects.
• Ability to collaborate effectively, take accountability, and stay composed under stress.
• Excellent verbal and written communication skills for both technical and non-technical stakeholders.
• Proven ability to identify and resolve issues quickly and efficiently.

Working at Moative

Moative is a young company, but we believe in thinking long-term while acting with urgency. Our ethos is rooted in innovation, efficiency, and high-quality outcomes. We believe the future of work is AI-augmented and boundaryless.

Guiding Principles

• Think in decades. Act in hours. Decisions for the long-term, execution in hours/days.
• Own the canvas. Fix or improve anything not done right, regardless of who did it.
• Use data or don’t. Avoid political “cover-my-back” use of data; balance intuition with data-driven approaches.
• Avoid work about work. Keep processes lean; meetings should be rare and purposeful.
• High revenue per person. Default to automation, multi-skilling, and high-quality output instead of unnecessary hiring.

Additional Details

The position is based out of Chennai and involves significant in-person collaboration. Applicants should demonstrate being in the 90th percentile or above, whether through top institutions, awards/accolades, or consistent outstanding performance.

If this role excites you, we encourage you to apply — even if you don’t check every box.

About Us

CLOUDSUFI, a Google Cloud Premier Partner, a Data Science and Product Engineering organization building Products and Solutions for Technology and Enterprise industries. We firmly believe in the power of data to transform businesses and make better decisions. We combine unmatched experience in business processes with cutting edge infrastructure and cloud services. We partner with our customers to monetize their data and make enterprise data dance.

Our Values

We are a passionate and empathetic team that prioritizes human values. Our purpose is to elevate the quality of lives for our family, customers, partners and the community.

Equal Opportunity Statement

CLOUDSUFI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified candidates receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, and national origin status. We provide equal opportunities in employment, advancement, and all other areas of our workplace. Please explore more at https://www.cloudsufi.com/.

Job Summary:

We are seeking a highly innovative and skilled AI Engineer to join our AI CoE  for the Data Integration Project. The ideal candidate will be responsible for designing, developing, and deploying intelligent assets and AI agents that automate and optimize various stages of the data ingestion and integration pipeline. This role requires expertise in machine learning, natural language processing (NLP), knowledge representation, and cloud platform services, with a strong focus on building scalable and accurate AI solutions.

Key Responsibilities:

• LLM-based Auto-schematization: Develop and refine LLM-based models and techniques for automatically inferring schemas from diverse unstructured and semi-structured public datasets and mapping them to a standardized vocabulary.
• Entity Resolution & ID Generation AI: Design and implement AI models for highly accurate entity resolution, matching new entities with existing IDs and generating unique, standardized IDs for newly identified entities.
• Automated Data Profiling & Schema Detection: Develop AI/ML accelerators for automated data profiling, pattern detection, and schema detection to understand data structure and quality at scale.
• Anomaly Detection & Smart Imputation: Create AI-powered solutions for identifying outliers, inconsistencies, and corrupt records, and for intelligently filling missing values using machine learning algorithms.
• Multilingual Data Integration AI: Develop AI assets for accurately interpreting, translating (leveraging automated tools with human-in-the-loop validation), and semantically mapping data from diverse linguistic sources, preserving meaning and context.
• Validation Automation & Error Pattern Recognition: Build AI agents to run comprehensive data validation tool checks, identify common error types, suggest fixes, and automate common error corrections.
• Knowledge Graph RAG/RIG Integration: Integrate Retrieval Augmented Generation (RAG) and Retrieval Augmented Indexing (RIG) techniques to enhance querying capabilities and facilitate consistency checks within the Knowledge Graph.
• MLOps Implementation: Implement and maintain MLOps practices for the lifecycle management of AI models, including versioning, deployment, monitoring, and retraining on a relevant AI platform.
• Code Generation & Documentation Automation: Develop AI tools for generating reusable scripts, templates, and comprehensive import documentation to streamline development.
• Continuous Improvement Systems: Design and build learning systems, feedback loops, and error analytics mechanisms to continuously improve the accuracy and efficiency of AI-powered automation over time.
• 
  

Required Skills and Qualifications:

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Proven experience (e.g., 3+ years) as an AI/ML Engineer, with a strong portfolio of deployed AI solutions.
• Strong expertise in Natural Language Processing (NLP), including experience with Large Language Models (LLMs) and their applications in data processing.
• Proficiency in Python and relevant AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Hands-on experience with cloud AI/ML services, 
• Understanding of knowledge representation, ontologies (e.g., Schema.org, RDF), and knowledge graphs.
• Experience with data quality, validation, and anomaly detection techniques.
• Familiarity with MLOps principles and practices for model deployment and lifecycle management.
• Strong problem-solving skills and an ability to translate complex data challenges into AI solutions.
• Excellent communication and collaboration skills.

Preferred Qualifications:

• Experience with data integration projects, particularly with large-scale public datasets.
• Familiarity with knowledge graph initiatives.
• Experience with multilingual data processing and AI.
• Contributions to open-source AI/ML projects.
• Experience in an Agile development environment.

Benefits:

• Opportunity to work on a high-impact project at the forefront of AI and data integration.
• Contribute to solidifying a leading data initiative's role as a foundational source for grounding Large Models.
• Access to cutting-edge cloud AI technologies.
• Collaborative, innovative, and fast-paced work environment.
• Significant impact on data quality and operational efficiency.

💯What will you do?

• Create and conduct engaging and informative Data Science classes that incorporate real-world examples and hands-on activities to ensure student engagement and retention.
• Evaluate student projects to ensure they meet industry standards and provide personalised, constructive feedback to students to help them improve their skills and understanding.
• Conduct viva sessions to assess student understanding and comprehension of the course materials. You will evaluate each student's ability to apply the concepts they have learned in real-world scenarios and provide feedback on their performance.
• Conduct regular assessments to evaluate student progress, provide feedback to students, and identify areas for improvement in the curriculum.
• Stay up-to-date with industry developments, best practices, and trends in Data Science, and incorporate this knowledge into course materials and instruction.
• Work with the placements team to provide guidance and support to students as they navigate their job search, including resume and cover letter reviews, mock interviews, and career coaching.
• Train the TAs to take the doubt sessions and for project evaluations

💯Who are we looking for?

We are looking for someone who has:

• A minimum of 1-2 years of industry work experience in data science or a related field. Teaching experience is a plus.
• In-depth knowledge of various aspects of data science like Python, MYSQL, Power BI, Excel, Machine Learning with statistics, NLP, DL.
• Knowledge of AI tools like ChatGPT (latest versions as well), debugcode.ai, etc.
• Passion for teaching and a desire to impart practical knowledge to students.
• Excellent communication and interpersonal skills, with the ability to engage and motivate students of all levels.
• Experience with curriculum development, lesson planning, and instructional design is a plus.
• Familiarity with learning management systems (LMS) and digital teaching tools will be an added advantage.
• Ability to work independently and as part of a team in a fast-paced, dynamic environment.

💯What do we offer in return?

• Awesome colleagues & a great work environment - Internshala is known for its culture (see for yourself) and has twice been recognized as a Great Place To Work in the last 3 years
• A massive learning opportunity to be an early member of a new initiative and experience building it from scratch
• Competitive remuneration

💰 Compensation - Competitive remuneration based on your experience and skills

📅 Start date - Immediately

Job Title: AI/ML Intern

Location: Hyderabad (On-site)

Internship Duration: 1 year

Experience Required: Basic knowledge with some hands-on project experience (0–1 year preferred)

Terms and Conditions:

• Stipend: ₹10,000 per month (subject to revision based on performance)
• Bond: 1 year of bond with SSC certificate submission

Role Overview:

We are looking for a passionate AI/ML Intern to join our growing team at WINIT. As an intern, you will work on real-world AI/ML projects that support the development of an intelligent Sales Supervisor Agent system. This is an exciting opportunity to apply your machine learning skills in sales performance analytics, pattern recognition, and recommendation systems.

Key Responsibilities:

1. AI/ML, Computer Vision & Gen AI Development Support:

• Assist in designing machine learning models for detecting sales trends and behavior patterns
• Support the development of recommendation engines for sales strategy optimization
• Work on computer vision tasks such as product identification, object detection, and image analysis using OpenCV or deep learning models
• Contribute to Generative AI use cases like content generation, sales pitch automation, data summarization, and LLM-based applications
• Help build and refine real-time dashboards for sales performance tracking
• Support integration of APIs for model deployment and system communication

2. Programming and Tools:

• Write clean Python code for ML model development
• Gain hands-on exposure to frameworks like PyTorch or TensorFlow
• Support backend development tasks using FastAPI or Flask
• Collaborate using Git for version control

3. Foundational AI/ML Understanding:

• Learn and explore concepts of LLMs, Transformers, and RAG
• Apply basic NLP techniques in project use cases
• Understand the ML workflow, from data preprocessing to deployment

4. Data Analysis & Handling:

• Work with SQL and Python libraries like Pandas/NumPy for data analysis
• Support data cleaning, transformation, and visualization

Preferred (Good to Have):

• Mini-projects or coursework in ML, computer vision, or AI
• Exposure to time series forecasting
• Awareness of vector databases (Faiss, Pinecone)
• Experience using RESTful APIs
• Familiarity with cloud platforms (AWS, Azure)
• Interest in developer tools like Cursor_AI, Codegiant, Vercel

Eligibility:

• Pursuing or recently completed B.Tech/B.E. in Computer Science, Data Science, or a related field
• Academic grounding in AI/ML fundamentals

What We’re Looking For:

• Curiosity and willingness to learn
• Problem-solving mindset
• Strong communication and collaboration skills

About WINIT:

WINIT is a pioneer in mobile Sales Force Automation (mSFA) with over 25 years of experience. We serve more than 600 global enterprises, helping them enhance efficiency, streamline logistics, and leverage AI/ML to optimize sales operations. With a commitment to innovation and global support, WINIT continues to lead digital transformation in sales.

Role Overview

As a Data Scientist, you will play a key role in improving and optimising the models that drive real-time speech AI. You’ll work on analysing, processing, and modelling data to make our systems smarter.

Specifically, you’ll:

• Develop and fine-tune Speech to Speech machine learning models
• Experiment with data-driven solutions to enhance AI performance.
• Work on feature engineering and dataset preparation to train robust models.
• Collaborate with the team to evaluate and deploy models into production.

What we’re looking for:

• Strong problem-solving skills, paired with a passion for learning.
• 1-3 years of experience in Data Science and related fields.
• Experience with speech processing or NLP.
• Proficiency in Python and familiarity with data science libraries.
• Understanding of machine learning frameworks (e.g., TensorFlow, PyTorch).
• Familiarity with working on datasets and data preprocessing techniques.

Job Title: AI Developer/Engineer

Location: Remote

Employment Type: Full-time

About the Organization 

We are a cutting-edge AI-powered startup that is revolutionizing data management and content generation. Our platform harnesses the power of generative AI and natural language processing to turn unstructured data into actionable insights, providing businesses with real-time, intelligent content and driving operational efficiency. As we scale, we are looking for an experienced lead architect to help design and build our next-generation AI-driven solutions.

About the Role

We are seeking an AI Developer to design, fine-tune, and deploy advanced Large Language Models (LLMs) and AI agents across healthcare and SMB workflows. You will work with cutting-edge technologies—OpenAI, Claude, LLaMA, Gemini, Grok—building robust pipelines and scalable solutions that directly impact real-world hospital use cases such as risk calculators, clinical protocol optimization, and intelligent decision support.

Key Responsibilities

• Build, fine-tune, and customize LLMs and AI agents for production-grade workflows
• Leverage Node.js for backend development and integration with various cloud services.
• Use AI tools and AI prompts to develop automated processes that enhance data management and client offerings
• Drive the evolution of deployment methodologies, ensuring that AI systems are continuously optimized, tested, and delivered in production-ready environments.
•  Stay up-to-date with emerging AI technologies, cloud platforms, and development methodologies to continually evolve the platform’s capabilities.
• Integrate and manage vector databases such as FAISS and Pinecone.
• Ensure scalability, performance, and compliance in all deployed AI systems.

Required Qualifications

• 2–3 years of hands-on experience in AI/ML development or full-stack AI integration.
• ​​Proven expertise in building Generative AI models and AI-powered applications, especially in a cloud environment.
• Strong experience with multi-cloud infrastructure and platforms,
• Proficiency with Node.js and modern backend frameworks for developing scalable solutions.
• In-depth understanding of AI prompts, natural language processing, and agent-based systems for enhancing decision-making processes.
• Familiarity with AI tools for model training, data processing, and real-time inference tasks.
• Experience working with hybrid cloud solutions, including private and public cloud integration for AI workloads.
• Strong problem-solving skills and a passion for innovation in AI and cloud technologies
• Agile delivery mythology knowledge.
• CI/CD pipeline deployment with JIRA and GitHub knowledge for code deployment
• Strong experience with LLMs, prompt engineering, and fine-tuning.
• Knowledge of vector databases (FAISS, Pinecone, Milvus, or similar).

Nice to Have

• Experience in healthcare AI, digital health, or clinical applications.
• Exposure to multi-agent AI frameworks.

What We Offer

• Flexible working hours. 
• Collaborative, innovation-driven work culture.
• Growth opportunities in a rapidly evolving AI-first environment.

We’re seeking a highly skilled, execution-focused Data Scientist with 4–10 years of experience to join our team. This role demands hands-on expertise in fine-tuning and deploying generative AI models across image, video, and audio domains — with a special focus on lip-sync, character consistency, and automated quality evaluation frameworks. You will be expected to run rapid experiments, test architectural variations, and deliver working model iterations quickly in a high-velocity R&D environment.

Responsibilities

• Run end-to-end fine-tuning experiments on state-of-the-art models (Flux family, LoRA, diffusion-based architectures, context-based composition).
• Develop and optimize generative AI models for audio generation and lip-sync, ensuring high fidelity and natural delivery.
• Extend current language models to support regional Indian languages beyond US/UK English for audio and content generation.
• Enable emotional delivery in generated audio (shouting, crying, whispering) to enhance realism.
• Integrate and synchronize background scores seamlessly with generated video content.
• Work towards achieving video quality standards comparable to Veo3/Sora.
• Ensure consistency in scenes and character generation across multiple outputs.
• Design and implement an automated objective evaluation frameworks to replace subjective human review — for cover images, video frames, and audio clips. Implement scoring systems that standardize quality checks before editorial approval.
• Run comparative tests across multiple model architectures to evaluate trade-offs in quality, speed, and efficiency.
• Drive initiatives independently, showcasing high agency and accountability. Utilize strong first-principle thinking to tackle complex challenges.
• Apply a research-first approach with rapid experimentation in the fast-evolving Generative AI space.

Requirements

• 4-10 years of experience in Data Science, with a strong focus on Generative AI.
• Familiarity with state-of-the-art models in generative AI (e.g., Flux, diffusion models, GANs).
• Proven expertise in developing and deploying models for audio and video generation.
• Demonstrated experience with natural language processing (NLP), especially for regional language adaptation.
• Experience with model fine-tuning and optimization techniques.
• Hands-on exposure to ML deployment pipelines (FastAPI or equivalent).
• Strong programming skills in Python and relevant deep learning frameworks (e.g., TensorFlow, PyTorch).
• Experience in designing and implementing automated evaluation metrics for generative content.
• A portfolio or demonstrable experience in projects related to content generation, lip-sync, or emotional AI is a plus.
• Exceptional problem-solving skills and a proactive approach to research and experimentation.

Benefits

• Best in class salary: We hire only the best, and we pay accordingly.
• Proximity Talks: Meet other designers, engineers, and product geeks — and learn from experts in the field.
• Keep on learning with a world-class team: Work with the best in the field, challenge yourself constantly, and learn something new every day.

About us

Proximity is the trusted technology, design, and consulting partner for some of the biggest Sports, Media, and Entertainment companies in the world! We’re headquartered in San Francisco and have offices in Palo Alto, Dubai, Mumbai, and Bangalore. Since 2019, Proximity has created and grown high-impact, scalable products used by 370 million daily users, with a total net worth of $45.7 billion among our client companies.

Today, we are a global team of coders, designers, product managers, geeks, and experts. We solve complex problems and build cutting-edge tech, at scale. Our team of Proxonauts is growing quickly, which means your impact on the company’s success will be huge. You’ll have the chance to work with experienced leaders who have built and led multiple tech, product, and design teams.

About Us:

MyOperator is India’s leading Cloud Telephony platform, empowering 40,000+ businesses to communicate smarter. We’re now expanding into Conversational AI and Chatbots, aiming to build intelligent customer engagement solutions from the ground up. We're seeking a Product Manager with hands-on experience in building AI-driven chatbot products who can lead this initiative from zero to launch.

Key Responsibilities:

• Chatbot Product Ownership: Lead the end-to-end development of our chatbot product, from ideation, architecture definition, and MVP launch to scale-up.
• Product Strategy & Roadmap: Define and own the chatbot product vision and roadmap aligned with business goals and customer needs.
• Requirement Documentation: Draft comprehensive Product Requirement Documents (PRDs) detailing user stories, workflows, and technical integrations (LLMs, APIs).
• Conversation Design & UX: Collaborate with UX teams to craft intuitive conversational flows and ensure a seamless user experience across WhatsApp, Web, and App.
• AI/ML Collaboration: Work closely with Data Science and Engineering teams to integrate LLMs (OpenAI, Vertex AI) for dynamic, context-aware interactions.
• Data-Driven Decisions: Utilize tools like Mixpanel, Google Analytics, and bot analytics platforms to monitor user behavior, define success metrics, and iterate features.
• Cross-functional Leadership: Partner with Tech, Sales, Marketing, and Customer Success teams to align product development with market demands and go-to-market strategy.
• Project Management: Drive agile processes using Jira, ensuring timely sprint deliveries, backlog grooming, and resolution of blockers.

Qualifications:

• Experience: 2+ years in Product Management, with direct experience in chatbot or conversational AI product development.
• AI & LLM Knowledge: Strong understanding of Large Language Models (LLMs), NLP technologies, and experience integrating AI-powered chatbots.
• Platform Ecosystem: Exposure to WhatsApp Business API ecosystem and conversational commerce tools.
• Mobile & Web Product Understanding: Ability to oversee chatbot deployment across mobile apps and web platforms.
• Analytical Skills: Proficient in product analytics using Mixpanel, Google Analytics, or Adobe Analytics.
• Project Management Tools: Experience with Jira or similar agile project management tools.
• Education: Bachelor’s degree in Computer Science, Engineering, or Business; MBA is a plus.
• Soft Skills: Strong problem-solving skills, data-driven mindset, excellent communication, and collaborative leadership.

Why Join Us?

• Lead the Chatbot Product from zero-to-one in a fast-growing SaaS environment.
• Work with a cross-functional, high-impact team on cutting-edge AI solutions.
• Career growth and leadership opportunities in Conversational AI domain.
• Competitive compensation, remote-first work culture, and collaborative environment.

We are looking for skilled AI Engineer for our organization. Please have a look to below details and revert accordingly if we can discuss further

Company Name: TechWize (A Business unit of Mangalam Information Technologies Pvt Ltd.)

Our Accreditations -

• 25 years of industry presence
• Salesforce Partner
• ISO 27001:2019 certified
• Great Place to Work certified
• HIPAA Compliant
• SOC2 Compliant
• NASSCOM Member

Our EVP (Employee Value proposition)

• We are a Great place to work certified company.
• 30 Earned Leaves during calendar Year
• Career progression and continuous Learning & Development (Technical, Soft skills, Communication, Leadership)
• Performance bonus & Loyalty Bonus Benefits
• 5 Days working
• Rewards and Recognition programs
• Standard Salary as per market norms
• Equal career opportunities, No discrimination
• Magnificent & Dynamic Culture
• Festival celebrations & fun events

Explore more : https://techwize.com/, https://mangalaminfotech.com/

Position: AI/Sr. AI Engineer

Job location: Ahmedabad

Experience: 4+ years

Job Overview:

We are seeking a highly experienced and innovative Senior AI Engineer with a strong background in Generative AI, including LLM fine-tuning and prompt engineering. This role requires hands-on expertise across NLP, Computer Vision, and AI agent-based systems, with the ability to build, deploy, and optimize scalable AI solutions using modern tools and frameworks.

Key Responsibilities:

• Design, fine-tune, and deploy generative AI models (LLMs, diffusion models, etc.) for real-world applications.
• Develop and maintain prompt engineering workflows, including prompt chaining, optimization, and evaluation for consistent output quality.
• Build NLP solutions for Q&A, summarization, information extraction, text classification, and more.
• Develop and integrate Computer Vision models for image processing, object detection, OCR, and multimodal tasks.
• Architect and implement AI agents using frameworks such as LangChain, AutoGen, CrewAI, or custom pipelines.
• Collaborate with cross-functional teams to gather requirements and deliver tailored AI-driven features.
• Optimize models for performance, cost-efficiency, and low latency in production.
• Continuously evaluate new AI research, tools, and frameworks and apply them where relevant.
• Mentor junior AI engineers and contribute to internal AI best practices and documentation.

Required Skills & Qualifications:

• Bachelor’s or Master’s in Computer Science, AI, Machine Learning, or related field.
• 4+ years of hands-on experience in AI/ML solution development.
• Proven expertise in fine-tuning LLMs (e.g., LLaMA, Mistral, Falcon, GPT-family) using techniques like LoRA, QLoRA, PEFT.
• Deep experience in prompt engineering, including zero-shot, few-shot, and retrieval-augmented generation (RAG).
• 
  
• Proficient in key AI libraries and frameworks:
• LLMs & GenAI: Hugging Face Transformers, LangChain, LlamaIndex, OpenAI API, Diffusers
• NLP: SpaCy, NLTK.
• Vision: OpenCV, MMDetection, YOLOv5/v8, Detectron2
• MLOps: MLflow, FastAPI, Docker, Git
• 
  
• Familiarity with vector databases (Pinecone, FAISS, Weaviate) and embedding generation.
• Experience with cloud platforms like AWS, GCP, or Azure, and deployment on in house GPU-backed infrastructure.
• Strong communication skills and ability to convert business problems into technical solutions.

WHO WE ARE:

TIFIN is a fintech platform backed by industry leaders including JP Morgan, Morningstar, Broadridge,Hamilton Lane, Franklin T empleton, Motive Partners and a who’s who of the financial service industry.

We are creating engaging wealth experiences to better financial lives through AI and investment intelligence-powered personalization. We are working to change the world of wealth in ways that personalization has changed the world of movies, music and more but with the added responsibility of delivering better wealth outcomes.

We use design and behavioral thinking to enable engaging experiences through software and application programming interfaces (APIs). We use investment science and intelligence to build algorithmic engines inside the software and APIs to enable better investor outcomes.

In a world where every individual is unique, we match them to financial advice and investments with a recognition of their distinct needs and goals across our investment marketplace and our advice and

planning divisions.

OUR VALUES: Go with your GUT

● Grow at the Edge. We are driven by personal growth. We get out of our comfort zone and keep egos

aside to find our genius zones. With self-awareness and integrity we strive to be the best we can

possibly be. No excuses.

●Understanding through Listening and Speaking the Truth. We value transparency. We communicate

with radical candor, authenticity and precision to create a shared understanding. We challenge, but

once a decision is made, commit fully.

●I Win for T eamwin. We believe in staying within our genius zones to succeed and we take full

ownership of our work. We inspire each other with our energy and attitude. We fly in formation to win

together.

Key responsibilities:

● Prototype Development: Build and validate prototypes by designing datasets and performing fine-tuning to demonstrate model feasibility and effectiveness.

● Model Fine-Tuning: Lead the fine-tuning process for large language models, leveraging both open-source solutions (e.g., LORA, LLAMA 2/3) and proprietary models like GPT 3.5/4.0 to address specific business needs.

● Retrieval-Augmented Generation (RAG): Design and optimize advanced RAG systems,implementing efficient methods for chunking, indexing, and managing complex document formats, such as PDFs.

● Agentic Workflows: Develop and apply agentic workflows to create advanced conversation agents tailored for various use cases.

● Prompt Engineering: Craft effective prompts to enhance the performance of large language models, such as GPT-4 and Cloud 3, ensuring solutions align with business objectives.

● Inference Frameworks: Utilize inference frameworks like VAM and advanced pipelines to improve scalability and streamline the deployment of machine learning models.

● ML Model Deployment: Lead the deployment and productionization of machine learning models, collaborating closely with software engineers to ensure seamless integration into products.

● Conversational Experiences: Work with cross-functional teams, including design and product, to craft engaging and personalized conversational AI experiences for end-users.

● Independent Execution: Demonstrate the ability to independently manage projects, deliver features, and achieve outcomes in a dynamic, fast-paced startup environment.

● Data Personalization: Leverage and analyze existing datasets to enhance model performance and create tailored user experiences, fine-tuning models to align with unique business cases.

● Startup Mindset: T ake initiative in setting up workflows, tools, and systems from scratch, showcasing flexibility and adaptability in a growing organization.

● Leadership and Collaboration: Act as a leader and independent contributor, effectively collaborating across diverse teams while managing evolving project priorities.

● Research and Innovation: Drive innovative research aligned with business goals, exploring advancements in Natural Language Understanding (NLU) and conversational AI applications.

● Knowledge Sharing: Publish and present groundbreaking research in top-tier journals and conferences, contributing to the broader scientific community and enhancing organizational credibility.

Requirements:

● 8+ years of experience

● Experience working with LLMs and Generative AI

● Experience building conversational bots

● Experience 2+ Years fine tuning models

● Experience using RAG base approaches

● Understanding of financial concepts and investing would be a big plus but not required

Key Responsibilities

• Backend & API Engineering (60% Focus)
• Design and implement REST APIs and microservices for high-performance AI systems.
• Apply enterprise object-oriented programming best practices for secure, scalable backend services.
• Integrate AI-powered features with cloud-native architectures.
• Generative AI & LLM Development (40% Focus)
• Build LLM-powered features with the OpenAI API or other LLM APIs (reasoning and non-reasoning models, temperature tuning, version control).
• Implement retrieval-augmented generation (RAG).
• Apply advanced prompt engineering and model tuning techniques for optimized results.
• Deploy and manage solutions using Docker and secure integrations (e.g., SSO, Google Drive).

What We’re Looking For

• 10+ years of backend engineering experience (REST APIs, microservices, OO enterprise architecture).
• 3+ years of experience building AI/ML solutions (LLMs, RAG, OpenAI API).
• Strong hands-on Python expertise and object-oriented design patterns.
• Hands-on experience with Langchain, Lambda, Docker, and secure system integrations.
• Proven track record delivering production-ready, scalable applications.

About Us

CLOUDSUFI, a Google Cloud Premier Partner, a Data Science and Product Engineering organization building Products and Solutions for Technology and Enterprise industries. We firmly believe in the power of data to transform businesses and make better decisions. We combine unmatched experience in business processes with cutting edge infrastructure and cloud services. We partner with our customers to monetize their data and make enterprise data dance.

Our Values

We are a passionate and empathetic team that prioritizes human values. Our purpose is to elevate the quality of lives for our family, customers, partners and the community.

Equal Opportunity Statement

CLOUDSUFI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified candidates receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, and national origin status. We provide equal opportunities in employment, advancement, and all other areas of our workplace. Please explore more at https://www.cloudsufi.com/.

Role Overview:

As a Senior Data Scientist / AI Engineer, you will be a key player in our technical leadership. You will be responsible for designing, developing, and deploying sophisticated AI and Machine Learning solutions, with a strong emphasis on Generative AI and Large Language Models (LLMs). You will architect and manage scalable AI microservices, drive research into state-of-the-art techniques, and translate complex business requirements into tangible, high-impact products. This role requires a blend of deep technical expertise, strategic thinking, and leadership.

Key Responsibilities:

• Architect & Develop AI Solutions: Design, build, and deploy robust and scalable machine learning models, with a primary focus on Natural Language Processing (NLP), Generative AI, and LLM-based Agents.
• Build AI Infrastructure: Create and manage AI-driven microservices using frameworks like Python FastAPI, ensuring high performance and reliability.
• Lead AI Research & Innovation: Stay abreast of the latest advancements in AI/ML. Lead research initiatives to evaluate and implement state-of-the-art models and techniques for performance and cost optimization.
• Solve Business Problems: Collaborate with product and business teams to understand challenges and develop data-driven solutions that create significant business value, such as building business rule engines or predictive classification systems.
• End-to-End Project Ownership: Take ownership of the entire lifecycle of AI projects—from ideation, data processing, and model development to deployment, monitoring, and iteration on cloud platforms.
• Team Leadership & Mentorship: Lead learning initiatives within the engineering team, mentor junior data scientists and engineers, and establish best practices for AI development.
• Cross-Functional Collaboration: Work closely with software engineers to integrate AI models into production systems and contribute to the overall system architecture.
• 
  

Required Skills and Qualifications

• Master’s (M.Tech.) or Bachelor's (B.Tech.) degree in Computer Science, Artificial Intelligence, Information Technology, or a related field.
• 6+ years of professional experience in a Data Scientist, AI Engineer, or related role.
• Expert-level proficiency in Python and its core data science libraries (e.g., PyTorch, Huggingface Transformers, Pandas, Scikit-learn).
• Demonstrable, hands-on experience building and fine-tuning Large Language Models (LLMs) and implementing Generative AI solutions.
• Proven experience in developing and deploying scalable systems on cloud platforms, particularly AWS. Experience with GCS is a plus.
• Strong background in Natural Language Processing (NLP), including experience with multilingual models and transcription.
• Experience with containerization technologies, specifically Docker.
• Solid understanding of software engineering principles and experience building APIs and microservices.

Preferred Qualifications

• A strong portfolio of projects. A track record of publications in reputable AI/ML conferences is a plus.
• Experience with full-stack development (Node.js, Next.js) and various database technologies (SQL, MongoDB, Elasticsearch).
• Familiarity with setting up and managing CI/CD pipelines (e.g., Jenkins).
• Proven ability to lead technical teams and mentor other engineers.
• Experience developing custom tools or packages for data science workflows.

Job Title: AI Architect

Location: [Pune, Onsite]

Experience: 6+ Years

Employment Type: Full-Time

Working requirements:

Engagement Commitment: 3 months to start with to ensure that the engagement is progressing well.

Deliverable: Minimum Viable Product is already there, enhancement is required

Working Hours Preferable: California Time (which is ~12 hours behind IST), requesting this because then it will be easier to huddle and both US and India team can work simultaneously

About the Role:

We are seeking an experienced and visionary AI Architect to lead the design, development, and deployment of cutting-edge AI/ML solutions. The ideal candidate will have a strong foundation in artificial intelligence, machine learning, data engineering, and cloud technologies, with the ability to architect scalable and high-performing systems.

Key Responsibilities:

• Design and implement end-to-end AI/ML architectures for large-scale enterprise applications.
• Lead AI strategy, frameworks, and roadmaps in collaboration with product and engineering teams.
• Guide the development of machine learning models (e.g., NLP, Computer Vision, Predictive Analytics).
• Define best practices for model training, validation, deployment, monitoring, and versioning.
• Collaborate with data engineers to build and maintain robust data pipelines.
• Choose the right AI tools, libraries, and platforms based on project needs (e.g., TensorFlow, PyTorch, Hugging Face).
• Work with cloud platforms (AWS, Azure, GCP) to deploy and manage AI models and services.
• Ensure AI/ML solutions comply with data privacy, governance, and ethical standards.
• Mentor junior AI engineers and data scientists.

Required Skills & Qualifications:

• Bachelor's or Master’s degree in Computer Science, Data Science, AI/ML, or a related field.
• 6+ years of experience in AI/ML, with at least 2+ years in an architecture or lead role.
• Strong experience with AI/ML frameworks: TensorFlow, PyTorch, Scikit-learn, etc.
• Deep understanding of LLMs, transformers, GPT models, and fine-tuning techniques.
• Proficiency in Python and data processing libraries (Pandas, NumPy, etc.).
• Experience with cloud-based AI services (AWS SageMaker, Azure ML, Vertex AI, etc.).
• Knowledge of MLOps practices, CI/CD for models, and model monitoring.
• Familiarity with data lakehouse architecture, real-time inference, and APIs.
• Strong communication and leadership skills.

Preferred Qualifications:

• Experience with generative AI applications and prompt engineering.
• Knowledge of reinforcement learning or federated learning.
• Publications or contributions to open-source AI projects.
• AI certifications from cloud providers (AWS, Azure, GCP).

Why Join Us?

• Work on transformative AI projects across industries.
• Collaborate with a passionate and innovative team.
• Flexible work environment with remote/hybrid options.
• Continuous learning, upskilling, and growth opportunities.

Role Description

This is a full-time on-site role for the Head of Artificial Intelligence at KGiSL Educational Institutions, located in Coimbatore. The Head of Artificial Intelligence will be responsible for overseeing and developing AI strategies and initiatives. Daily tasks include leading AI research projects, developing innovative AI solutions, managing a team of AI professionals, and collaborating with various departments to integrate AI methodologies into different functions. The role also involves staying current with industry advancements and ensuring compliance with ethical and regulatory standards.

Qualifications

• Strong background in Computer Science and Data Science
• Extensive experience in Pattern Recognition, Natural Language Processing (NLP), and Computer Vision
• Proven leadership and team management skills
• Excellent problem-solving and analytical skills
• Advanced degree Master's in a related field
• Strong communication and collaboration skills
• Experience in the educational sector is a plus
• 8 Years of experience in Artificial Intelligence

About the Role:

We’re looking for a curious and motivated NLP enthusiast to help us build and fine-tune Named Entity Recognition (NER) models tailored to our domain. In addition to NER, you’ll play an important role in developing ontologies that underpin our understanding of entities and relationships—so if you’ve used tools like Protégé or are excited to learn, this is your chance.

Responsibilities:

• Train and fine-tune NER models using frameworks like SpaCy, HuggingFace, or similar
• Preprocess text data and support annotation efforts using tools like Label Studio or Prodigy
• 
  
• Evaluating model performance and improving precision/recall
• 
  
• Adapting pre-trained models to domain-specific data
• 
  
• Develop and maintain domain ontologies using tools like Protégé
• 
  
• Refine ontology structure and concept hierarchy
• 
  
• Document experiments and share insights with the engineering team
• 
  

You Should Have:

• Familiarity with Python and NLP libraries (e.g. NLTK, SpaCy, Transformers)
• 
  
• Understanding of key NER concepts and evaluation metrics (precision, recall, F1-score)
• 
  
• Exposure to ontology development, semantic relationships, or ontology modeling (via coursework or internship)
• 
  

Experience working with text datasets, even academic ones like CoNLL or OntoNotes

LLM Engineer 

3-6 Years

Bengaluru/Mumbai/Remote

WHO WE ARE: 

TIFIN is a fintech platform backed by industry leaders including JP Morgan, Morningstar, Broadridge, Hamilton Lane, Franklin Templeton, Motive Partners and a who’s who of the financial service industry. We are creating engaging wealth experiences to better financial lives through AI and investment intelligence-powered personalization. We are working to change the world of wealth in ways that personalization has changed the world of movies, music and more but with the added responsibility of delivering better wealth outcomes. 

We use design and behavioral thinking to enable engaging experiences through software and application programming interfaces (APIs). We use investment science and intelligence to build algorithmic engines inside the software and APIs to enable better investor outcomes. In a world where every individual is unique, we match them to financial advice and investments with a recognition of their distinct needs and goals across our investment marketplace and our advice and planning divisions. 

OUR VALUES: Go with your GUT 

● Grow at the Edge. We are driven by personal growth. We get out of our comfort zone and keep egos aside to find our genius zones. With self-awareness and integrity we strive to be the best we can possibly be. No excuses. 

●Understanding through Listening and Speaking the Truth. We value transparency. We communicate with radical candor, authenticity and precision to create a shared understanding. We challenge, but once a decision is made, commit fully. 

●I Win for Teamwin. We believe in staying within our genius zones to succeed and we take full ownership of our work. We inspire each other with our energy and attitude. We fly in formation to win together.

Key responsibilities: 

• Work closely with the design and product teams to help craft conversational experiences for our users 
• Ability to work independently to deliver features that the team design 
• You need to own outcomes without someone watching over you 
• Understand the data we have and identify how we could leverage it to create more personalised experiences for our users 
• Fine tune models with data specific to our use case 
• Use different RAG approaches to augment data that the LLM already has ● Ability to be a leader and independent contributor (we’re a startup so be ready to do whatever it takes) 
• Setup new workflow, systems and tool from the ground up (you will have support, but we’re building things from scratch)
• 
  

Requirements: 

• 3+ years of experience
• Experience working with LLMs and Generative AI 
• Experience building conversational bots 
• Experience fine tuning models 
• Experience using RAG base approaches 

Understanding of financial concepts and investing would be a big plus but not required

We’re searching for an experienced Data Scientist with a strong background in NLP and large language models to join our innovative team! If you thrive on solving complex language problems and are hands-on with spaCy, NER, RNN, LSTM, Transformers, and LLMs (like GPT), we want to connect.

What You’ll Do:

• Build & deploy advanced NLP solutions: entity recognition, text classification, and more.
• Fine-tune and train state-of-the-art deep learning models (RNN, LSTM, Transformer, GPT).
• Apply libraries like spaCy for NER and text processing.
• Collaborate across teams to integrate AI-driven features.
• Preprocess, annotate, and manage data workflows.
• Analyze model performance and drive continuous improvement.
• Stay current with AI/NLP breakthroughs and advocate innovation.

What You Bring:

• 4-5+ years of industry experience in data science/NLP.
• Strong proficiency in Python, spaCy, NLTK, PyTorch or TensorFlow.
• Hands-on with NER, custom pipelines, and prompt engineering.
• Deep understanding and experience with RNN, LSTM, Transformer, and LLMs/GPT.
• Collaborative and independent problem solver.

Nice to Have:

• Experience deploying NLP models (Docker, cloud).
• MLOps, vector databases, RAG, semantic search.
• Annotation tools and team management.

Why Join Us?

• Work with cutting-edge technology and real-world impact.
• Flexible hours, remote options, and a supportive, inclusive culture.
• Competitive compensation and benefits.

Ready to push the boundaries of AI with us? Apply now or DM for more info!

Job Title : Data Scientist – NLP & LLM

Experience Required : 4 to 5+ Years

Location : Gurugram

Notice Period : Immediate Joiner Preferred

Employment Type : Full-Time

Job Summary :

We are seeking a highly skilled Data Scientist with strong expertise in Natural Language Processing (NLP) and modern deep learning techniques. The ideal candidate will have hands-on experience working with NER, RNN, LSTM, Transformers, GPT models, and Large Language Models (LLMs), including frameworks such as spaCy.

Mandatory Skills : NLP, spaCy, NER (Named-entity Recognition), RNN (Recurrent Neural Network), LSTM (Long Short-Term Memory), Transformers, GPT, LLMs, Python

Key Responsibilities :

• Design and implement NLP models for tasks like text classification, entity recognition, summarization, and question answering.
• Develop and optimize models using deep learning architectures such as RNN, LSTM, and Transformer-based models.
• Fine-tune or build models using pre-trained LLMs such as GPT, BERT, etc.
• Work with tools and libraries including spaCy, Hugging Face Transformers, and other relevant frameworks.
• Perform data preprocessing, feature extraction, and training pipeline development.
• Evaluate model performance and iterate with scalable solutions.
• Collaborate with engineering and product teams to integrate models into production.

Required Skills :

• 4 to 5+ years of hands-on experience in Data Science and NLP.
• Strong understanding of NER, RNN, LSTM, Transformers, GPT, and LLM architectures.
• Experience with spaCy, TensorFlow, PyTorch, and Hugging Face Transformers.
• Proficient in Python and its ML ecosystem (NumPy, pandas, scikit-learn, etc.).
• Familiarity with prompt engineering and fine-tuning LLMs is a plus.
• Excellent problem-solving and communication skills.

About the Role

We are seeking an innovative Data Scientist specializing in Natural Language Processing (NLP) to join our technology team in Bangalore. The ideal candidate will harness the power of language models and document extraction techniques to transform legal information into accessible, actionable insights for our clients.

Responsibilities

• Develop and implement NLP solutions to automate legal document analysis and extraction
• Create and optimize prompt engineering strategies for large language models
• Design search functionality leveraging semantic understanding of legal documents
• Build document extraction pipelines to process unstructured legal text data
• Develop data visualizations using PowerBI and Tableau to communicate insights
• Collaborate with product and legal teams to enhance our tech-enabled services
• Continuously improve model performance and user experience

Requirements

• Bachelor's degree in relevant field
• 1-5 years of professional experience in data science, with focus on NLP applications
• Demonstrated experience working with LLM APIs (e.g., OpenAI, Anthropic, )
• Proficiency in prompt engineering and optimization techniques
• Experience with document extraction and information retrieval systems
• Strong skills in data visualization tools, particularly PowerBI and Tableau
• Excellent programming skills in Python and familiarity with NLP libraries
• Strong understanding of legal terminology and document structures (preferred)
• Excellent communication skills in English

What We Offer

• Competitive salary and benefits package
• Opportunity to work at India's largest legal tech company
• Professional growth in the fast-evolving legal technology sector
• Collaborative work environment with industry experts
• Modern office located in Bangalore
• Flexible work arrangements

Qualified candidates are encouraged to apply with a resume highlighting relevant experience with NLP, prompt engineering, and data visualization tools.

Location: Bangalore, India

Ontrac Solutions is a leading technology consulting firm specializing in cutting-edge solutions that drive business transformation. We partner with organizations to modernize their infrastructure, streamline processes, and deliver tangible results.

Our client is actively seeking a Conversational AI Engineer with deep hands-on experience in Google Contact Center AI (CCAI) to join a high-impact digital transformation project via a GCP Premier Partner. As part of a staff augmentation model, you will be embedded within the client’s technology or contact center innovation team, delivering scalable virtual agent solutions that improve customer experience, agent productivity, and call deflection.

Key Responsibilities:

• Lead the design and buildout of Dialogflow CX/ES agents across chat and voice channels.
• Integrate virtual agents with client systems and platforms (e.g., Genesys, Twilio, NICE CXone, Salesforce).
• Develop fulfillment logic using Google Cloud Functions, Cloud Run, and backend integrations (via REST APIs and webhooks).
• Collaborate with stakeholders to define intent models, entity schemas, and user flows.
• Implement Agent Assist and CCAI Insights to augment live agent productivity.
• Leverage Google Cloud tools including Pub/Sub, Logging, and BigQuery to support and monitor the solution.
• Support tuning, regression testing, and enhancement of NLP performance using live utterance data.
• Ensure adherence to enterprise security and compliance requirements.

Required Skills & Qualifications:

• 3+ years developing conversational AI experiences, including at least 1–2 years with Google Dialogflow CX or ES.
• Solid experience across GCP services (Functions, Cloud Run, IAM, BigQuery, etc.).
• Strong skills in Python or Node.js for webhook fulfillment and backend logic.
• Knowledge of NLU/NLP modeling, training, and performance tuning.
• Prior experience working in client-facing or embedded roles via consulting or staff augmentation.
• Ability to communicate effectively with technical and business stakeholders.

Nice to Have:

• Hands-on experience with Agent Assist, CCAI Insights, or third-party CCaaS tools (Genesys, Twilio Flex, NICE CXone).
• Familiarity with Vertex AI, AutoML, or other GCP ML services.
• Experience in regulated industries (healthcare, finance, insurance, etc.).
• Google Cloud certification in Cloud Developer or CCAI Engineer.

Job Title : AI Architect

Location : Pune (On-site | 3 Days WFO)

Experience : 6+ Years

Shift : US or flexible shifts

Job Summary :

We are looking for an experienced AI Architect to design and deploy AI/ML solutions that align with business goals.

The role involves leading end-to-end architecture, model development, deployment, and integration using modern AI/ML tools and cloud platforms (AWS/Azure/GCP).

Key Responsibilities :

• Define AI strategy and identify business use cases
• Design scalable AI/ML architectures
• Collaborate on data preparation, model development & deployment
• Ensure data quality, governance, and ethical AI practices
• Integrate AI into existing systems and monitor performance

Must-Have Skills :

• Machine Learning, Deep Learning, NLP, Computer Vision
• Data Engineering, Model Deployment (CI/CD, MLOps)
• Python Programming, Cloud (AWS/Azure/GCP)
• Distributed Systems, Data Governance
• Strong communication & stakeholder collaboration

Good to Have :

• AI certifications (Azure/GCP/AWS)
• Experience in big data and analytics

Greentree Capital is seeking an enthusiastic Software Network Engineering Intern to join our growing team. This internship will focus on integrating artificial intelligence and ChatGPT functionalities into our AI-powered chatbot systems across various investment project websites. The ideal candidate will have a passion for artificial intelligence and software development, with a strong foundation in programming and problem-solving.

Responsibilities:

- Collaborate with the development team to design and implement AI-driven chatbot functionalities for our investment project websites.

- Assist in the integration of ChatGPT into existing systems to enhance user interaction and experience using artificial intelligence technologies.

- Conduct research on artificial intelligence technologies, natural language processing (NLP), and recommend best practices for chatbot development.

- Test and debug AI-driven chatbot functionalities to ensure optimal performance and user satisfaction.

- Gather and analyze user feedback to improve AI-driven chatbot responses and capabilities.

- Document technical specifications and processes for the development of AI-enhanced chatbot features.

Qualifications

- Strong foundation in programming languages such as Python, Java, or JavaScript.

- Familiarity with AI concepts, machine learning, and natural language processing (NLP) technologies.

- Experience with chatbot development and/or artificial intelligence frameworks is a plus.

- Ability to work in a fast-paced environment, be self-motivated, organized, and detail-oriented.

- Excellent communication skills, with the ability to work collaboratively within a team.

- A keen interest in learning about new artificial intelligence technologies and business processes.

Education & Experience

- Currently pursuing a Bachelor’s degree in Computer Science, Software Engineering, or a related field.

- Previous experience in software development or AI-related projects is preferred but not required.

Greentree’s website: www.greentree.group

We are looking for skilled AI Engineer for our organization. Please have a look to below details and revert accordingly if we can discuss further

Company Name: TechWize (A Business unit of Mangalam Information Technologies Pvt Ltd.)

Our Accreditations -

• 25 years of industry presence
• Salesforce Partner
• ISO 27001:2019 certified
• Great Place to Work certified
• HIPAA Compliant
• SOC2 Compliant
• NASSCOM Member

Our EVP (Employee Value proposition)

• We are a Great place to work certified company.
• 30 Earned Leaves during calendar Year
• Career progression and continuous Learning & Development (Technical, Soft skills, Communication, Leadership)
• Performance bonus & Loyalty Bonus Benefits
• 5 Days working
• Rewards and Recognition programs
• Standard Salary as per market norms
• Equal career opportunities, No discrimination
• Magnificent & Dynamic Culture
• Festival celebrations & fun events

Explore more : https://techwize.com/, https://mangalaminfotech.com/

Position: AI/Sr. AI Engineer

Job location: Ahmedabad

Experience: 4+ years

Job Overview:

We are seeking a highly experienced and innovative Senior AI Engineer with a strong background in Generative AI, including LLM fine-tuning and prompt engineering. This role requires hands-on expertise across NLP, Computer Vision, and AI agent-based systems, with the ability to build, deploy, and optimize scalable AI solutions using modern tools and frameworks.

Key Responsibilities:

• Design, fine-tune, and deploy generative AI models (LLMs, diffusion models, etc.) for real-world applications.
• Develop and maintain prompt engineering workflows, including prompt chaining, optimization, and evaluation for consistent output quality.
• Build NLP solutions for Q&A, summarization, information extraction, text classification, and more.
• Develop and integrate Computer Vision models for image processing, object detection, OCR, and multimodal tasks.
• Architect and implement AI agents using frameworks such as LangChain, AutoGen, CrewAI, or custom pipelines.
• Collaborate with cross-functional teams to gather requirements and deliver tailored AI-driven features.
• Optimize models for performance, cost-efficiency, and low latency in production.
• Continuously evaluate new AI research, tools, and frameworks and apply them where relevant.
• Mentor junior AI engineers and contribute to internal AI best practices and documentation.

Required Skills & Qualifications:

• Bachelor’s or Master’s in Computer Science, AI, Machine Learning, or related field.
• 5+ years of hands-on experience in AI/ML solution development.
• Proven expertise in fine-tuning LLMs (e.g., LLaMA, Mistral, Falcon, GPT-family) using techniques like LoRA, QLoRA, PEFT.
• Deep experience in prompt engineering, including zero-shot, few-shot, and retrieval-augmented generation (RAG).
• 
  
• Proficient in key AI libraries and frameworks:
• LLMs & GenAI: Hugging Face Transformers, LangChain, LlamaIndex, OpenAI API, Diffusers
• NLP: SpaCy, NLTK.
• Vision: OpenCV, MMDetection, YOLOv5/v8, Detectron2
• MLOps: MLflow, FastAPI, Docker, Git
• 
  
• Familiarity with vector databases (Pinecone, FAISS, Weaviate) and embedding generation.
• Experience with cloud platforms like AWS, GCP, or Azure, and deployment on in house GPU-backed infrastructure.
• Strong communication skills and ability to convert business problems into technical solutions.

Lead Data Scientist role

Work Location- Remote

Exp-7+ Years Relevant

Notice Period- Immediate

Job Overview:

We are seeking a highly skilled and experienced Senior Data Scientist with expertise in Machine Learning (ML), Natural Language Processing (NLP), Generative AI (GenAI) and Deep Learning (DL).

Mandatory Skills:

• 5+ years of work experience in writing code in Python

• Experience in using various Python libraries like Pandas, NumPy

• Experience in writing good quality code in Python and code refactoring techniques (e.g.,IDE’s –  PyCharm, Visual Studio Code; Libraries – Pylint, pycodestyle, pydocstyle, Black)

• Strong experience on AI assisted coding experience.

• AI assisted coding for existing IDE's like vscode.

• Experimented multiple AI assisted tools and done research around it.

• Deep understanding of data structures, algorithms, and excellent problem-solving skills

• Experience in Python, Exploratory Data Analysis (EDA), Feature Engineering, Data Visualisation

 • Machine Learning libraries like Scikit-learn, XGBoost

 • Experience in CV, NLP or Time Series.

• Experience in building models for ML tasks (Regression, Classification)

• Should have Experience into LLM, LLM Fine Tuning, Chatbot, RAG Pipeline Chatbot, LLM Solution, Multi Modal LLM Solution, GPT, Prompt, Prompt Engineering, Tokens, Context Window, Attention Mecanism, Embeddings

• Experience of model training and serving on any of the cloud environments (AWS, GCP,Azure)

• Experience in distributed training of models on Nvidia GPU’s

• Familiarity in Dockerizing the model and create model end points (Rest or gRPC)

• Strong working knowledge of source code control tools such as Git, Bitbucket

• Prior experience of designing, developing and maintaining Machine Learning solution through its Life Cycle is highly advantageous

• Strong drive to learn and master new technologies and techniques

• Strong communication and collaboration skills

• Good attitude and self-motivated

Mandatory Skills- *Strong Python coding, Machine Learning, Software Engineering, Deep Learning, Generative AI, LLM, AI Assisted coding tools.*

Duties

About Us:

We are a UK-based conveyancing firm dedicated to transforming property transactions through cutting-edge artificial intelligence. We are seeking a talented Machine Learning Engineer with 1–2 years of experience to join our growing AI team. This role offers a unique opportunity to work on scalable ML systems and Generative AI applications in a dynamic and impactful environment.

Responsibilities:

Design, Build, and Deploy Scalable ML Models

You will be responsible for end-to-end development of machine learning and deep learning models that can be scaled to handle real-world data and use cases. This includes training, testing, validating, and deploying models efficiently in production environments.

Develop NLP-Based Automation Solutions

You'll create natural language processing pipelines that automate tasks such as document understanding, text classification, and summarisation, enabling intelligent handling of property-related documents.

Prototype and Implement Generative AI Tools

Work closely with AI researchers and developers to experiment with and implement Generative AI techniques for tasks like content generation, intelligent suggestions, and workflow automation.

Integrate ML Models with APIs and Tools

Integrate machine learning models with external APIs and internal systems to support business operations and enhance customer service workflows.

Maintain CI/CD for ML Features

Collaborate with DevOps teams to manage CI/CD pipelines that automate testing, validation, and deployment of ML features and updates.

Review, Debug, and Optimise Models

Participate in thorough code reviews and model debugging sessions. Continuously monitor and fine-tune deployed models to improve their performance and reliability.

Cross-Team Communication

Communicate technical concepts effectively across teams, translating complex ML ideas into actionable business value.

·      Design, build, and deploy scalable ML and deep learning models for real-world applications.

·      Develop NLP-based and Gen AI based solutions for automating document understanding, classification, and summarisation.

·      Collaborate with AI researchers and developers to prototype and implement Generative AI tools.

·      Integrate ML and Gen AI models with APIs and internal tools to support business operations.

·      Work with CI/CD pipelines to ensure continuous delivery of ML features and updates.

·      Participate in code reviews, debugging, and performance optimisation of deployed models.

·      Communicate technical concepts effectively across cross-functional teams.

Essentials From Day 1:

Security and Compliance:

         • Ensure ML systems are built with GDPR compliance in mind.

         • Adhere to RBAC policies and maintain secure handling of personal and property         data.

Sandboxing and Risk Management:

         • Use sandboxed environments for testing new ML features.

         • Conduct basic risk analysis for model performance and data bias.

         • Use sandboxed environments for testing and development.

         • Evaluate and mitigate potential risks in model behavior and data pipelines

Qualifications:

·      1–2 years of professional experience in Machine Learning and Deep Learning projects.

·      Proficient in Python, Object-Oriented Programming (OOPs), and Data Structures & Algorithms (DSA).

·      Strong understanding of NLP and its real-world applications.

·      Exposure to building scalable ML systems and deploying models into production.

·      Basic working knowledge of Generative AI techniques and frameworks.

·      Familiarity with CI/CD tools and experience with API-based integration.

·      Excellent analytical thinking and debugging capabilities.

·      Strong interpersonal and communication skills for effective team collaboration.

Job Overview:

We are seeking a highly experienced and innovative Senior AI Engineer with a strong background in Generative AI, including LLM fine-tuning and prompt engineering. This role requires hands-on expertise across NLP, Computer Vision, and AI agent-based systems, with the ability to build, deploy, and optimize scalable AI solutions using modern tools and frameworks.

Required Skills & Qualifications:

• Bachelor’s or Master’s in Computer Science, AI, Machine Learning, or related field.
• 5+ years of hands-on experience in AI/ML solution development.
• Proven expertise in fine-tuning LLMs (e.g., LLaMA, Mistral, Falcon, GPT-family) using techniques like LoRA, QLoRA, PEFT.
• Deep experience in prompt engineering, including zero-shot, few-shot, and retrieval-augmented generation (RAG).
• Proficient in key AI libraries and frameworks:
• LLMs & GenAI: Hugging Face Transformers, LangChain, LlamaIndex, OpenAI API, Diffusers
• NLP: SpaCy, NLTK.
• Vision: OpenCV, MMDetection, YOLOv5/v8, Detectron2
• MLOps: MLflow, FastAPI, Docker, Git
• Familiarity with vector databases (Pinecone, FAISS, Weaviate) and embedding generation.
• Experience with cloud platforms like AWS, GCP, or Azure, and deployment on in house GPU-backed infrastructure.
• Strong communication skills and ability to convert business problems into technical solutions.

Preferred Qualifications:

• Experience building multimodal systems (text + image, etc.)
• Practical experience with agent frameworks for autonomous or goal-directed AI.
• Familiarity with quantization, distillation, or knowledge transfer for efficient model deployment.

Key Responsibilities:

• Design, fine-tune, and deploy generative AI models (LLMs, diffusion models, etc.) for real-world applications.
• Develop and maintain prompt engineering workflows, including prompt chaining, optimization, and evaluation for consistent output quality.
• Build NLP solutions for Q&A, summarization, information extraction, text classification, and more.
• Develop and integrate Computer Vision models for image processing, object detection, OCR, and multimodal tasks.
• Architect and implement AI agents using frameworks such as LangChain, AutoGen, CrewAI, or custom pipelines.
• Collaborate with cross-functional teams to gather requirements and deliver tailored AI-driven features.
• Optimize models for performance, cost-efficiency, and low latency in production.
• Continuously evaluate new AI research, tools, and frameworks and apply them where relevant.
• Mentor junior AI engineers and contribute to internal AI best practices and documentation.

We're hiring a skilled AI Developer to join our growing team at Geo Wave Pvt Ltd, based in Malé, Maldives. You’ll lead the development of smart automation tools, reporting dashboards, and AI systems to optimize our internal operations across fuel, logistics, and finance.

Responsibilities:

• Build and deploy AI-powered business tools
• Implement OCR/NLP solutions for document automation
• Create custom dashboards and backend APIs
• Automate workflows for reporting, inventory, and sales tracking

Must-Have Skills:

Python, Flask/FastAPI, TensorFlow/PyTorch, OCR/NLP, API development

Good-to-Have:

React.js, PostgreSQL, AWS/GCP, Docker

Role: Techno-Creative Post-Production Intern (Fresher)

We’re looking for a tech-savvy, creative fresher who loves video, audio, language, and pop culture. If syncing dialogues, experimenting with AI tools, and chasing audio-visual perfection excite you — this role is for you.

What You’ll Do:

• Review AI-dubbed videos for sync, tone, and accuracy

• Translate/adapt dialogues across English + 1 Indian language

• Adjust pitch, emotion, and AV timing

• Work with tech + creative teams to refine workflows

• Explore tools like ElevenLabs, Azure & open-source dubbing tech

You Are:

• Fluent in English + 1 Indian regional language

• Detail-obsessed and creatively curious

• Excited by tech, dubbing, editing, acting, or gaming

Freshers welcome. Passion matters most.

Job Title: BigID Deployment Lead/ SME

Duration: 6+ Months

Exp. Level: 8-12yrs

Job Summary:

We are seeking a highly skilled and experienced BigID Deployment Lead / Subject Matter Expert (SME) to lead the implementation, configuration, and optimization of BigID's data intelligence platform. The ideal candidate will have deep expertise in data discovery, classification, privacy, and governance, and will play a pivotal role in ensuring successful deployment and integration of BigID solutions across enterprise environments.

Key Responsibilities:

Lead end-to-end deployment and configuration of BigID solutions in complex enterprise environments.

Serve as the primary SME for BigID, advising stakeholders on best practices, architecture, and integration strategies.

Collaborate with cross-functional teams including security, compliance, data governance, and IT to align BigID capabilities with business requirements.

Customize and fine-tune BigID policies, connectors, and scanning configurations to meet data privacy and compliance objectives (e.g., GDPR, CCPA, HIPAA).

Conduct workshops, training sessions, and knowledge transfers for internal teams and clients.

Troubleshoot and resolve technical issues related to BigID deployment, performance, and data discovery.

Stay current with BigID product updates, industry trends, and regulatory changes to ensure continuous improvement and compliance.

Required Qualifications:

Bachelor's or Master's degree in Computer Science, Information Technology, Cybersecurity, or a related field.

5+ years of experience in data governance, privacy, or security domains.

2+ years of hands-on experience with BigID platform deployment and configuration.

Strong understanding of data classification, metadata management, and data mapping.

Experience with cloud platforms (AWS, Azure, GCP) and integrating BigID with cloud-native services.

Familiarity with data privacy regulations (GDPR, CCPA, etc.) and risk management frameworks.

Excellent communication, documentation, and stakeholder management skills.

Preferred Qualifications:

BigID certification(s) or formal training.

Experience with scripting (Python, PowerShell) and API integrations.

Background in enterprise data architecture or data security.

• Experience working in Agile/Scrum environments.

POSITION / TITLE: Data Science Lead

Location: Offshore – Hyderabad/Bangalore/Pune

Who are we looking for?

Individuals with 8+ years of experience implementing and managing data science projects. Excellent working knowledge of traditional machine learning and LLM techniques. 

‎ The candidate must demonstrate the ability to navigate and advise on complex ML ecosystems from a model building and evaluation perspective. Experience in NLP and chatbots domains is preferred.

We acknowledge the job market is blurring the line between data roles: while software skills are necessary, the emphasis of this position is on data science skills, not on data-, ML- nor software-engineering.

Responsibilities:

· Lead data science and machine learning projects, contributing to model development, optimization and evaluation. 

· Perform data cleaning, feature engineering, and exploratory data analysis.  

· Translate business requirements into technical solutions, document and communicate project progress, manage non-technical stakeholders.

· Collaborate with other DS and engineers to deliver projects.

Technical Skills – Must have:

· Experience in and understanding of the natural language processing (NLP) and large language model (LLM) landscape.

· Proficiency with Python for data analysis, supervised & unsupervised learning ML tasks.

· Ability to translate complex machine learning problem statements into specific deliverables and requirements.

· Should have worked with major cloud platforms such as AWS, Azure or GCP.

· Working knowledge of SQL and no-SQL databases.

· Ability to create data and ML pipelines for more efficient and repeatable data science projects using MLOps principles.

· Keep abreast with new tools, algorithms and techniques in machine learning and works to implement them in the organization.

· Strong understanding of evaluation and monitoring metrics for machine learning projects.

Technical Skills – Good to have:

· Track record of getting ML models into production

· Experience building chatbots.

· Experience with closed and open source LLMs.

· Experience with frameworks and technologies like scikit-learn, BERT, langchain, autogen…

· Certifications or courses in data science.

Education:

· Master’s/Bachelors/PhD Degree in Computer Science, Engineering, Data Science, or a related field. 

Process Skills:

· Understanding of  Agile and Scrum  methodologies.  

· Ability to follow SDLC processes and contribute to technical documentation.  

Behavioral Skills :

· Self-motivated and capable of working independently with minimal management supervision.

· Well-developed design, analytical & problem-solving skills

· Excellent communication and interpersonal skills.  

· Excellent team player, able to work with virtual teams in several time zones.

We’re hiring a hands-on Full-Stack Developer to join as our first technical hire and help turn our operational edge into scalable software. You’ll work directly with the founding team to:

* Build internal and guest-facing tools in React

* Develop a Node.js backend to power core workflows

* Integrate with property management software APIs (e.g., Guesty, Hostaway, Airbnb)

* Implement and extend functionality using AI APIs like OpenAI (required)

Our Stack

* Frontend: React

* Backend: Node.js (Express or similar)

* Database: MongoDB or Postgres

* APIs: REST/GraphQL, PMS integrations

* AI: OpenAI API and related services

Must-Have Skills

* 2+ years of full-stack development experience

* Strong proficiency in React and Node.js

* Demonstrated experience integrating external APIs (especially SaaS or PMS platforms)

* Familiarity working with OpenAI or other AI APIs

* Ability to work independently and ship quickly

Nice to Have

* Background in hospitality, rentals, or operational software

* Experience building dashboards or guest lifecycle tools

* Bonus: Prior experience with Guesty, Hostaway, or PMS APIs

We're at the forefront of creating advanced AI systems, from fully autonomous agents that provide intelligent customer interaction to data analysis tools that offer insightful business solutions. We are seeking enthusiastic interns who are passionate about AI and ready to tackle real-world problems using the latest technologies.

Duration: 6 months

Perks:

- Hands-on experience with real AI projects.

- Mentoring from industry experts.

- A collaborative, innovative and flexible work environment

After completion of the internship period, there is a chance to get a full-time opportunity as AI/ML engineer (Up to 12 LPA).

Compensation:

- Joining Bonus: A one-time bonus of INR 2,500 will be awarded upon joining.

- Stipend: Base is INR 8000/- & can increase up to 20000/- depending upon performance matrix.

Key Responsibilities

• Experience working with python, LLM, Deep Learning, NLP, etc..
• Utilize GitHub for version control, including pushing and pulling code updates.
• Work with Hugging Face and OpenAI platforms for deploying models and exploring open-source AI models.
• Engage in prompt engineering and the fine-tuning process of AI models.

Requirements

• Proficiency in Python programming.
• Experience with GitHub and version control workflows.
• Familiarity with AI platforms such as Hugging Face and OpenAI.
• Understanding of prompt engineering and model fine-tuning.
• Excellent problem-solving abilities and a keen interest in AI technology.

To Apply Click below link and submit the Assignment

https://pgagi.in/jobs/28df1e98-f0c3-4d58-9509-d5b1a4ea9754

Knowledge of Gen AI technology ecosystem including top tier LLMs, prompt engineering, knowledge of development frameworks such as LLMaxindex and LangChain, LLM fine tuning and experience in architecting RAGs and other LLM based solution for enterprise use cases. 1. Strong proficiency in programming languages like Python and SQL. 2. 3+ years of experience of predictive/prescriptive analytics including Machine Learning algorithms (Supervised and Unsupervised) and deep learning algorithms and Artificial Neural Networks such as Regression , classification, ensemble model,RNN,LSTM,GRU. 3. 2+ years of experience in NLP, Text analytics, Document AI, OCR, sentiment analysis, entity recognition, topic modeling 4. Proficiency in LangChain and Open LLM frameworks to perform summarization, classification, Name entity recognition, Question answering 5. Proficiency in Generative techniques prompt engineering, Vector DB, LLMs such as OpenAI,LlamaIndex, Azure OpenAI, Open-source LLMs will be important 6. Hands-on experience in GenAI technology areas including RAG architecture, fine tuning techniques, inferencing frameworks etc 7. Familiarity with big data technologies/frameworks 8. Sound knowledge of Microsoft Azure

Job Title: Senior Data Scientist

Location: Hyderabad, India

Experience Level: 3+ years

Job Summary:

We are seeking a highly skilled Senior Data Scientist to join our dynamic team. The ideal candidate will have expertise in Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Computer Vision, Transformers, Retrieval-Augmented Generation (RAG), and Generative AI (LLMs, Diffusion Models, etc.). Additionally, proficiency in Prompt Engineering is required. The role also demands secondary skills in Django, Database Management (MySQL, NoSQL), and REST API development.

Required Skills & Qualifications:

 Programming: Proficiency in Python.

 Machine Learning & Deep Learning: Strong experience in developing and deploying ML/DL models.

 NLP: Expertise in working with NLP frameworks such as Hugging Face Transformers, SpaCy, NLTK, etc.

 Computer Vision: Experience with OpenCV, TensorFlow, PyTorch, or other relevant frameworks.

 Generative AI: Hands-on experience with LLMs, diffusion models, GANs, VAEs, and other generative techniques.

 Transformers & RAG: Strong understanding of transformer architectures (BERT, GPT, LLAMA, etc.) and retrieval-augmented generation methods.

 Prompt Engineering: Ability to design, optimize, and implement effective prompts for AI applications.

 Django: Experience in building and maintaining backend services and APIs.

 Database Management: Proficiency in MySQL and NoSQL databases for efficient data handling.

 REST API Development: Experience in developing and integrating APIs for AIpowered applications.

 Cloud & Deployment: Knowledge of cloud platforms (AWS, GCP, Azure) and deployment tools like Docker & Kubernetes.

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 
• Minimum of 3 years of professional experience in developing and deploying AI/ML solutions. 
• Strong proficiency in Python and relevant libraries such as TensorFlow, PyTorch, scikit-learn, and Transformers.
• Hands-on experience with at least one Python web framework (FastAPI or Flask) for building APIs and backend services.
• Solid understanding of machine learning algorithms, deep learning architectures, and GenAI concepts.
• Experience with containerization technologies (Docker) and orchestration platforms (Kubernetes).
• Proven experience working with the Azure cloud platform and its AI/ML and container services.
• Familiarity with data engineering concepts and tools for data processing and preparation.
• Experience with CI/CD pipelines and DevOps practices.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration skills. 
• Ability to work independently and as part of a team.

Preferred Qualifications:

• Experience with MLOps practices and tools for managing the ML lifecycle. 
• Familiarity with other cloud platforms (e.g., AWS, GCP).
• Experience with specific AI/ML application domains (e.g., NLP, computer vision, time series analysis).
• Contributions to open-source AI/ML projects.
• Relevant certifications in AI/ML or cloud technologies.

Job Title : AI/ML Engineer – DevOps & Cloud Automation

Experience : 3+ Years

Location : Gurgaon (WFO)

Job Summary :

We’re looking for a talented AI/ML Engineer to help build an AI-driven DevOps automation platform. The ideal candidate has hands-on experience in ML, NLP, and cloud automation.

Key Responsibilities :

• Develop AI/ML models for predictive analytics, anomaly detection, and automation
• Build NLP bots, observability tools, and real-time monitoring systems
• Analyze system logs/metrics and automate workflows
• Integrate AI with DevOps pipelines, cloud-native apps, and APIs
• Research & apply deep learning, generative AI, reinforcement learning.

Requirements :

• 3+ years in AI/ML, ideally in DevOps/cloud/security environments.
• Strong in Python, TensorFlow/PyTorch, NLP, and LLMs.
• Experience with AWS/GCP/Azure, Kubernetes, MLOps, and CI/CD.
• Knowledge of cybersecurity, big data, and real-time systems.
• Bonus : AIOps, RAG, blockchain AI, federated learning.

About the Role:

We are looking for an experienced and imaginative Generative AI Architect & Engineer to lead, design, and build cutting-edge solutions using Large Language Models (LLMs) such as OpenAI’s GPT-4/5, Google Gemini, Meta’s LLaMA, and Anthropic Claude. You will spearhead the development of a corporate-wide GenAI platform that harnesses proprietary enterprise knowledge and empowers sales, operations, and other departments with instant, contextual insights, guidance, and automation.

As the GenAI leader, you will be responsible for building scalable pipelines, integrating enterprise content repositories, fine-tuning or adapting foundational models, and creating secure and intuitive access patterns for business teams. You are passionate about creating highly usable solutions that solve real-world problems, and are fluent across architecture, implementation, and MLOps best practices.

Key Responsibilities:

• Architect and implement an end-to-end GenAI solution leveraging LLMs to serve as a contextual assistant across multiple business units.
• Develop pipelines to ingest, clean, and index enterprise knowledge (documents, wikis, CRM, chat transcripts, etc.) using RAG (Retrieval-Augmented Generation) patterns and vector databases.
• Lead fine-tuning, prompt engineering, and evaluation of LLMs, adapting open-source or commercial models to enterprise needs.
• Design a secure, scalable, API-first microservice platform, including middleware and access control, integrated into corporate systems.
• Work closely with sales, operations, and customer support teams to gather use cases and translate them into impactful GenAI features.
• Drive experimentation and benchmarking to evaluate various open and closed LLMs (OpenAI, Claude, Gemini, LLaMA, Mistral, etc.) for best performance and cost-efficiency.
• Collaborate with DevOps teams to enable MLOps workflows, CI/CD pipelines, versioning, and A/B testing for AI models.
• Contribute to technical documentation, best practices, and internal knowledge sharing.

Key Qualifications:

• 4–5+ years of hands-on experience in AI/ML product development or applied research.
• Demonstrated experience working with LLMs (OpenAI, LLaMA, Claude, Gemini, Mistral, etc.) and RAG pipelines, including vector search (FAISS, Weaviate, Pinecone, Chroma, etc.).
• Strong Python skills and experience with frameworks such as LangChain, LlamaIndex, Transformers, Ray, HuggingFace, or equivalent.
• Deep understanding of NLP, model fine-tuning, embeddings, tokenization, and content ingestion pipelines.
• Exposure to enterprise content systems (e.g., SharePoint, Confluence, Salesforce, internal wikis, etc.) and integrating with them securely.
• Solid foundation in software architecture, microservices, API design, and cloud deployments (Azure, AWS, or GCP).
• Experience with security, RBAC, and compliance practices in enterprise-grade solutions.
• Ability to lead projects independently and mentor junior engineers or data scientists.

How to Apply:

Submit your resume and a short technical project summary or portfolio (GitHub, Hugging Face, blog posts)

About the Role

We are seeking an innovative Data Scientist specializing in Natural Language Processing (NLP) to join our technology team in Bangalore. The ideal candidate will harness the power of language models and document extraction techniques to transform legal information into accessible, actionable insights for our clients.

Responsibilities

• Develop and implement NLP solutions to automate legal document analysis and extraction
• Create and optimize prompt engineering strategies for large language models
• Design search functionality leveraging semantic understanding of legal documents
• Build document extraction pipelines to process unstructured legal text data
• Develop data visualizations using PowerBI and Tableau to communicate insights
• Collaborate with product and legal teams to enhance our tech-enabled services
• Continuously improve model performance and user experience.

Requirements

• Bachelor's degree in relevant field
• 1-5 years of professional experience in data science, with focus on NLP applications
• Demonstrated experience working with LLM APIs (e.g., OpenAI, Anthropic, )
• Proficiency in prompt engineering and optimization techniques
• Experience with document extraction and information retrieval systems
• Strong skills in data visualization tools, particularly PowerBI and Tableau
• Excellent programming skills in Python and familiarity with NLP libraries
• Strong understanding of legal terminology and document structures (preferred)
• Excellent communication skills in English

What We Offer

• Competitive salary and benefits package
• Opportunity to work at India's largest legal tech company
• Professional growth in the fast-evolving legal technology sector
• Collaborative work environment with industry experts
• Modern office located in Bangalore
• Flexible work arrangements

Qualified candidates are encouraged to apply with a resume highlighting relevant experience with NLP, prompt engineering, and data visualization tools.

Location: Bangalore, India