50+ Natural Language Processing (NLP) Jobs in India

About Moative

Moative, an Applied AI company, designs and builds transformation AI solutions for traditional industries in energy, utilities, healthcare & lifesciences, and more. Through Moative Labs, we build AI micro-products and launch AI startups with partners in vertical markets that align with our theses.

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 University Alumni, Ex-Googlers, and successful entrepreneurs.

Our Team: Our team of 20+ employees consist of data scientists, AI/ML Engineers, and mathematicians from top engineering and research institutes such as IITs, CERN, IISc, UZH, Ph.Ds. Our team includes academicians, IBM Research Fellows, and former founders.

Work you’ll do

As a Data Scientist at Moative, you’ll play a crucial role in extracting valuable insights from data to drive informed decision-making. You’ll work closely with cross-functional teams to build predictive models and develop solutions to complex business problems. You will also be involved in conducting experiments, building POCs and prototypes.

Responsibilities

• Support end-to-end development and deployment of ML/ AI models - from data preparation, data analysis and feature engineering to model development, validation and deployment
• Gather, prepare and analyze data, write code to develop and validate models, and continuously monitor and update them as needed.
• Collaborate with domain experts, engineers, and stakeholders in translating business problems into data-driven solutions
• Document methodologies and results, present findings and communicate insights to non-technical audiences

Skills & Requirements

• Proficiency in Python and familiarity with basic Python libraries for data analysis and ML algorithms (such as NumPy, Pandas, ScikitLearn, NLTK). 
• Strong understanding and experience with data analysis, statistical and mathematical concepts and ML algorithms 
• Working knowledge of cloud platforms (e.g., AWS, Azure, GCP).
• Broad understanding of data structures and data engineering.
• Strong communication skills
• Strong collaboration skills, continuous learning attitude and a problem solving mind-set

Working at Moative

Moative is a young company, but we believe strongly 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 boundary less. Here are some of our guiding principles:

• Think in decades. Act in hours. As an independent company, our moat is time. While our decisions are for the long-term horizon, our execution will be fast – measured in hours and days, not weeks and months.
• Own the canvas. Throw yourself in to build, fix or improve – anything that isn’t done right, irrespective of who did it. Be selfish about improving across the organization – because once the rot sets in, we waste years in surgery and recovery.
• Use data or don’t use data. Use data where you ought to but not as a ‘cover-my-back’ political tool. Be capable of making decisions with partial or limited data. Get better at intuition and pattern-matching. Whichever way you go, be mostly right about it.
• Avoid work about work. Process creeps on purpose, unless we constantly question it. We are deliberate about committing to rituals that take time away from the actual work. We truly believe that a meeting that could be an email, should be an email and you don’t need a person with the highest title to say that loud.
• High revenue per person. We work backwards from this metric. Our default is to automate instead of hiring. We multi-skill our people to own more outcomes than hiring someone who has less to do. We don’t like squatting and hoarding that comes in the form of hiring for growth. High revenue per person comes from high quality work from everyone. We demand it.

If this role and our work is of interest to you, please apply here. We encourage you to apply even if you believe you do not meet all the requirements listed above.  

That said, you should demonstrate that you are in the 90th percentile or above. This may mean that you have studied in top-notch institutions, won competitions that are intellectually demanding, built something of your own, or rated as an outstanding performer by your current or previous employers. 

The position is based out of Chennai. Our work currently involves significant in-person collaboration and we expect you to be present in the city. We intend to move to a hybrid model in a few months time.

Job Title: Full Stack Developer

Location: India - Remote, Full-time- Overlapping US Hours

Experience: 3-5 years

About Us:

We’re a tech-powered, early-stage game publishing startup helping indie game studios craft data-driven marketing strategies at a fraction of traditional costs. Backed by a vision to redefine how game marketing is done, we're building something fresh — blending smart tech with deep industry insight.

Role Overview:

We’re hiring our first Full Stack Developer to join the founding team and own the technical build-out of our MVP. You'll shape features, enhance UX, stabilize infrastructure, and lay the foundation for scale. If you love indie gaming, early-stage energy, and end-to-end ownership — this one's for you.

What you'll do:

• Refine and document platform architecture
• Enhance UI/UX, optimize filters, tabs, and layout
• Debug & fix existing bugs, improve platform stability
• Build web scraping pipelines to process market signals
• Scale database structures and information pipelines
• Strengthen security stack and recommend best practices
• Collaborate on product planning, plug-in tools, and future features

What we are looking for:

• 3–5 years’ experience in full stack development
• Proficiency in React, Next.js, Node.js
• Strong knowledge of AWS infrastructure and deployment
• Experience in data engineering & database architecture
• Exposure to NLP libraries, Python-based AI tools, or sentiment analysis
• Comfort working independently in a fast-moving startup environment
• Passion for indie games and/or marketing strategy

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.*

Job Title: Computer Vision Research Engineer (2–4 Years Experience)

Location: Bengaluru - Hybrid/Remote

Experience: 2–4 Years

Employment Type: Full-time

Job Description

We are looking for a Computer Vision Research Engineer with 2 to 4 years of experience to join our AI team. The ideal candidate will have a strong background in self-supervised learning (SSL) techniques, vision pre-training strategies, and hands-on experience with end-to-end delivery of computer vision projects.

Key Responsibilities

• Design and implement state-of-the-art self-supervised learning algorithms for vision tasks.
• Develop and optimize pre-training pipelines for downstream CV applications.
• Work on tasks such as object detection, segmentation, OCR, pose estimation, and visual reasoning.
• Collaborate with cross-functional teams to deploy and validate models in real-world scenarios.
• Conduct experiments, benchmark performance, and contribute to research publications or internal whitepapers.

Required Skills

• Strong experience in SSL algorithms (e.g., MoCo, SimCLR, BYOL, DINO, MAE).
• Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow).
• Experience with image/video datasets and augmentations used in pre-training.
• Solid understanding of core CV tasks and metrics (e.g., mAP, IoU, Dice).
• Demonstrated success in delivering CV solutions to production or research prototypes.

Preferred Qualifications

• Contributions to open-source CV/SSL projects or research papers.
• Familiarity with vision transformer architectures (ViTs, Swin, etc.).
• Experience working with large-scale vision datasets and distributed training.

Apply with your resume, GitHub, or project portfolio.

·        3 to 5 years of full-stack development experience implementing applications using Python, React.js

·        In-depth knowledge of Python – Data Analytics, NLP and Flask API

§  Experience working in SQL Databases (MySQL/Postgres – min. 2 years)

§  Ability to use Gen AI tools for Productivity.

§  Gen AI for Natural Language processing Use cases – Using ChatGPT 4/Gemini flash or other cutting-edge tools

§  Hands-on exposure in working with messaging systems like RabbitMQ

§  Experience in the end to end and unit testing frameworks (jest/cypress)

§  Experience working in NoSQL Databases like MongoDB

·         Understanding differences between multiple delivery platforms, such as mobile vs. desktop, and optimizing output to match the specific platform.

§  Cloud architectural knowledge of Azure cloud.

§  Proficient understanding of code versioning tools, such as Git, SVN

§  Knowledge of CI/CD (Jenkins/Hudson)

§  Self-organizing & experience working in Agile/Scrum culture

Good to have.

§ Experience working in Angular, Elasticsearch and Redis

§ Understanding accessibility and security compliances

§ Understanding of UI/UX

Job Title: Data Science Intern

Location: 6th Sector HSR Layout, Bangalore - Work from Office 5.5 Days

Duration: 3 Months | Stipend: Upto ₹12,000 per month 

Post-Internship Offer (PPO): Available based on performance

🧑‍💻 About the Role

We are looking for a passionate and proactive Data Science Assistant Intern who is equally excited about mentoring learners and gaining hands-on experience with real-world data operations.

This is a 50% technical + 50% mentorship role that blends classroom support with practical data work. Ideal for those looking to build a career in EdTech and Applied Data Science.

🚀 What You'll Do

• Technical Responsibilities (50%)Create and manage dashboards using Python or BI tools like Power BI/Tableau
• Write and optimize SQL queries to extract and analyze backend data
• Support in data gathering, cleaning, and basic analysis
• Contribute to building data pipelines to assist internal decision-making and analytics
• 
  

🚀Mentorship & Support (50%)

• Assist instructors during live Data Science sessions
• Solve doubts related to Python, Machine Learning, and Statistics
• Create and review quizzes, assignments, and other content
• Provide one-on-one academic support and mentoring
• Foster a positive and interactive learning environment

✅ Requirements

• Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field
• Strong knowledge of:
• Python (Data Structures, Functions, OOP, Debugging)
• Pandas, NumPy, Matplotlib
• Machine Learning algorithms (scikit-learn)
• SQL and basic data wrangling
• APIs, Web Scraping, and Time-Series basics
• Advanced Excel: Lookup & reference (VLOOKUP, INDEX+MATCH, XLOOKUP), Logical functions (IF, AND, OR), Statistical & Aggregate Functions: (COUNTIFS, STDEV, PERCENTILE), Text cleanup (TRIM, SUBSTITUTE), Time functions (DATEDIF, NETWORKDAYS), Pivot Tables, Power Query, Conditional Formatting, Data Validation, What-If Analysis, and dynamic dashboards using charts & slicers.
• Excellent communication and interpersonal skills
• Prior mentoring, teaching, or tutoring experience is a big plus
• Passion for helping others learn and grow

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

About the CryptoXpress Partner Program

Earn lifetime income just by liking posts, posting memes, art, simple threads, engaging on Twitter, Quora, Reddit, or Instagram, referral signups, commission from transactions like flight, hotel, trade, gift card etc., 

(Apply link at the bottom)

More Details:

• Student Partner Program - https://cryptoxpress.com/student-partner-program
• Ambassador Program - https://cryptoxpressambassadors.com

CryptoXpress has built two powerful tracks to help students gain experience, earn income, and launch real careers:

🌱 Growth Partner: Bring in new users, grow the network, and earn lifetime income from your referrals' transactions like trades, investments, flight/hotel/gift card purchases.

🎯 CX Ambassador: Complete creative tasks, support the brand, and get paid by liking posts, creating simple threads, memes, art, sharing your experience, and engaging on Twitter, Quora, Reddit, or Instagram.

Participants will be rewarded with payments, internship certificates, mentorship, certified Web3 learning and career opportunities. 

About the Role

We're looking for an AI Engineer to help CryptoXpress automate the validation of user-submitted content from our Student Partner and Ambassador Programs. Your mission: build intelligent systems that can detect fake submissions, verify social media links, classify content formats, and flag anything suspicious - freeing up our moderators and improving scale.

Key Responsibilities

• Design and deploy lightweight AI models to classify memes, posts, videos, etc.
• Build logic to verify if social content was posted by the actual user (handle matching, metadata extraction)
• Create detection rules or classifiers to flag bot-like or duplicate behavior
• Integrate AI outputs into our reward & moderation flows
• Collaborate with frontend/backend engineers to ensure a seamless experience

Skills & Qualifications

• Proficiency in Python with experience in NLP, Vision, or Transformer-based models
• Experience with content classification, user verification, or social scraping
• Knowledge of tools like LangChain, Pinecone, or LLM orchestration (bonus)
• Familiar with Reddit, Twitter, Quora APIs or UGC datasets

Join us and play a key role in driving the growth of CryptoXpress in the cryptocurrency space!

Pro Tip: Tips for Application Success

• Please fill out the application below
• Explore CryptoXpress before applying, take 2 minutes to download and try the app so you understand what we're building
• Show your enthusiasm for crypto, travel, and digital innovation
• Mention any self-learning initiatives or personal crypto experiments
• Be honest about what you don't know - we value growth mindsets

How to Apply:

Interested candidates must complete the application form at 

https://forms.gle/CCaAvS6yLE92XAzU6

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.

Job Description: AI/ML Specialist

We are looking for a highly skilled and experienced AI/ML Specialist to join our dynamic team. The ideal candidate will have a robust background in developing web applications using Django and Flask, with expertise in deploying and managing applications on AWS. Proficiency in Django Rest Framework (DRF), a solid understanding of machine learning concepts, and hands-on experience with tools like PyTorch, TensorFlow, and transformer architectures are essential.

Key Responsibilities

● Develop and maintain web applications using Django and Flask frameworks.

● Design and implement RESTful APIs using Django Rest Framework (DRF).

● Deploy, manage, and optimize applications on AWS services, including EC2, S3, RDS, Lambda, and CloudFormation.

● Build and integrate APIs for AI/ML models into existing systems.

● Create scalable machine learning models using frameworks like PyTorch, TensorFlow, and scikit-learn.

● Implement transformer architectures (e.g., BERT, GPT) for NLP and other advanced AI use cases.

● Optimize machine learning models through advanced techniques such as hyperparameter tuning, pruning, and quantization.

● Deploy and manage machine learning models in production environments using tools like TensorFlow Serving, TorchServe, and AWS SageMaker.

● Ensure the scalability, performance, and reliability of applications and deployed models.

● Collaborate with cross-functional teams to analyze requirements and deliver effective technical solutions.

● Write clean, maintainable, and efficient code following best practices.

● Conduct code reviews and provide constructive feedback to peers.

● Stay up-to-date with the latest industry trends and technologies, particularly in AI/ML.

Required Skills and Qualifications

● Bachelor’s degree in Computer Science, Engineering, or a related field.

● 3+ years of professional experience as a AI/ML Specialist

● Proficient in Python with a strong understanding of its ecosystem.

● Extensive experience with Django and Flask frameworks.

● Hands-on experience with AWS services for application deployment and management.

● Strong knowledge of Django Rest Framework (DRF) for building APIs.

● Expertise in machine learning frameworks such as PyTorch, TensorFlow, and scikit-learn.

● Experience with transformer architectures for NLP and advanced AI solutions.

● Solid understanding of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB).

● Familiarity with MLOps practices for managing the machine learning lifecycle.

● Basic knowledge of front-end technologies (e.g., JavaScript, HTML, CSS) is a plus.

● Excellent problem-solving skills and the ability to work independently and as part of a team.

● Strong communication skills and the ability to articulate complex technical concepts to non-technical stakeholders.

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.

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

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.

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

Design and implement scalable and efficient data architectures to support generative AI workflows.

2 Fine tune and optimize large language models (LLM) for generative AI, conduct performance evaluation and benchmarking for LLMs and machine learning models

3 Apply prompt engineer techniques as required by the use case

4 Collaborate with research and development teams to build large language models for generative AI use cases, plan and breakdown of larger data science tasks to lower-level tasks

5 Lead junior data engineers on tasks such as design data pipelines, dataset creation, and deployment, use data visualization tools, machine learning techniques, natural language processing , feature engineering, deep learning , statistical modelling as required by the use case.

Are you passionate about the power of data and excited to leverage cutting-edge AI/ML to drive business impact? At Poshmark, we tackle complex challenges in personalization, trust & safety, marketing optimization, product experience, and more.

Why Poshmark?

As a leader in Social Commerce, Poshmark offers an unparalleled opportunity to work with extensive multi-platform social and commerce data. With over 130 million users generating billions of daily events and petabytes of rapidly growing data, you’ll be at the forefront of data science innovation. If building impactful, data-driven AI solutions for millions excites you, this is your place.

What You’ll Do

• Drive end-to-end data science initiatives, from ideation to deployment, delivering measurable business impact through projects such as feed personalization, product recommendation systems, and attribute extraction using computer vision.
• Collaborate with cross-functional teams, including ML engineers, product managers, and business stakeholders, to design and deploy high-impact models.
• Develop scalable solutions for key areas like product, marketing, operations, and community functions.
• Own the entire ML Development lifecycle: data exploration, model development, deployment, and performance optimization.
• Apply best practices for managing and maintaining machine learning models in production environments.
• Explore and experiment with emerging AI trends, technologies, and methodologies to keep Poshmark at the cutting edge.

Your Experience & Skills

• Ideal Experience: 6-9 years of building scalable data science solutions in a big data environment. Experience with personalization algorithms, recommendation systems, or user behavior modeling is a big plus.
• Machine Learning Knowledge: Hands-on experience with key ML algorithms, including CNNs, Transformers, and Vision Transformers. Familiarity with Large Language Models (LLMs) and techniques like RAG or PEFT is a bonus.
• Technical Expertise: Proficiency in Python, SQL, and Spark (Scala or PySpark), with hands-on experience in deep learning frameworks like PyTorch or TensorFlow. Familiarity with ML engineering tools like Flask, Docker, and MLOps practices.
• Mathematical Foundations: Solid grasp of linear algebra, statistics, probability, calculus, and A/B testing concepts.
• Collaboration & Communication: Strong problem-solving skills and ability to communicate complex technical ideas to diverse audiences, including executives and engineers.

We are seeking a Data Scientist with strong expertise in data analysis, machine learning, and visualization. The ideal candidate should be proficient in Python, Pandas, and Matplotlib, with experience in building and optimizing data-driven models. Some experience in Natural Language Processing (NLP) and Named Entity Recognition (NER) models would be a plus.

Analyze and process large datasets using Python and Pandas.

Develop and optimize machine learning models for predictive analytics.

Create data visualizations using Matplotlib and Seaborn to support decision-making.

Perform data cleaning, feature engineering, and statistical analysis.

Work with structured and unstructured data to extract meaningful insights.

Implement and fine-tune NER models for specific use cases (if required).

Collaborate with cross-functional teams to drive data-driven solutions.

Required Skills & Qualifications:

Strong proficiency in Python and data science libraries (Pandas, NumPy, Scikit-learn, etc.).

Experience in data analysis, statistical modeling, and machine learning.

Hands-on expertise in data visualization using Matplotlib and Seaborn.

Understanding of SQL and database querying.

Familiarity with NLP techniques and NER models is a plus.

Strong problem-solving and analytical skills.

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.

We are looking for a Senior AI/ML Engineer with expertise in Generative AI (GenAI) integrations, APIs, and Machine Learning (ML) algorithms who should have strong hands-on experience in Python and statistical and predictive modeling.

Key Responsibilities:

• Develop and integrate GenAI solutions using APIs and custom models.

• Design, implement, and optimize ML algorithms for predictive modeling and data-driven insights.

• Leverage statistical techniques to improve model accuracy and performance.

• Write clean, well-documented, and testable code while adhering to

coding standards and best practices.

Required Skills:

• 4+ years of experience in AI/ML, with a strong focus on GenAI integrations and APIs.

• Proficiency in Python, including libraries like TensorFlow, PyTorch, Scikit-learn, and Pandas.

• Strong expertise in statistical modeling and ML algorithms (Regression, Classification, Clustering, NLP, etc.).

• Hands-on experience with RESTful APIs and AI model deployment.

Job Description

Role: Data Scientist

Location: Hyderabad, India

Experience: 1-3 Years

Introduction to the company

Inncircles Technologies is a problem-solving company. With powerful data management capabilities and AI-driven algorithms, we have developed a construction management platform named Inncircles Arena, a one-stop solution for managing any construction project.

Inncircles Arena can help construction industry owners, builders, general contractors, and specialist contractors to improve construction management operations efficiency and project management. The application runs on a cloud-based platform and offers a complete range of tools to gather field data through a user-friendly interface and mobile applications.

Due to the software's modern, user-friendly design, users can access project information from any location through mobile and web applications. Collaboration tools are integrated into each feature to facilitate effective coordination and ensure all teams are on the same page.

With highly configurable features, products, solutions, and services, we aim to make digital transformation easier and more simplified for construction companies.

Why should you join our team?

● 100% growth with diverse experience working with international clients

● Exposure across media & digital channels

● Dynamic learning curve across Global Landscape

● A part of a young team, ready to experiment together

About the role:

We are looking for a Computer Vision and Machine Learning Engineer with a minimum of 2 years of hands-on experience to join our dynamic team. In this role, you will work on designing and implementing computer vision models and machine learning algorithms to solve real-world problems. You will collaborate with cross-functional teams to deliver cutting-edge solutions that enhance our products and contribute to advancements in AI technology, establish and lead our new vision department.

Key Qualifications:

Experience: 1-3 years in computer vision and ML, proficient in Python and frameworks .

Skills:

Good knowledge on generative AI and ability to build Agentic Systems.

Building and deploying scalable Models in any Cloud platforms.

Strong foundation in vision systems, image processing, and ML algorithms.

Adaptability: Startup and founding engineer mindset, able to innovate and lead in a fast-growing, collaborative environment.

Preferred Qualifications:

· Familiarity with usecases related to Construction Domain.

· Experience with Cloud Platforms: Familiarity with AWS, Google Cloud, or Azure for model deployment.

· Hands-on Experience in NLP: Knowledge of natural language processing (NLP) is a plus.

· Contributions to Open-Source Projects: Contributions to relevant open-source projects or machine learning competitions (e.g., Kaggle).

Our Philosophy:

● Team > Individual.

○ 1 + 1 = 3

● Velocity (speed+direction) is of the essence.

○ Luck doesn’t favor the bold. But the swift.

● Learn fast. Fail fast.

○ We are happy to experiment as long as we learn from each other.

● Ch (calm) aos.

○ Become the calm within the chaos.

● No ceiling. No speed limit.

○ Performance trumps age, grade, and, in some cases, experience.

● Achieve diligence

○ Cross-check and be persistent in everything you do, read, and believe

● Build owner mindset

○ Act as owner and work with urgency to make a business impact

● Lead with empathy

○ Little emotional intelligence goes a long way.

Behaviors we will track:

Behaviors will account for 40% of performance, while goals contribute to 60%

ALL FOR ONE

We get to the goal together - inspiring, sharing, and creating as a team. We solve problems for all rather than serving our immediate team, group, or function. 

● Builds strong relationships with peers and cross-functionally to enable higher performance

● Motivates and can influence others, including those over whom you have no direct authority

● Builds highly effective cross-functional team

AGILE & ACCOUNTABLE

We move swiftly with diligence taking accountability for our work. We seek to streamline and eliminate unnecessary obstacles. We act quickly, not allowing the pace to be captive of perfection. Every delay has a remarkable impact deferred for our customers.

● Raises the bar and is never satisfied with the status quo

● Seeks to simplify and achieve velocity in all tasks

● Steps up and takes leadership to own toughest challenges.

● Delivers the highest quality work in the least time

DECIDE SMART & SURE

We make tough decisions when necessary to ensure our focus on priorities and outcomes. Attuned to opportunity, we make intelligent decisions, adapting to create the best outcomes. We deal comfortably with ambiguity, uncertainty, and risk. 

● Deals comfortable with ambiguity, uncertainty & risk

● Makes high-quality decisions in less-than-perfect info

● Delivers business results while positioning us for success in the future

EXPERIMENT & SCALE

Undaunted by failure, we accept what doesn’t work, learn from it, and get on to what does. We collaborate while asking “why” to achieve more than we thought was possible. We build robust processes from the learnings of our small-scale experiments and scale when needed. 

● Learns fast, grasps the essence, and can change course quickly where indicated

● Questions relentlessly with endless curiosity

● Builds basic functionalities first, pressure testing and learning from them before scaling

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

What You will do:

● Create beautiful software experiences for our clients using design thinking, lean, and agile methodology.

● Work on software products designed from scratch using the latest cutting-edge technologies, platforms, and languages such as NodeJS, JavaScript.

● Work in a dynamic, collaborative, transparent, non-hierarchical culture.

● Work in collaborative, fast-paced,d and value-driven teams to build innovative customer experiences for our clients.

● Help to grow the next generation of developers and have a positive impact on the industry.

Basic Qualifications :

● Experience: 4+ years.

● Hands-on development experience with a broad mix of languages such as NodeJS,

● Server-side development experience, mainly in NodeJS, can be considerable

● UI development experience in AngularJS

● Passion for software engineering and following the best coding concepts .

● Good to great problem-solving and communication skills.

Nice to have Qualifications:

● Product and customer-centric mindset.

● Great OO skills, including design patterns.

● Experience with devops, continuous integration & deployment.

● Exposure to big data technologies, Machine Learning, and NLP will be a plus.

Requirement:

● Role: Fullstack Developer

● Location: Noida (Hybrid)

● Experience: 1-3 years

● Type: Full-Time

Role Description : We’re seeking a Fullstack Developer to join our fast-moving team at Velto. You’ll be responsible for building robust backend services and user-facing features using a modern tech stack. In this role, you’ll also get hands-on exposure to applied AI, contributing to the development of LLM-powered workflows, agentic systems, and custom fi ne-tuning pipelines.

Responsibilities:

● Develop and maintain backend services using Python and FastAPI

● Build interactive frontend components using React

● Work with SQL databases, design schema, and integrate data models with Python

● Integrate and build features on top of LLMs and agent frameworks (e.g., LangChain, OpenAI, HuggingFace)

● Contribute to AI fi ne-tuning pipelines, retrieval-augmented generation (RAG) setups, and contract intelligence workfl ows

● Profi ciency with unit testing libraries like jest, React testing library and pytest.

● Collaborate in agile sprints to deliver high-quality, testable, and scalable code

● Ensure end-to-end performance, security, and reliability of the stack

Required Skills:

● Proficient in Python and experienced with web frameworks like FastAPI

● Strong grasp of JavaScript and React for frontend development

● Solid understanding of SQL and relational database integration with Python

● Exposure to LLMs, vector databases, and AI-based applications (projects, internships, or coursework count)

● Familiar with Git, REST APIs, and modern software development practices

● Bachelor’s degree in Computer Science or equivalent fi eld

Nice to Have:

● Experience working with LangChain, RAG pipelines, or building agentic workfl ows

● Familiarity with containerization (Docker), basic DevOps, or cloud deployment

● Prior project or internship involving AI/ML, NLP, or SaaS products

Why Join Us?

● Work on real-world applications of AI in enterprise SaaS

● Fast-paced, early-stage startup culture with direct ownership

● Learn by doing—no layers, no red tape

● Hybrid work setup and merit-based growth

Join CD Edverse, an innovative EdTech app, as AI Specialist! Develop a deep research tool to generate comprehensive courses and enhance AI mentors. Must have strong Python, NLP, and API integration skills. Be part of transforming education! Apply now.

Responsibilities

• Model Development and Optimization: Design, build, and deploy NLP models, including transformer models (e.g., BERT, GPT, T5) and other SOTA architectures, as well as traditional machine learning algorithms (e.g., SVMs, Logistic Regression) for specific applications.

• Data Processing and Feature Engineering: Develop robust pipelines for text preprocessing, feature extraction, and data augmentation for structured and unstructured data.

• Model Fine-Tuning and Transfer Learning:

Fine-tune large language models for specific applications, leveraging transfer learning techniques, domain adaptation, and a mix of deep learning and traditional ML models.

• Performance Optimization: Optimize model performance for scalability and latency, applying techniques such as quantization, ONNX formats etc.

• Research and Innovation: Stay updated with the latest research in NLP, Deep Learning, and Generative AI, applying innovative solutions and techniques (e.g., RAG applications, Prompt engineering, Self-supervised learning).

• Stakeholder Communication: Collaborate with stakeholders to gather requirements, conduct due diligence, and communicate project updates effectively, ensuring alignment between technical solutions and business goals.

• Evaluation and Testing: Establish metrics, benchmarks, and methodologies for model evaluation, including cross-validation, and error analysis, ensuring models meet accuracy, fairness, and reliability standards. • Deployment and Monitoring: Oversee the deployment of NLP models in production, ensuring seamless integration, model monitoring, and retraining processes. 

We’re looking for a skilled Senior Machine Learning Engineer to help us transform the Insurtech space. You’ll build intelligent agents and models that read, reason, and act.

Insurance ops are broken. Underwriters drown in PDFs. Risk clearance is chaos. Emails go in circles. We’ve lived it – and we’re fixing it. Bound AI is building agentic AI workflows that go beyond chat. We orchestrate intelligent agents to handle policy operations end-to-end:

• Risk clearance.

• SOV ingestion.

• Loss run summarization.

• Policy issuance.

• Risk triage.

No hallucinations. No handwaving. Just real-world AI that executes – in production, at scale.

Join us to help shape the future of insurance through advanced technology!

We’re Looking For:

• Deep experience in GenAI, LLM fine-tuning, and multi-agent orchestration (LangChain, DSPy, or similar).
• 5+ years of proven experience in the field
• Strong ML/AI engineering background in both foundational modeling (NLP, transformers, RAG) and traditional ML.
• Solid Python engineering chops – you write production-ready code, not just notebooks.
• A startup mindset – curiosity, speed, and obsession with shipping things that matter.
• Bonus – Experience with insurance or document intelligence (SOVs, Loss Runs, ACORDs).

What You’ll Be Doing:

• Develop foundation-model-based pipelines to read and understand insurance documents.
• Develop GenAI agents that handle real-time decision-making and workflow orchestration, and modular, composable agent architectures that interact with humans, APIs, and other agents.
• Work on auto-adaptive workflows that optimize around data quality, context, and risk signals.

Job Title: AI Engineer - NLP/LLM Data Product Engineer Location: Chennai, TN- Hybrid

Duration: Full time

Job Summary:

About the Role:

We are growing our Data Science and Data Engineering team and are looking for an

experienced AI Engineer specializing in creating GenAI LLM solutions. This position involves collaborating with clients and their teams, discovering gaps for automation using AI, designing customized AI solutions, and implementing technologies to streamline data entry processes within the healthcare sector.

Responsibilities:

·        Conduct detailed consultations with clients functional teams to understand client requirements, one use case is related to handwritten medical records.

·        Analyze existing data entry workflows and propose automation opportunities.

Design:

·        Design tailored AI-driven solutions for the extraction and digitization of information from handwritten medical records.

·        Collaborate with clients to define project scopes and objectives.

Technology Selection:

·        Evaluate and recommend AI technologies, focusing on NLP, LLM and machine learning.

·        Ensure seamless integration with existing systems and workflows.

Prototyping and Testing:

·        Develop prototypes and proof-of-concept models to demonstrate the feasibility of proposed solutions.

·        Conduct rigorous testing to ensure accuracy and reliability.

Implementation and Integration:

·        Work closely with clients and IT teams to integrate AI solutions effectively.

·        Provide technical support during the implementation phase.

Training and Documentation:

·        Develop training materials for end-users and support staff.

·        Create comprehensive documentation for implemented solutions.

Continuous Improvement:

·        Monitor and optimize the performance of deployed solutions.

·        Identify opportunities for further automation and improvement.

Qualifications:

·        Advanced degree in Computer Science, Artificial Intelligence, or related field (Masters or PhD required).

·        Proven experience in developing and implementing AI solutions for data entry automation.

·        Expertise in NLP, LLM and other machine-learning techniques.

·        Strong programming skills, especially in Python.

·        Familiarity with healthcare data privacy and regulatory requirements.

Additional Qualifications( great to have):

An ideal candidate will have expertise in the most current LLM/NLP models, particularly in the extraction of data from clinical reports, lab reports, and radiology reports. The ideal candidate should have a deep understanding of EMR/EHR applications and patient-related data.

Dear Professionals!

We are HiringGENAIML Developer!

Key Skills & Qualifications

• Strong proficiency in Python, with a focus on GenAI best practices and frameworks.
• Expertise in machine learning algorithms, data modeling, and model evaluation.
• Experience with NLP techniques, computer vision, or generative AI.
• Deep knowledge of LLMs, prompt engineering, and GenAI technologies.
• Proficiency in data analysis tools like Pandas and NumPy.
• Hands-on experience with vector databases such as Weaviate or Pinecone.
• Familiarity with cloud platforms (AWS, Azure, GCP) for AI deployment.
• Strong problem-solving skills and critical-thinking abilities.
• Experience with AI model fairness, bias detection, and adversarial testing.
• Excellent communication skills to translate business needs into technical solutions.

Preferred Qualifications

• Bachelors or Masters degree in Computer Science, AI, or a related field.
• Experience with MLOps practices for model deployment and maintenance.
• Strong understanding of data pipelines, APIs, and cloud infrastructure.
• Advanced degree in Computer Science, Machine Learning, or a related field (preferred).

Job Description: Machine Learning Engineer – LLM and Agentic AI

Location: Ahmedabad

Experience: 4+ 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, machine learning, and pushing the boundaries of Agentic AI, we’d love to have you on board.

________________________________________

Key Responsibilities

• Research and Development: Research, design, and fine-tune machine learning models, with a focus on Large Language Models (LLMs) and Agentic AI systems.

• Model Optimization: Fine-tune and optimize pre-trained LLMs for domain-specific use cases, ensuring scalability and performance.

• Integration: Collaborate with software engineers and product teams to integrate AI models into customer-facing applications and platforms.

• Data Engineering: Perform data preprocessing, pipeline creation, feature engineering, and exploratory data analysis (EDA) to prepare datasets for training and evaluation.

• Production Deployment: Design and implement robust model deployment pipelines, including monitoring and managing model performance in production.

• Experimentation: Prototype innovative solutions leveraging cutting-edge techniques like reinforcement learning, few-shot learning, and generative AI.

• Technical Mentorship: Mentor junior team members on best practices in machine learning and software engineering.

________________________________________

Requirements

Core Technical Skills:

• Proficiency in Python for machine learning and data science tasks.

• Expertise in ML frameworks and libraries like PyTorch, TensorFlow, Hugging Face, Scikit-learn, or similar.

• Solid understanding of Large Language Models (LLMs) such as GPT, T5, BERT, or Bloom, including fine-tuning techniques.

• Experience working on NLP tasks such as text classification, entity recognition, summarization, or question answering.

• Knowledge of deep learning architectures, such as transformers, RNNs, and CNNs.

• Strong skills in data manipulation using tools like Pandas, NumPy, and SQL.

• Familiarity with cloud services like AWS, GCP, or Azure, and experience deploying ML models using tools like Docker, Kubernetes, or serverless functions.

Additional Skills (Good to Have):

• Exposure to Agentic AI (e.g., autonomous agents, decision-making systems) and practical implementation.

• Understanding of MLOps tools (e.g., MLflow, Kubeflow) to streamline workflows and ensure production reliability.

• Experience with generative AI models (GANs, VAEs) and reinforcement learning techniques.

• Hands-on experience in prompt engineering and few-shot/fine-tuned approaches for LLMs.

• Familiarity with vector databases like Pinecone, Weaviate, or FAISS for efficient model retrieval.

• Version control (Git) and familiarity with collaborative development practices.

General Skills:

• Strong analytical and mathematical background, including proficiency in linear algebra, statistics, and probability.

• Solid understanding of algorithms and data structures to solve complex ML problems.

• Ability to handle and process large datasets using distributed frameworks like Apache Spark or Dask (optional but useful).

________________________________________

Soft Skills:

• Excellent problem-solving and critical-thinking abilities.

• Strong communication and collaboration skills to work with cross-functional teams.

• Self-motivated, with a continuous learning mindset to keep up with emerging technologies.

Link to apply- https://tally.so/r/w8RpLk

About Us

At GreenStitch, we are on a mission to revolutionise the fashion and textile industry through cutting-edge climate-tech solutions. We are looking for a highly skilled Data Scientist-I with expertise in NLP and Deep Learning to drive innovation in our data-driven applications. This role requires a strong foundation in AI/ML, deep learning, and software engineering to develop impactful solutions aligned with our sustainability and business objectives.

The ideal candidate demonstrates up-to-date expertise in Deep Learning and NLP and applies it to the development, execution, and improvement of applications. This role involves supporting and aligning efforts to meet both customer and business needs.

You will play a key role in building strong relationships with stakeholders, identifying business challenges, and implementing AI-driven solutions. You should be adaptable to competing demands, organisational changes, and new responsibilities while upholding GreenStitch’s mission, values, and ethical standards.

What You’ll Do:

• AI-Powered Applications: Build and deploy AI-driven applications leveraging Generative AI and NLP to enhance user experience and operational efficiency.
• Model Development: Design and implement deep learning models and machine learning pipelines to solve complex business challenges.
• Cross-Functional Collaboration: Work closely with product managers, engineers, and business teams to identify AI/ML opportunities.
• Innovation & Experimentation: Stay up-to-date with the latest AI/ML advancements, rapidly prototype solutions, and iterate on ideas for continuous improvement.
• Scalability & Optimisation: Optimise AI models for performance, scalability, and real-world impact, ensuring production readiness.
• Knowledge Sharing & Thought Leadership: Contribute to publications, patents, and technical forums; represent GreenStitch in industry and academic discussions.
• Compliance & Ethics: Model compliance with company policies and ensure AI solutions align with ethical standards and sustainability goals.
• Communication: Translate complex AI/ML concepts into clear, actionable insights for business stakeholders.

What You’ll Bring:

• Education: Bachelors/Master’s degree in Data Science, Computer Science, AI, or a related field.
• Experience: 1-3 years of hands-on experience in AI/ML, NLP, and Deep Learning.
• Technical Expertise: Strong knowledge of transformer-based models (GPT, BERT, etc.), deep learning frameworks (TensorFlow, PyTorch), and cloud platforms (Azure, AWS, GCP).
• Software Development: Experience in Python, Java, or similar languages, and familiarity with MLOps tools.
• Problem-Solving: Ability to apply AI/ML techniques to real-world challenges with a data-driven approach.
• Growth Mindset: Passion for continuous learning and innovation in AI and climate-tech applications.
• Collaboration & Communication: Strong ability to work with cross-functional teams, communicate complex ideas, and drive AI adoption.

Why GreenStitch?

GreenStitch is at the forefront of climate-tech innovation, helping businesses in the fashion and textile industry reduce their environmental footprint. By joining us, you will:

• Work on high-impact AI projects that contribute to sustainability and decarbonisation.
• Be part of a dynamic and collaborative team committed to making a difference.
• Enjoy a flexible, hybrid work model that supports professional growth and work-life balance.
• Receive competitive compensation and benefits, including healthcare, parental leave, and learning opportunities.

Location: Bangalore(India)

Employment Type: Full Time, Permanent

Industry Type: Climate-Tech / Fashion-Tech

Department: Data Science & Machine Learning

Join us in shaping the future of sustainable fashion with cutting-edge AI solutions! 🚀

We are looking for a skilled AI/ML Engineer to join our team and help revolutionize the accounting and GST automation industry. If you are passionate about machine learning, data processing, and building intelligent automation solutions, this is the role for you!

📌 Job Responsibilities:

• Develop and deploy AI/ML models for data processing and automation.
• Work on OCR-based document processing and intelligent data extraction.
• Optimize machine learning algorithms for accuracy and performance.
• Collaborate with product and development teams to integrate AI solutions.
• Research and implement cutting-edge AI/ML techniques.

🛠 Skills Required:

• Strong experience in Python, TensorFlow, PyTorch, OpenCV
• Expertise in Machine Learning, Deep Learning, and NLP
• Hands-on experience with OCR tools like Tesseract, AWS Textract, or Google Vision API
• Knowledge of data preprocessing, model training, and deployment
• Familiarity with big data processing (Spark, Hadoop) is a plus

We're looking for AI/ML enthusiasts who build, not just study. If you've implemented transformers from scratch, fine-tuned LLMs, or created innovative ML solutions, we want to see your work!

Make Sure before Applying (GitHub Profile Required):

1. Your GitHub must include:

- At least one substantial ML/DL project with documented results

- Code demonstrating PyTorch/TensorFlow implementation skills

- Clear documentation and experiment tracking

- Bonus: Contributions to ML open-source projects

2. Pin your best projects that showcase:

- LLM fine-tuning and evaluation

- Data preprocessing pipelines

- Model training and optimization

- Practical applications of AI/ML

Technical Requirements:

- Solid understanding of deep learning fundamentals

- Python + PyTorch/TensorFlow expertise

- Experience with Hugging Face transformers

- Hands-on with large dataset processing

- NLP/Computer Vision project experience

Education:

- Completed/Pursuing Bachelor's in Computer Science or related field

- Strong foundation in ML theory and practice

Apply if:

1. You have done projects using GenAI, Machine Learning, Deep Learning.
2. You must have strong Python coding experience.
3. Someone who is available immediately to start with us in the office(Hyderabad).
4. Someone who has the hunger to learn something new always and aims to step up at a high pace.

We value quality implementations and thorough documentation over quantity. Show us how you think through problems and implement solutions!

Job Title : Sr. Data Scientist

Experience : 5+ Years

Location : Noida (Hybrid – 3 Days in Office)

Shift Timing : 2 PM to 11 PM

Availability : Immediate

Job Description :

We are seeking a Senior Data Scientist to develop and implement machine learning models, predictive analytics, and data-driven solutions.

The role involves data analysis, dashboard development (Looker Studio), NLP, Generative AI (LLMs, Prompt Engineering), and statistical modeling.

Strong expertise in Python (Pandas, NumPy), Cloud Data Science (AWS SageMaker, Azure OpenAI), Agile (Jira, Confluence), and stakeholder collaboration is essential.

Mandatory skills : Machine Learning, Cloud Data Science (AWS SageMaker, Azure OpenAI), Python (Pandas, NumPy), Data Visualization (Looker Studio), NLP & Generative AI (LLMs, Prompt Engineering), Statistical Modeling, Agile (Jira, Confluence), and strong stakeholder communication.

Job Title : AI Engineer / Gen AI Engineer (LLM/NLP)

Location : Remote

Duration : Long-term Contract

Openings : 2

Job Description :

We are looking for two AI Engineers with expertise in Generative AI, LLMs, and NLP. One of them must have a strong Azure background and be well-versed in Azure AI services.

Key Requirements :

• Experience in Generative AI, LLMs, and NLP
• Azure AI Expertise (For one of the roles):
• Azure AI Search
• Azure AI Document Intelligence
• Azure AI Foundry
• Development & deployment of RAG-based chatbots and AI agents using Azure AI
• Programming : Python (Intermediate to Expert Level)

Job Title : Python & Angular Developer (Contract)

Location : Remote

Duration : 3 to 6 months

Experience : 3+ Years

Job Summary :

We are looking for skilled Python & Angular Developers with NLP experience preferred to join our team on a contract basis. The ideal candidates will develop scalable applications while collaborating with cross-functional teams.

Key Responsibilities :

• Develop and optimize applications using Python and Angular.
• Work on NLP-related tasks (preferred).
• Ensure performance, security, and scalability.
• Collaborate in an Agile environment.

Requirements :

• 3+ Years of experience in Python & Angular.
• NLP experience is a plus.
• Strong problem-solving and debugging skills.
• Ability to work independently in a remote setup.

We are seeking a Senior Data Scientist with hands-on experience in Generative AI (GenAI) and Large Language Models (LLM). The ideal candidate will have expertise in building, fine-tuning, and deploying LLMs, as well as managing the lifecycle of AI models through LLMOps practices. You will play a key role in driving AI innovation, developing advanced algorithms, and optimizing model performance for various business applications.

Key Responsibilities:

• Develop, fine-tune, and deploy Large Language Models (LLM) for various business use cases.
• Implement and manage the operationalization of LLMs using LLMOps best practices.
• Collaborate with cross-functional teams to integrate AI models into production environments.
• Optimize and troubleshoot model performance to ensure high accuracy and scalability.
• Stay updated with the latest advancements in Generative AI and LLM technologies.

Required Skills and Qualifications:

• Strong hands-on experience with Generative AI, LLMs, and NLP techniques.
• Proven expertise in LLMOps, including model deployment, monitoring, and maintenance.
• Proficiency in programming languages like Python and frameworks such as TensorFlow, PyTorch, or Hugging Face.
• Solid understanding of AI/ML algorithms and model optimization.

Job Descriptions:

1. Job Requirement

We are seeking a highly skilled Senior Generative AI Developer to join our AI/ML team. This role focuses on leveraging cutting-edge Generative AI (GenAI) technologies to drive innovation and efficiency in software development and business processes. The ideal candidate will work on advanced techniques such as Retrieval-Augmented Generation (RAG), document chunking, and data embedding across multiple vector databases. They will collaborate closely with cross-functional teams to design, implement, and optimize AI-driven solutions, with exposure to cloud-native AI platforms like Amazon Bedrock and Microsoft Azure OpenAI considered a plus.

Responsibilities:

• Develop and deploy GenAI-based applications to solve complex business problems.
• Implement RAG frameworks to enhance information retrieval and response accuracy.
• Design and optimize document chunking strategies tailored to specific data types and use cases.
• Build and manage data embeddings using various vector databases for high-performance similarity searches.
• Collaborate with data engineers and scientists to integrate AI solutions seamlessly into existing pipelines.
• Explore and implement best practices for leveraging Amazon Bedrock and Azure OpenAI services.
• Stay updated on emerging trends and technologies in the GenAI and AI/ML landscape.

2. Required Technical Skillsets

Mandatory Skills:

• Proficiency in Generative AI frameworks and technologies like
• Prompt Engineering – creating specific prompts to guide LLM outputs
• Fine Tuning and Few-Shot learning – Adapting LLMs for domain-specific tasks.
• Retrieval-Augmented Generation (RAG) – Combining LLMs with external data retrieval systems
• Text-to-Text Transfer Transformation (T5) – Framework for translating tasks into text forms.
• Expertise in designing and implementing chunking strategies for diverse datasets.
• Strong knowledge of data embedding techniques and working experience with vector databases like Pinecone, Weaviate, or Milvus.
• Solid programming skills in Python, with experience in AI/ML libraries such as TensorFlow, PyTorch, or Hugging Face Transformers.
• Familiarity with cloud platforms and services for AI/ML workloads (AWS or Azure).
• Experience with API integration for AI services and building scalable applications.

Desirable Skills:

• Hands-on experience with Amazon Bedrock and/or Microsoft Azure OpenAI services.
• Knowledge of natural language processing (NLP) techniques and large language model (LLM) fine-tuning.
• Exposure to different chunking strategies, including overlap and semantic segmentation.
• Understanding of DevOps practices for deploying and managing AI models in production.
• Strong problem-solving and analytical skills with a focus on delivering value-driven solutions.

Location: Hyderabad, Hybrid, Remote

We’re looking for a Lead Machine Learning Engineer to help us transform the Insurtech space. You’ll build intelligent agents and models that read, reason, and act.

Insurance ops are broken. Underwriters drown in PDFs. Risk clearance is chaos. Emails go in circles. We’ve lived it – and we’re fixing it. Bound AI is building agentic AI workflows that go beyond chat. We orchestrate intelligent agents to handle policy operations end-to-end:

• Risk clearance.

• SOV ingestion.

• Loss run summarization.

• Policy issuance.

• Risk triage.

No hallucinations. No handwaving. Just real-world AI that executes – in production, at scale.

What We’re Looking For

•  Deep, hands-on experience in GenAI, LLM fine-tuning, and multi-agent orchestration frameworks (LangChain, DSPy, Haystack, or similar), with a track record of delivering production-ready systems.
• 6+ years of proven experience in Machine Learning and AI engineering, with a strong emphasis on leadership, architecture ownership, and scaling ML systems in real-world environments.
• A solid ML/AI engineering background spanning both foundational modeling (NLP, transformers, RAG) and traditional machine learning approaches.
• Strong Python engineering skills — you write clean, scalable, production-ready code, not just research notebooks.
• A startup mindset — curiosity, speed, resourcefulness, and a relentless focus on shipping solutions that move the needle.
• Proven ability to mentor and guide ML specialists and engineers, fostering technical growth and best practices within a fast-paced team.
• Bonus: Experience in insurance tech or document intelligence (SOVs, Loss Runs, ACORDs) is highly valued.

What You’ll Be Doing

•  Own, design, and optimize major architectural components within our AI infrastructure, ensuring scalability, reliability, and performance.
• Lead the development of GenAI agents for real-time decision-making, workflow orchestration, and modular multi-agent systems interacting with APIs, humans, and other agents.
• Design and build foundation-model-based pipelines to read, extract, and reason over complex insurance documents.
• Architect and maintain auto-adaptive, feedback-driven workflows that optimize dynamically based on data quality, operational context, and risk signals.
• Provide hands-on technical leadership across AI/ML projects, ensuring scalable, production-grade code and robust deployments.
• Mentor, coach, and grow a team of ML specialists and engineers, fostering a culture of engineering excellence, continuous learning, and innovation.
• Collaborate closely with product, engineering, and operations leaders to prioritize AI-driven solutions that directly impact our customers’ workflows.

Who We Are

• Bound AI was born inside OIP InsurTech – a 1000+ person global company that powers operations for MGAs and brokers across the U.S.
• We’re backed, battle-tested, and already deployed in the wild. This isn’t “build it and they might come.” The market is here – and we’re scaling fast.

Role Description

This is a full-time on-site role for a Data Science Trainer at Technobrilliant Learning Solutions in Pune. The Data Science Trainer will be responsible for conducting science education classes, teaching physics and mathematics concepts, creating lesson plans, and delivering high-quality education to students.

Qualifications

• Qualified Teacher with expertise in lesson planning
• Strong communication and presentation skills
• Ability to engage and motivate students
• Bachelor's or Master's degree in a relevant field (e.g., Data Science, Computer Science)
• Experience in data science or related industry is a plus

Position : Java NLP Engineer

Location : Remote/Bangalore/Pune

Experience : 2+ Years

Responsibilities :

• Design and develop NLP solutions using Java or transition to Java-based development.
• Utilize NLP libraries like Stanford NLP, SpaCy, NLTK, or OpenNLP.
• Perform tasks like POS Tagging, Lemmatization, Dependency Parsing, and Phrase Chunking.
• Implement advanced NLP techniques, including text summarization and knowledge extraction.
• Develop rule-based NLP systems and analyze textual data.
• Apply graph algorithms to tasks such as semantic analysis and knowledge representation.
• Leverage resources like WordNet or ConceptNet for language models.
• Conduct information extraction using regular expressions.

Requirements :

• 2+ Years of experience in NLP (industry or academic).
• Proficiency in Java or readiness to adopt Java-based workflows.
• Expertise in syntactic analysis and NLP frameworks.
• Experience with text datasets and building NLP pipelines.
• Knowledge of graph algorithms and lexical databases (WordNet/ConceptNet preferred).
• Strong skills in crafting regular expressions for text extraction.
• Collaborative mindset with excellent problem-solving abilities.

Data Scientist is responsible to discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver better products. Your primary focus will be in applying Machine Learning and Generative AI techniques for data mining and statistical analysis, Text analytics using NLP/LLM and building high quality prediction systems integrated with our products. The ideal candidate should have a prior background in Generative AI, NLP (Natural Language Processing), and Computer Vision techniques. Additionally, experience in working with current state of the art Large Language Models (LLMs), and Computer Vision algorithms.

Job Responsibilities:

»    Building models using best in AI/ML technology.

»    Leveraging your expertise in Generative AI, Computer Vision, Python, Machine Learning, and Data Science to develop cutting-edge solutions for our products.

»    Integrating NLP techniques, and utilizing LLM's in our products.

»    Training/fine tuning models with new/modified training dataset.

»    Selecting features, building and optimizing classifiers using machine learning techniques.

»    Conducting data analysis, curation, preprocessing, modelling, and post-processing to drive data-driven decision-making.

»    Enhancing data collection procedures to include information that is relevant for building analytic systems

»    Working understanding of cloud platforms (AWS).

»    Collaborating with cross-functional teams to design and implement advanced AI models and algorithms.

»    Involving in R&D activities to explore the latest advancements in AI technologies, frameworks, and tools.

»    Documenting project requirements, methodologies, and outcomes for stakeholders.

Technical skills

Mandatory

»    Minimum of 5 years  of experience as Machine Learning Researcher or Data Scientist.

»    Master's degree or Ph.D. (preferable) in Computer Science, Data Science, or a related field.

»    Should have knowledge and experience in working with Deep Learning projects using CNN, Transformers, Encoder and decoder architectures.

»    Working experience with LLM's (Large Language Models) and their applications (For e.g., tuning embedding models, data curation, prompt engineering, LoRA, etc.).

»    Familiarity with LLM Agents and related frameworks.

»    Good programming skills in Python and experience with relevant libraries and frameworks (e.g., PyTorch, and TensorFlow).

»    Good applied statistics skills, such as distributions, statistical testing, regression, etc.

»    Excellent understanding of machine learning and computer vision based techniques and algorithms.

»    Strong problem-solving abilities and a proactive attitude towards learning and adopting new technologies.

»    Ability to work independently, manage multiple projects simultaneously, and collaborate effectively with diverse stakeholders.

Nice to have

»    Exposure to financial research domain

»    Experience with JIRA, Confluence

»    Understanding of scrum and Agile methodologies

»    Basic understanding of NoSQL databases, such as MongoDB, Cassandra

Experience with data visualization tools, such as Grafana, GGplot, etc.