50+ Natural Language Processing (NLP) Jobs in India

SDE II – Backend (Voice AI Platform) | Nexa

Location: HSR Layout, Bangalore - WFO

Type: Full-time

Experience: 2+ years (preferably in early-stage startups)

Tech Stack: Python (core)

About Nexa

Nexa is a new venture by the founders of HeyCoach—Pratik Kapasi and Aditya Kamat—on a mission to build the most intuitive voice-first AI platform.

We're rethinking how humans interact with machines through natural, intelligent, and fast conversational interfaces.

We're looking for a Software Development Engineer II to join us at the ground level. This is a high-ownership, high-velocity role for builders who want to move fast and go deep.

What You’ll Do

• Design, build, and scale backend systems for our voice AI engine
• Work primarily with Python for core logic, pipelines, and model integration
• Lead projects end-to-end—from whiteboard to production deployment
• Optimize systems for performance, scale, and real-time processing
• Collaborate closely with founders, ML engineers, and designers to rapidly prototype and ship features
• Set engineering best practices, own code quality, and mentor junior engineers as the team grows
• Optionally contribute to full-stack development using Node.js and React.js

Must-Have Skills

• 2+ years of experience with Python, building scalable production systems
• Proven experience independently leading projects from design through deployment
• Strong foundation in system design, algorithms, and data structures
• Deep understanding of backend architecture—APIs, microservices, data flows
• Proven ability to debug and optimize complex systems
• High autonomy—can break down big problems, prioritize, and deliver without hand-holding
• Prior success in early-stage startup environments, especially during 0→1 phases

Nice-to-Have

• Exposure to Node.js and React.js (Preferred but not mandatory)
• Experience with NLP, speech interfaces, or audio processing
• Familiarity with cloud platforms (GCP/AWS), CI/CD, Docker, Kubernetes
• Contributions to open-source projects or technical writing
• Prior experience integrating ML models into production systems

What We Value

• Speed > Perfection: We ship early and iterate fast
• Ownership mindset: You think and act like a founder
• Technical depth: You’ve built things from scratch and understand how they work
• Product intuition: You care about solving user problems, not just writing code
• Startup muscle: You’re scrappy, resourceful, and thrive without process overhead
• Bias for action: You unblock yourself and others—fast
• Humility and curiosity: You challenge ideas, accept better ones, and never stop learning

Why Join Nexa?

• Work directly with the founders on groundbreaking voice AI products
• Be part of the core team shaping the product and technology from day one
• High-trust environment focused on impact—not hours
• Flexible work style and a fast, flat, and collaborative culture

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.

Who We Are

DAITA is a German AI start-up. We’re transforming the fashion supply chain with AI-powered agents that automate the mundane, freeing teams to focus on creativity, strategy, and growth.

After a successful research phase spanning 8 countries across 3 continents—gathering insights from Indian cotton fields to German retailers—we’ve secured pre-seed funding and key industry partnerships.

Now, we’re building our MVP to deliver speed, precision, and ease to one of the world’s biggest industries.

We’re set on hypergrowth, aiming to redefine textiles with intelligent, scalable tech—and this is your chance to join the ground floor of something huge.

What You’ll Do

As our Chief Engineer, you’ll lead the technical charge to make our vision real, starting with our MVP in a 3–5 month sprint. You’ll:

• Design and code an AI-driven/agent system (leveraging machine learning and NLP) with integrated workflow automation to streamline and automate tasks in the textile supply chain, owning it from scratch to finish.
• Develop backend systems, utilize cutting-edge tools, critically assess manpower needs beyond yourself, oversee a small support team, and drive toward our aggressive launch timeline.
• Collaborate closely with our founders to align tech with ambitious goals and client input, ensuring automated workflows deliver speed, precision, and ease to textile industry stakeholders.
• Build an MVP that scales to millions, integrating APIs and data pipelines, using major cloud platforms (AWS, Azure, Google Cloud)—keeping us nimble now and primed for explosive growth later.

What You Bring

• 2–5 years of experience at high-growth startups or leading tech firms—where you shipped real products, solved complex problems, and moved fast.
• End-to-end ownership: You've taken tech projects from zero to one—built systems from scratch, made architecture decisions, handled messy edge cases, and delivered under pressure.
• Team Leadership: 1–3 years leading engineering teams, ideally including recruitment and delivery in India.
• Technical horsepower: AI Agent Experience, strong across full-stack or backend engineering, ML/NLP integration, cloud architecture, and API/data pipeline development. Experience with workflow automation tools and platforms (e.g., Apache Airflow, UiPath, or similar) to automate processes, ideally in supply chain or textiles. You can code an MVP solo if needed.
• Resource Clarity: Bring as much technical expertise as possible to build our MVP, and if you can’t own every piece, clearly identify the specific areas where you’ll need team members to deliver on time.
• Vision Alignment: You think like a builder, taking ownership of the product and team as if it were your own, while partnering closely with the founders to execute their vision with trust and decisiveness.
• Execution DNA: You ship fast, iterate intelligently, and know when to be scrappy vs. when to be solid.
• Problem-First Thinking: You’re obsessed with solving real user problems, understanding stakeholder needs beyond just writing beautiful code.
• High-Energy Leadership: Hands-on, humble, and always ready to jump into the trenches. You lead by doing.
• Geographical Fit: India-based, ideally with previous exposure to international teams or founders.
• Values-driven: You live our culture—live in the future, move fast, one team, and character above all.

Why Join Us?

• Be the technical linchpin of a hypergrowth startup—build the MVP that launches us into the stratosphere.
• Competitive salary and equity options to negotiate—own a piece of something massive.
• On-site in our Tiruppur (Tamil Nadu) offices for 2 months with the German founders, to sync with the founders, then remote flexibility long-term.
• A full-time role demanding full availability—put in the time needed to smash deadlines and reshape the second-biggest industry on Earth with a team that moves fast and rewards hustle.

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.

Job description

Job Title: AI Engineer

 Location: Bangalore (Hybrid)

 Experience: 5+ years

 Employment Type: Full-time

Company Overview:

 Join KrtrimaIQ Cognitive Solutions, a leading AI/ML company enabling intelligent enterprises through advanced technologies like machine learning, NLP, computer vision, and automation. Be part of a dynamic team transforming data into powerful business decisions.

Key Responsibilities:

Design, develop, and deploy AI/ML models using Large Language Models (LLMs) and Multimodal LLMs.

Work on building and optimizing Retrieval-Augmented Generation (RAG) pipelines for real-world use cases.

Implement and fine-tune transformer models using Hugging Face and PyTorch.

Conduct experiments, benchmark models, and continuously improve performance and scalability.

Collaborate with data engineers and product teams to integrate AI models into production environments.

Stay updated with the latest advancements in generative AI, LLM architectures, and open-source frameworks.

Required Skills:

Strong hands-on experience with LLMs (GPT, LLaMA, Mistral, etc.) and Multimodal models (e.g., CLIP, Flamingo).

Expertise in PyTorch and Hugging Face Transformers.

Proficiency in building RAG-based solutions, integrating vector databases like FAISS, Pinecone, or Weaviate.

Solid understanding of deep learning concepts, NLP, and model evaluation techniques.

Experience in deploying and scaling AI models in production environments.

Good programming skills in Python and familiarity with APIs and ML Ops tools.

Preferred Qualifications:

Master's or Bachelor's degree in Computer Science, AI, Data Science, or related fields.

Experience with distributed computing and cloud platforms (AWS/GCP/Azure).

Contributions to open-source projects or research papers in the AI/ML domain.

Why Join Us?

Cutting-edge AI/ML projects

Flexible hybrid work culture

Competitive compensation and benefits

Opportunity to grow in a rapidly scaling AI company

#aiengineer #aijobs #RAG #Huggingface #NLP #Pytorch #machinelearning #llm #finetuning #immediatejoiner #hybridlocation #bangalorelocation

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! 🚀

Job Description :

This is an exciting opportunity for an experienced industry professional with strong expertise in artificial intelligence and machine learning to join and add value to a dedicated and friendly team. We are looking for an AIML Engineer who is passionate about developing AI-driven technology solutions. As a core member of the Development Team, the candidate will take ownership of AI/ML projects by working independently with little supervision.

The ideal candidate is a highly resourceful and skilled professional with experience in applying AI to practical and comprehensive technology solutions. You must also possess expertise in machine learning, deep learning, TensorFlow, Python, and NLP, along with a strong understanding of algorithms, functional design principles, and best practices.

You will be responsible for leading AI/ML initiatives, ensuring scalable and optimized solutions, and integrating AI capabilities into applications. Additionally, you will work on REST API development, NoSQL database design, and RDBMS optimizations.

Key Responsibilities :

- Develop and implement AI/ML models to solve real-world problems.

- Utilize machine learning, deep learning, TensorFlow, and NLP techniques.

- Lead AI-driven projects with program leadership, governance, and change enablement.

- Apply best practices in algorithm development, object-oriented and functional design principles.

- Design and optimize NoSQL and RDBMS databases for AI applications.

- Develop and integrate AI-powered REST APIs for seamless application functionality.

- Collaborate with cross-functional teams to deliver AI-driven solutions.

- Stay updated with the latest advancements in AI and ML technologies.

Required Qualifications :

- Qualification: Bachelor's or Master's degree in Computer Science or a related field.

- Minimum 2 years of experience in AI/ML application development.

- Strong expertise in machine learning, deep learning, TensorFlow, Python, and NLP.

- Experience in program leadership, governance, and change enablement.

- Knowledge of basic algorithms, object-oriented and functional design principles.

- Experience in REST API development, NoSQL database design, and RDBMS optimization.

- Excellent problem-solving skills and attention to detail.

- Strong communication and collaboration skills.

Location: Patna, Bihar

Why make a career at Plus91:

At Plus91, we believe we make a better world together. We value the diversity, creativity, and experience of our people. And it's your ideas that help us improve our products and customer experiences and create value for the world of healthcare.

We help our people become better professionals, as well as human beings. We are a hands-on company, and our team is all about getting things done. We nurture experiential learning. Bring passion and dedication to your job, and there's no telling what you can accomplish at Plus91.

We are always on the lookout for bright and innovative people to help us reach our business goals and your personal goals. If this role with us fits your career goals and you think you can fit into our hands-on and go-getting culture, do apply.

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!

Responsibilities

• Design and implement advanced solutions utilizing Large Language Models (LLMs).
• Demonstrate self-driven initiative by taking ownership and creating end-to-end solutions.
• Conduct research and stay informed about the latest developments in generative AI and LLMs.
• Develop and maintain code libraries, tools, and frameworks to support generative AI development.
• Participate in code reviews and contribute to maintaining high code quality standards.
• Engage in the entire software development lifecycle, from design and testing to deployment and maintenance.
• Collaborate closely with cross-functional teams to align messaging, contribute to roadmaps, and integrate software into different repositories for core system compatibility.
• Possess strong analytical and problem-solving skills.
• Demonstrate excellent communication skills and the ability to work effectively in a team environment.

Primary Skills

• Generative AI: Proficiency with SaaS LLMs, including Lang chain, llama index, vector databases, Prompt engineering (COT, TOT, ReAct, agents). Experience with Azure OpenAI, Google Vertex AI, AWS Bedrock for text/audio/image/video modalities.
• Familiarity with Open-source LLMs, including tools like TensorFlow/Pytorch and Huggingface. Techniques such as quantization, LLM finetuning using PEFT, RLHF, data annotation workflow, and GPU utilization.
• Cloud: Hands-on experience with cloud platforms such as Azure, AWS, and GCP. Cloud certification is preferred.
• Application Development: Proficiency in Python, Docker, FastAPI/Django/Flask, and Git.
• Natural Language Processing (NLP): Hands-on experience in use case classification, topic modeling, Q&A and chatbots, search, Document AI, summarization, and content generation.
• Computer Vision and Audio: Hands-on experience in image classification, object detection, segmentation, image generation, audio, and video analysis.

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.

• Data Scientist with 4+ yrs of experience
• Good working experience in Computer vision and ML engineering
• Strong knowledge of statistical modeling, hypothesis testing, and regression analysis
• Should be developing APIs
• Proficiency in Python, SQL
• Should have Azure knowledge
• Basic knowledge of NLP
• Analytical thinking and problem-solving abilities
• Excellent communication, Strong collaboration skills
• Should be able to work independently
• Attention to detail and commitment to high-quality results
• Adaptability to fast-paced, dynamic environments

Requirements:

• Must have 5+ years of experience
• Strong proficiency in data engineering concepts and practices.
• Extensive experience in applying data science and machine learning techniques.
• Working knowledge of extracting information from unstructured data sources, particularly PDFs.
• Hands-on experience with Large Language Models (LLMs) such as GPT and Gemini.
• Knowledge of prompt engineering and fine-tuning techniques.
• Practical experience in building Retrieval-Augmented Generation (RAG) systems.
• Experience in processing large volumes of unstructured data, preferably in the insurance, legal, or healthcare sectors.
• Proven experience in extracting valuable insights from diverse data sets.
• Familiarity with Vector Databases, Azure Cloud, LangChain, Lama Index, and OCR tools and techniques.
• Working knowledge of PDF to text extraction tools like PDFMiner, PyMuPDF, or PDFPlumber, OCR tools.
• Skilled in machine learning, deep learning, computer vision, natural language processing (NLP), and generative AI models.

Good to have:

Working knowledge of Python and libraries such as NumPy, pandas, scikit-learn, and TensorFlow/PyTorch.

Preferred Qualifications:

BE/MS/PhD in Computer Science, Data Science, Machine Learning, or related fields.

Note: We are looking for passionate candidates who can join immediately.

Role Overview:

We are looking for a skilled Data Scientist with expertise in data analytics, machine learning, and AI to join our team. The ideal candidate will have a strong command of data tools, programming, and knowledge of LLMs and Generative AI, contributing to the growth and automation of our business processes.

Key Responsibilities:

1. Data Analysis & Visualization:

• Develop and manage data pipelines, ensuring data accuracy and integrity.
• Design and implement insightful dashboards using Power BI to help stakeholders make data-driven decisions.
• Extract and analyze complex data sets using SQL to generate actionable insights

2 Machine Learning & AI Models:

• Build and deploy machine learning models to optimize key business functions like discount management, lead qualification, and process automation.
• Apply Natural Language Processing (NLP) techniques for text extraction, analysis, and classification from customer documents.
• Implement and fine-tune Generative AI models and large language models (LLMs) for various business applications, including prompt engineering for automation tasks.

3 Automation & Innovation:

• Use AI to streamline document verification, data extraction, and customer interaction processes.
• Innovate and automate manual processes, creating AI-driven solutions for internal teams and customer-facing systems.
• Stay abreast of the latest advancements in machine learning, NLP, and generative AI, applying them to real-world business challenges.

Qualifications:

• Bachelor's or Master’s degree in Computer Science, Data Science, Statistics, or related field.
• 4-7 years of experience as a Data Scientist, with proficiency in Python, SQL, Power BI, and Excel.
• Expertise in building machine learning models and utilizing NLP techniques for text processing and automation.
• Experience in working with large language models (LLMs) and generative AI to create efficient and scalable solutions.
• Strong problem-solving skills, with the ability to work independently and in teams.
• Excellent communication skills, with the ability to present complex data in a simple, actionable way to non-technical stakeholders.

If you’re excited about leveraging data and AI to solve real-world problems, we’d love to have you on our team!

Role Description

We are seeking a full-time AI Developer specializing in Generative AI and Large Language Models (LLMs) to join UpSolve Solutions in Mumbai. This client-facing, on-site role involves designing, developing, and deploying AI models, specifically focusing on GenAI and LLMs. The AI Developer will leverage expertise in machine learning, natural language processing, and data science to build cutting-edge AI solutions that drive business innovation and solve complex challenges.

Qualifications

• Expertise in Generative AI and Large Language Models (LLMs)
• Strong background in machine learning algorithms, natural language processing, and predictive modeling
• Proficiency in programming languages such as Python
• Expertise in GCP, AWS or Azure
• Experience with large-scale data processing and model training
• Excellent problem-solving, critical thinking, and analytical skills
• Ability to work with complex datasets, perform data preprocessing, and optimize AI models
• Strong communication and presentation skills, with the ability to convey technical concepts to non-technical stakeholders
• Bachelor's or Master’s degree in a relevant field (e.g., Computer Science, Artificial Intelligence, Data Science)
• Experience with video and text analytics is a plus

DA DS Trainer JD:

Key Responsibilities:

Develop and deliver comprehensive training programs on data science topics, including machine learning, artificial intelligence, big data, data mining, and predictive analytics.

Create engaging and interactive training materials, including presentations, hands-on exercises, case studies, and assessments.

Conduct classroom, online, and one-on-one training sessions for students at different skill levels.

Evaluate students' performance and progress, providing feedback and support to help them improve.

Stay up-to-date with the latest trends and best practices in data science and incorporate them into training programs.

Collaborate with other trainers and industry experts to continuously improve training content and methodologies.

Assist in the development of training schedules and manage training logistics.

Provide mentorship and career guidance to students aspiring to build a career in data science.

Qualifications:

Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field; a Master’s degree is a plus.

Proven experience as a Data Science Trainer or a similar role.

In-depth knowledge of data science concepts and hands-on experience with tools like Python, R, TensorFlow, and Hadoop.

Excellent presentation and communication skills.

Strong organizational and time-management abilities.

Ability to simplify complex concepts and deliver them in an understandable manner.

Certification in Data Science (e.g., Microsoft Certified: Azure Data Scientist Associate) is preferred.

Preferred Skills:

Experience with LMS (Learning Management Systems) and e-learning platforms.

Strong analytical and problem-solving skills.

Ability to adapt training methods to different learning styles.

Passion for continuous learning and professional development.

Benefits:

Competitive salary and performance-based incentives.

Professional development opportunities.

Flexible working hours.

Collaborative and innovative work environment.

A stealth startup, born from research at Stanford's Human-Centred AI Lab, is building an AI Chief of Staff, designed to revolutionize how we work. 

Most companies building AI agents are automating routine work. But we want to hold AI to a higher bar – an AI that “reasons” and helps humans deal with cognitive overload.

Come work at the intersection of cutting-edge NLP, generative AI and graph learning ML techniques. Help build technology that empowers, not exhausts!

Team: Stanford founder with background in data science, investing, and startups; Staff engineer at Amazon; and top-tier AI practitioners as Advisors (ex-Head of AI at Spotify, Senior Eng Director at Pinterest, AI 2030 Global Leader among others). Harvard and Stanford engineers contributed to early product development.  

Role: Founding ML Engineer, full-time

Location: India. We can sponsor visas to relocate to the US based on fit. 

Compensation: Around INR 25 lakh based on experience + equity

Required Qualifications

• Bachelor’s degree or master’s (preferred) in computer science, engineering, mathematics, or a related technical field from a top-tier institution
• 3+ years of experience building and deploying ML models in production, ideally with “0 to 1” ML work

Technical

• Expertise in NLP: Hugging Face Transformers, BERT, RoBERTa, and techniques like text classification and semantic clustering.
• Experience with LLMs (e.g., GPT-4, Gemini) for prompt engineering, fine-tuning for specific use cases, content generation, and cost-optimized ML infrastructure
• Deep Learning & Graph-Based ML: Proficiency in TensorFlow, PyTorch, XGBoost, GNNs, and dynamic graph databases like Neo4j for modelling relationships
• AI-powered chatbots, integrating LLMs for natural language interaction, feedback processing, and real-time user support
• Real-Time Data Processing & Integration: Skilled in using Apache Kafka and integrating ML models into scalable, reliable back-end systems
• Cloud Deployment: Experience deploying and managing ML services on AWS, GCP, or Azure with a focus on scalability and performance optimization

We are seeking a highly skilled and motivated Data Scientist to join our team. You will be responsible for extracting insights from complex data sets, developing predictive models, and communicating findings to drive data-informed decision-making within the organization. The ideal candidate will have a strong background in statistics, machine learning, and data visualization, as well as excellent problem-solving and communication skills.

Responsibilities:

• Data Collection and Cleaning: Gather, clean, and preprocess data from various sources, ensuring data quality and integrity.
• Exploratory Data Analysis (EDA): Conduct EDA to understand data distributions, identify patterns, and uncover insights.
• Feature Engineering: Select, transform, and create relevant features to improve model performance.
• Model Development: Develop and implement machine learning models for prediction, classification, and other analytical tasks.
• Model Evaluation and Selection: Evaluate model performance using appropriate metrics and select the best model based on business requirements.
• Model Deployment and Monitoring: Deploy models into production and monitor their performance over time.