This is a 3rd party contractual role. Location is Kolkata.

If you have relevant experience and comfortable with 3rd party contractual role then only apply.

– Data Scientist (Machine Learning & Generative AI)

Position Summary

We are looking for a Data Scientist / AI-ML Engineer with hands-on experience in Machine Learning, Generative AI, LLMs, RAG and Agentic AI. The role involves building and deploying production-grade AI applications using Python, LangChain/LangGraph, Vector Databases and REST APIs.

Key Responsibilities

Machine Learning Development

- Design, develop, evaluate, and deploy Machine Learning models for classification, regression, forecasting, clustering, recommendation systems, anomaly detection, and optimization problems.
- Perform exploratory data analysis (EDA), feature engineering, feature selection, and model tuning.
- Develop robust data preprocessing and feature engineering pipelines.
- Build reusable ML components and production-ready prediction services.
- Monitor model performance and implement continuous improvements and retraining strategies.
- Develop explainable and interpretable ML solutions wherever applicable.

Generative AI Development

- Design and develop Generative AI applications using Large Language Models (LLMs).
- Build Retrieval Augmented Generation (RAG) systems using Vector Databases.
- Develop intelligent AI assistants, copilots, chatbots, document intelligence, knowledge search, and workflow automation solutions.
- Implement prompt engineering strategies for reliable and accurate AI responses.
- Develop Agentic AI workflows using orchestration frameworks.
- Build document ingestion, indexing, embedding, retrieval, and semantic search pipelines.
- Optimize LLM performance, latency, token utilization, and response quality.

AI Application Development

- Develop scalable backend services for ML and GenAI applications.
- Build REST APIs for AI models and services.
- Deploy AI applications using containerized environments.
- Design modular and reusable AI application architectures.
- Integrate AI models with enterprise applications and business workflows.
- Develop logging, monitoring, exception handling, and performance optimization mechanisms.





Model Deployment & MLOps

- Package and deploy ML/AI models into production.
- Build automated inference pipelines.
- Monitor model drift, data drift, and application performance.
- Maintain model versioning and deployment pipelines.
- Troubleshoot production issues and optimize system reliability.

Data Engineering & Database Management

- Develop SQL queries and data extraction pipelines.
- Work with structured and semi-structured datasets.
- Design efficient database interactions for AI applications.
- Build data pipelines supporting AI model training and inference.

Research & Innovation

- Stay current with advancements in Machine Learning, Deep Learning, Generative AI, LLMs, Agentic AI, and AI infrastructure.
- Evaluate emerging AI frameworks, tools, and libraries.
- Recommend and prototype innovative AI solutions for business problems.

Required Technical Skills

Programming

- Python (Advanced)
- Object-Oriented Programming
- Python Packaging and Virtual Environments
- Git Version Control

Machine Learning

Strong hands-on experience with:

- Scikit-learn
- Statsmodels
- NumPy
- Pandas
- Model Evaluation Techniques
- Hyperparameter Tuning
- Feature Engineering
- Time Series Analysis
- Classification
- Regression
- Clustering
- Forecasting
- Ensemble Learning

Generative AI

Experience with

- Large Language Models (LLMs)
- Prompt Engineering
- Retrieval Augmented Generation (RAG)
- Embeddings
- Semantic Search
- Document Processing
- AI Agents
- Multi-Agent Workflows
- Context Management
- Function Calling / Tool Use
- Structured Output Generation

AI Frameworks

Hands-on experience with one or more:

- LangChain
- LangGraph(preferred)
- LlamaIndex
- Hugging Face ecosystem (preferred)

Vector Databases

Experience with one or more:

- FAISS
- Chroma
- Qdrant

Databases

- PostgreSQL
- SQL




- Database Design
- Query Optimization

API Development

Experience developing REST APIs using:

- FastAPI
- Flask

Knowledge of:
- JSON
- REST Principles
- Authentication
- API Documentation
- Async Programming (preferred)

Deployment & DevOps

Experience with

- Docker
- Containerized Deployments
- Linux Environment
- Basic CI/CD Concepts
- Environment Management
- Application Monitoring

Preferred Skills

Exposure to one or more of the following would be advantageous:

- Deep Learning frameworks such as TensorFlow or PyTorch
- Computer Vision
- Natural Language Processing
- OCR and Document AI solutions
- Cloud platforms (AWS, Azure, or Google Cloud)
- MLflow or similar model management tools
- Kubernetes( Optional)
- Message Queues
- Vector Search Optimization
- AI Security and Responsible AI practices

Educational Qualification

- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Artificial Intelligence, Mathematics, Engineering, or a related discipline.

Experience

- 2–6 years of hands-on experience in Machine Learning, Data Science, or AI application development.
- Experience developing production-grade AI solutions is preferred.
- Demonstrated experience in deploying and maintaining ML or Generative AI applications.

Desired Competencies

- Solid analytical and problem-solving skills.
- Ability to translate business requirements into AI solutions.
- Excellent debugging and troubleshooting abilities.
- Strong software engineering practices and coding standards.
- Good communication and documentation skills.
- Ability to work independently and collaboratively within cross-functional teams.
- Continuous learning mindset and passion for emerging AI technologies.

What Success Looks Like The successful candidate will be able to:

- Develop scalable Machine Learning and Generative AI solutions.
- Deliver production-ready AI applications with high reliability.
- Build reusable AI components and APIs.
- Continuously improve AI model accuracy and application performance.
- Contribute to the organization's AI innovation initiatives while maintaining high engineering standards.

📌 Data Scientist || 3rd Party Contract (Kolkata)
🏢 mjunction services
📍 Kolkata