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Senior Analyst at eClerx Career Site
Pune, maharashtra, India -
Full Time

Start Date

Immediate

Expiry Date

16 Jun, 26

Salary

0.0

Posted On

18 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Python, Machine Learning, Generative Ai, LLMs, Vector Databases, Embeddings, Semantic Search, FastAPI, Flask, Data Preprocessing, Feature Engineering, Pandas, NumPy, Scikit-learn

Industry

IT Services and IT Consulting

Description
Job Description: Python + Machine Learning Engineer Experience: 4–8 Years (can be adjusted) Location: Mumbai/Pune Employment Type: Full-time Role Overview We are looking for a skilled Python + Machine Learning Engineer with hands-on experience in Generative AI, LLMs, and vector databases. The ideal candidate should be strong in ML fundamentals and capable of building scalable, production-ready solutions. Key Responsibilities * Design, develop, and maintain robust applications using Python * Build and optimize Machine Learning models with a strong focus on performance and scalability * Work on Generative AI / Large Language Models (LLMs) use cases * Implement embeddings and semantic search solutions * Integrate and manage vector databases such as Elasticsearch, FAISS, or similar * Develop and maintain APIs using FastAPI or Flask * Perform data preprocessing, cleaning, and feature engineering * Collaborate with cross-functional teams to translate business requirements into technical solutions Required Skills & Qualifications * Strong experience in Python development * Hands-on experience with Machine Learning fundamentals * Experience with Generative AI / LLMs * Practical exposure to vector databases (Elasticsearch, FAISS, etc.) * Strong understanding of embeddings and semantic search * Proficiency in Pandas, NumPy, Scikit-learn * Experience building RESTful APIs using FastAPI / Flask * Solid knowledge of data preprocessing and feature engineering techniques Good to Have * Experience with cloud platforms (AWS/GCP/Azure) * Exposure to MLOps tools and model deployment * Familiarity with Docker/Kubernetes  
Responsibilities
The role involves designing, developing, and maintaining robust applications using Python, focusing on building and optimizing scalable Machine Learning models, particularly for Generative AI and LLM use cases. Key tasks include implementing embeddings, managing vector databases, and developing APIs.