Ai Ml Engineer

Designation - Sr.Executive (AI/ML Engineer)

Location - Wadgaonsheri, Pune

Type - On site, Full Time

Require a Data Scientist with 3+ years of experience who is strong in Python, pandas, matplotlib, scikit-learn, PyTorch, transformers, MSSQL, classical ML, NLP, deep learning, Computer vision, generative AI, LLMs, and OCR text extraction. Knowledge of the health insurance domain is a plus.

Key Responsibilities :

• Build, train, and deploy classical ML models.
• Do data cleaning, preprocessing, feature engineering and EDA.
• Build ML pipelines and handle end-to-end ML project work.
• Develop deep learning models in PyTorch.
• Work with transformer models and fine-tune open-source LLMs (LLaMA, Mistral, Falcon, etc.).
• Build generative AI solutions like text generation, summarization, embeddings and RAG.
• Developing NLP pipelines for health insurance text
• Creating Computer Vision models for X-ray, CT, MRI and pathology images
• Perform OCR text extraction from PDFs/scans and clean/structure extracted text.
• Use MSSQL for querying, extracting and managing structured data and linking SQL data with ML workflows.
• Create data visualizations using matplotlib.
• Write clean Python code, follow version control and use experiment-tracking practices.
• Collaborate with product and engineering teams.
• Stay updated with ML/AI trends.

Required Skills :

• Python, pandas, matplotlib, scikit-learn, PyTorch, transformers.
• MSSQL (T-SQL, joins, stored procedures).
• OCR text extraction tools.
• Strong knowledge of classical ML, deep learning, generative AI and LLMs.
• Understanding of supervised/unsupervised learning, feature engineering, model tuning and evaluation metrics.

Experience Needed :

• 3+ years practical experience with classical ML, deep learning models, LLM fine-tuning, generative AI applications, OCR projects and SQL-heavy workflows.
• End-to-end ML project work with real datasets.
• Health insurance domain knowledge is an added benefit.

Benefits :

• Exposure in fastest growing industry
• Experience in domain
• Opportunity to work on innovative projects shaping the Indian insurance sector.
• Supportive, collaborative, and growth-oriented culture.