Senior Data Scientist - ML, Python

Experience: Not Available to Not Available years

Location: Noida, India

Skills: Machine Learning, Model Development, Data Engineering, Feature Engineering, Python, Pandas, NumPy, SQL, Generative AI, LLM-Based Application Development, Prompt Design, Prompt Optimization, Template Creation, Embeddings, Vector Search, Retrieval-Augmented Generation, AI System Design, Deployment, MLOps, FastAPI, Flask, Model Versioning, Data Drift, Retraining Strategies, Containerization, Cloud Deployment, PyTorch, TensorFlow, REST APIs, Microservices, GCP, MLflow, Healthcare Domain Knowledge, Analytical Skills, Problem-Solving Skills

Job Summary
Key Responsibilities
Design, develop, and deploy end‑to‑end AI applications from data ingestion to production inference.
Build data pipelines for data preparation, feature engineering, and model training.
Select, train, evaluate, and optimize machine learning and deep learning models.
Develop APIs and services to expose AI models for real‑time and batch use cases.
Implement monitoring, logging, and model performance tracking in production.
Collaborate with product, data, and domain teams to translate business requirements into AI solutions.
Ensure AI solutions meet enterprise standards for security, scalability, and responsible AI usage.

Required AI Skill Areas (Core – 4 Skills)
1. Machine Learning & Model Development
Strong understanding of supervised and unsupervised learning techniques.
Experience with model training, evaluation, and tuning.
Ability to select appropriate algorithms based on use case and data characteristics.
Familiarity with evaluation metrics and model validation techniques.
2. Data Engineering & Feature Engineering
Hands‑on experience with data preprocessing, cleaning,



and exploratory data analysis.
Strong skills in feature engineering and handling real‑world data issues.
Proficiency in working with structured and semi‑structured data from multiple sources.
Experience using Python libraries such as Pandas and NumPy, along with SQL.
3. Generative AI / LLM‑Based Application Development
Experience building applications using Large Language Models (LLMs).
Strong skills in prompt design, prompt optimization, and template creation.
Working knowledge of embeddings, vector search, and Retrieval‑Augmented Generation (RAG).
Experience integrating LLM APIs into enterprise applications.
4. AI System Design, Deployment & MLOps
Ability to design scalable AI architectures for training and inference.
Experience deploying models as APIs or services (e.g., using FastAPI or Flask).
Understanding of model versioning, monitoring, data drift, and retraining strategies.
Familiarity with containerization and cloud deployment concepts.

Technical Skills
Strong proficiency in Python
Experience with ML/DL frameworks such as PyTorch or TensorFlow
Familiarity with REST APIs, microservices, and cloud platforms (GCP)
Knowledge of model lifecycle management tools (e.g., MLflow – preferred)

Domain & Soft Skills
Ability to work independently without code‑generation tools
Strong analytical and problem‑solving skills
Clear communication with technical and non‑technical stakeholders
Healthcare Domain knowledge is a solid plus

Nice to Have
Experience with responsible AI practices and explainability
Exposure to AI ethics, bias mitigation, and governance
Experience working in regulated or enterprise environments

Key Responsibilities
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Skill Requirements
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Other Requirements
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📌 Senior Data Scientist ML, Python (Noida)
🏢 HCL Technologies
📍 Noida