Role : Lead Data Scientist / AI-ML Lead

Location : Hyderabad

Experience : 8+ Years

Mode : Hybrid

Interview : 1st Virtual, 2nd In Person.

Technical Skills Mandatory :

- Python, AI/ML, Azure Open AI, AWS BedRock, Gen AI, Agentic AI, LLM, RAG, MLOps.

Roles and Responsibilities :

- Lead the design, development, and deployment of end-to-end data science and machine learning solutions.
- Strong hands-on experience in Python and data science libraries such as Pandas, NumPy, Scikit-learn, PyTorch, and TensorFlow.
- Design and implement machine learning models for classification, regression, clustering, forecasting, recommendation, and NLP use cases.
- Strong understanding of statistics, probability, hypothesis testing, experimentation, feature engineering, and model evaluation.
- Experience with Generative AI, Large Language Models (LLMs), Prompt Engineering, RAG, embeddings, vector databases, and AI agents.
- Experience building and deploying production-grade AI/ML solutions using cloud platforms such as Azure or AWS.
- Hands-on experience with Azure AI Foundry / Azure OpenAI / Amazon SageMaker or equivalent AI/ML platforms.
- Experience designing data pipelines and ML pipelines for training, validation, deployment, and monitoring.
- Experience with MLOps, including model versioning, experiment tracking, CI/CD, model deployment, monitoring, and model drift detection.
- Strong experience working with SQL and relational databases and familiarity with data warehouses/data lakes.




- Experience with REST APIs, microservices, Docker, and Kubernetes for AI/ML application deployment.
- Implement AI/ML solutions with appropriate security, privacy, responsible AI, and governance controls.
- Optimize models for accuracy, scalability, latency, reliability, and cost.
- Lead technical discussions and mentor Data Scientists, ML Engineers, and junior team members.

Required Skills :

- 8+ years of experience in Data Science / Machine Learning / AI.
- Strong programming experience in Python.
- Strong knowledge of Machine Learning and Deep Learning algorithms.
- Solid understanding of statistics and mathematical foundations of ML.
- Hands-on experience with Generative AI and LLM applications.
- Experience with RAG architectures, embeddings, vector databases, and semantic search.
- Experience with AI Agents / Agentic AI architectures.
- Experience with Azure AI Foundry, Azure OpenAI, AWS SageMaker, or equivalent platforms.
- Strong experience with ML model development, evaluation, deployment, and monitoring.
- Experience with MLOps and ML lifecycle management.
- Strong SQL and data manipulation skills.
- Experience with Git and CI/CD.
- Experience with Docker and Kubernetes is preferred.
- Experience with cloud services such as Azure / AWS.
- Strong understanding of AI security, responsible AI, data privacy, and AI governance.
- Ability to translate business requirements into scalable AI/ML solutions.

📌 Lead Data Scientist - AI/ML (India)
🏢 Brace infotech
📍 India