{"id":1266268,"url":"https://alion.io/job/brace-infotech-lead-data-scientist-aiml","title":"Lead Data Scientist - AI/ML","company":{"id":3801238,"name":"Brace Infotech","domain":"braceinfotech.com","url":"https://alion.io/company/brace-infotech","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":3000000,"max":4500000,"currency":"INR","period":"year","gross":true,"usd_annual":47169},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon 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Search","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-09-07T06:19:40Z","employer_posted_date":null,"last_verified_at":"2026-09-07T06:19:40Z","board_verified":false,"closed_at":null,"days_open":38,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":38},"description":"Role : Lead Data Scientist / AI-ML Lead\n\nLocation : Hyderabad\n\nExperience : 8+ Years\n\nMode : Hybrid\n\nInterview : 1st Virtual, 2nd In Person.\n\nTechnical Skills Mandatory : \n\n- Python, AI/ML, Azure Open AI, AWS BedRock, Gen AI, Agentic AI, LLM, RAG, MLOps.\n\nRoles and Responsibilities : \n\n- Lead the design, development, and deployment of end-to-end data science and machine learning solutions.\n\n- Strong hands-on experience in Python and data science libraries such as Pandas, NumPy, Scikit-learn, PyTorch, and TensorFlow.\n\n- Design and implement machine learning models for classification, regression, clustering, forecasting, recommendation, and NLP use cases.\n\n- Strong understanding of statistics, probability, hypothesis testing, experimentation, feature engineering, and model evaluation.\n\n- Experience with Generative AI, Large Language Models (LLMs), Prompt Engineering, RAG, embeddings, vector databases, and AI agents.\n\n- Experience building and deploying production-grade AI/ML solutions using cloud platforms such as Azure or AWS.\n\n- Hands-on experience with Azure AI Foundry / Azure OpenAI / Amazon SageMaker or equivalent AI/ML platforms.\n\n- Experience designing data pipelines and ML pipelines for training, validation, deployment, and monitoring.\n\n- Experience with MLOps, including model versioning, experiment tracking, CI/CD, model deployment, monitoring, and model drift detection.\n\n- Strong experience working with SQL and relational databases and familiarity with data warehouses/data lakes.\n\n- Experience with REST APIs, microservices, Docker, and Kubernetes for AI/ML application deployment.\n\n- Implement AI/ML solutions with appropriate security, privacy, responsible AI, and governance controls.\n\n- Optimize models for accuracy, scalability, latency, reliability, and cost.\n\n- Lead technical discussions and mentor Data Scientists, ML Engineers, and junior team members.\n\nRequired Skills : \n\n- 8+ years of experience in Data Science / Machine Learning / AI.\n\n- Strong programming experience in Python.\n\n- Strong knowledge of Machine Learning and Deep Learning algorithms.\n\n- Strong understanding of statistics and mathematical foundations of ML.\n\n- Hands-on experience with Generative AI and LLM applications.\n\n- Experience with RAG architectures, embeddings, vector databases, and semantic search.\n\n- Experience with AI Agents / Agentic AI architectures.\n\n- Experience with Azure AI Foundry, Azure OpenAI, AWS SageMaker, or equivalent platforms.\n\n- Strong experience with ML model development, evaluation, deployment, and monitoring.\n\n- Experience with MLOps and ML lifecycle management.\n\n- Strong SQL and data manipulation skills.\n\n- Experience with Git and CI/CD.\n\n- Experience with Docker and Kubernetes is preferred.\n\n- Experience with cloud services such as Azure / AWS.\n\n- Strong understanding of AI security, responsible AI, data privacy, and AI governance.\n\n- Ability to translate business requirements into scalable AI/ML solutions.\nSkills\nData Science, Data Scientist, Machine Learning, Generative AI, Python, PyTorch, Tensorflow, LLM, NLP, SQL, VectorDB","description_format":"text","description_chars":3090,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial 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