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Brace Infotech Private Limited
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Secunderabad · Hybrid · 8-11 Yrs · 4 days ago
2 open roles1 posted in 7d2 in 30d
Hiring: Engineering
Job description
Hybrid
Overview
Role : Lead Data Scientist / AI-ML Lead
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.
Qualifications
- Python, AI/ML, Azure Open AI, AWS BedRock, Gen AI, Agentic AI, LLM, RAG, MLOps.
- 8+ years of experience in Data Science / Machine Learning / AI.
- Strong programming experience in Python.
- Strong knowledge of Machine Learning and Deep Learning algorithms.
- Strong 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.
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Job application FAQ
Last updated 25 October 2026
- How do I apply for Lead Data Scientist - AI/ML at Brace Infotech Private Limited?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Brace Infotech Private Limited may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Lead Data Scientist - AI/ML role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Lead Data Scientist - AI/ML remote or on-site in Secunderabad, Telangana?
- This listing is marked hybrid with location Secunderabad, Telangana. Confirm details on the job description before applying.
- What skills matter for this Lead Data Scientist - AI/ML role at Brace Infotech Private Limited?
- This is a lead Lead Data Scientist - AI/ML role. Key skills include Hybrid. Feedback AI highlights matched vs missing skills on your profile after signup.