Data Scientist AI
1 week ago
Job Title: Senior Data Scientist AI & Generative AI Azure / AWS
Location: Bangalore, Whitefield (Hybrid mode 2 days WFO)
Experience: 5 to 12 years
Role Overview
We are seeking an experienced Data Scientist with strong expertise in AI/ML, Generative AI (GenAI), and Microsoft Azure cloud services. The role involves designing, developing, and deploying advanced AI solutions leveraging LLMs, generative models, and Azure-native services to deliver business impact at scale.
Key Responsibilities
- Design and implement AI/ML models, including LLMs and generative AI architectures (e.g., GPT, Diffusion Models).
- Build and optimize end-to-end AI pipelines on Azure using services like Azure Machine Learning, Azure OpenAI Service, Cognitive Services, Data Factory, and Synapse Analytics.
- Develop custom AI solutions for NLP, computer vision, and multimodal applications.
- Integrate GenAI capabilities into enterprise applications using APIs and frameworks.
- Ensure model governance, security, and compliance in Azure environments.
- Mentor junior team members and provide technical leadership in AI/ML projects.
- Stay updated on emerging AI/GenAI trends and Azure AI services.
Required Skills
- Programming: Python (Pandas, NumPy, Scikit-learn), PyTorch/TensorFlow.
- AI/ML Expertise: Deep learning, NLP, LLM fine-tuning, prompt engineering, generative models.
- GenAI Tools: Hugging Face, LangChain, Azure OpenAI Service.
- Azure Cloud: Azure Machine Learning, Azure OpenAI, Cognitive Services, Data Factory, Synapse, Azure Functions.
- Data Handling: SQL, NoSQL, data lakes, ETL pipelines.
- MLOps: CI/CD for ML, model deployment, monitoring.
- Strong understanding of statistics, probability, and optimization techniques.
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