Data Scientist Specialist
7 hours ago
Role Overview:
We are looking for a Data Scientist Specialist to join our growing AI & Data team. The ideal candidate will have hands-on experience designing and deploying AI/ML solutions with Azure Cloud, LLMOps, Containerized environments, and Generative AI technologies. This is an onsite role based in Pune, offering you the opportunity to collaborate closely with cross-functional teams on impactful projects.
Key Responsibilities:
- Architect and implement end-to-end AI/ML solutions using Azure AI/ML services
- Lead the design and development of LLMOps pipelines for deploying and managing large language models (LLMs)
- Work with containerized deployments using Docker and orchestration tools like Kubernetes
- Integrate and fine-tune Generative AI models for various real-world applications (text, vision, conversation, etc.)
- Collaborate with data engineers, product teams, and business stakeholders to deliver scalable AI systems
- Drive model monitoring, versioning, and responsible AI practices
- Document technical architecture, decision-making, and knowledge transfer
Required Skills & Qualifications:
- 3 to 7 years of experience in Data Science / AI / ML solution development
- Strong hands-on experience with Azure AI services (ML Studio, Azure OpenAI, AI Foundry etc.)
- Experience working with LLMs, prompt engineering, and fine-tuning techniques
- Proven experience with containerized environments (Docker, Kubernetes)
- Strong programming skills in Python with relevant ML/AI libraries (TensorFlow, PyTorch, Transformers, etc.)
- Solid understanding of LLMOps/MLOps lifecycle and best practices
- Excellent communication, stakeholder management, and team collaboration skills
Must Have:
- Hands-On LangChain, Hugging Face APIs, or Azure OpenAI APIs
- Strong knowledge of Azure Cognitive Services, Machine Learning Studio, Azure AI Search, AI Foundry
- Strong Knowledge of basic hygiene principles Git, Clean Code, Unit Testing, Jira, DevOps etc.
Good to Have:
- Experience with Databricks
- Familiarity with Azure CI/CD pipelines
Prior experience working in a startup or fast-paced product environment.
Interested candidates can share their profiles on
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