Posted:14 hours ago|
Platform:
On-site
Full Time
Azure Certified AI Engineer / Data Scientist
Experience Required: 3–5 Years
Job Location: Pune (Hybrid - once in a month)
Job type: Permanent
Key Responsibilities:
ï‚·Design and deploy AI/ML models using Azure AI/ML Studio, Azure Machine Learning, and Azure Cognitive Services.
ï‚·Implement and manage data pipelines for model training workflows, and ML lifecycle in the Azure ecosystem.
ï‚·Work with business stakeholders to gather requirements, analyze data, and deliver predictive insights.
ï‚·Collaborate with data engineers and product teams to deliver scalable and production-ready AI solutions.
ï‚·Ensure model monitoring, versioning, governance, and responsible AI practices are in place.
ï‚·Contribute to solution documentation and technical architecture.
ï‚·Design AI agents with Azure stack including but not limited to Autogen, PromptFlow, ML Studio, AI Foundry, AI Search, LangChain, LangGraph etc.
Required Skills & Qualifications:
3–5 years of hands-on experience in AI/ML, data science, or machine learning engineering.
ï‚·Mandatory Certification:
* Microsoft Azure AI Engineer Associate OR
* Microsoft Azure Data Scientist Associate
ï‚·Strong knowledge of Azure services: Azure Machine Learning, Cognitive Services, Azure Functions, AI Foundry, and Azure Storage.
ï‚·Proficient in Python, with experience using ML libraries such as scikit-learn, TensorFlow, PyTorch, or similar.
ï‚·Solid understanding of data science lifecycle, model evaluation, and performance optimization.
ï‚·Experience with version control tools like Git and deployment through CI/CD pipelines.
ï‚·Excellent problem-solving and communication skills.
ï‚·Strong experience in building AI Agents
ï‚·Experience with LLMs, prompt engineering, or GenAI tools (Azure OpenAI, Hugging Face, Vector Databases etc.).
Good to Have:
ï‚·Experience with Power BI or other data visualization tools.
ï‚·Exposure to MLOps tools and practices.
Job Types: Full-time, Permanent
Pay: Up to ₹2,400,000.00 per year
Schedule:
Experience:
Location:
Work Location: In person
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