Hiring GEN AI Engineering Manager_Pune

Hiring GenAI Engineering Manager

Experience: 12+ Years

Location:-Pune

Notice Period:- Immediate to 30 Days

Required Skills:

• GenAI / AI/ML
• MLOps (Preferred)
• DataOps
• AIOps
• Databricks
• Python
• Data Annotation / Annotation Tools

Job Description:

We are seeking an experienced GenAI Engineering Manager to lead the design, development, and deployment of enterprise AI solutions. The ideal candidate should have strong expertise in MLOps, AI/ML lifecycle management, Databricks, and Python, along with experience building scalable Generative AI platforms.

Key Responsibilities:

• Lead the development and deployment of Generative AI and Machine Learning solutions.
• Design and implement MLOps pipelines for model training, deployment, monitoring, and governance.
• Drive DataOps and AIOps best practices to improve operational efficiency.
• Build and optimize AI workflows using Databricks.
• Develop AI/ML applications using Python.
• Manage data annotation strategies and collaborate with annotation teams to improve model quality.
• Work closely with data scientists, ML engineers, and business stakeholders to deliver AI initiatives.
• Establish AI governance, model monitoring, and performance optimization frameworks.

Required Qualifications:

• 10+ years of experience in AI/ML, Data Engineering, or related fields.
• Strong experience with MLOps tools and practices (MLflow, Azure ML, SageMaker, Kubeflow, etc.).
• Hands-on experience with Databricks.
• Strong programming skills in Python.
• Experience with DataOps and AIOps frameworks.
• Knowledge of Generative AI, LLMs, RAG, Prompt Engineering, and AI model deployment.
• Experience with data annotation platforms and dataset management.
• Excellent leadership and stakeholder management skills.

Interested candidates Please share your resume to [email removed]