Hiring GEN AI Engineering Manager_Pune

V Soft Consulting; Pune District; Hybrid; INR 2,800,000 - 4,200,000; Full time

Job summary

V Soft Consulting in Pune is seeking an experienced GenAI Engineering Manager to lead the design, development, and deployment of enterprise AI solutions. The ideal candidate will have strong expertise in MLOps, AI/ML lifecycle management, Databricks, and Python, with experience building scalable Generative AI platforms.

Key responsibilities include leading GenAI/ML solution deployment, designing MLOps pipelines, driving DataOps and AIOps best practices, and collaborating with data scientists, ML

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.

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.

Skills

GenAI

AI/ML

MLOps

DataOps

AIOps

Databricks

Python

Data Annotation

Tools

Databricks

Job description

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.