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AI / ML Manager

AI / ML Manager

ConfidentialMumbai, India
4 days ago
Job description

Years of Experience : 10-13 Years old

Location : Navi Mumbai (Locals or relocation candidate)

Notice Period : Immediate joiner preferred or 30 days Max

Budget : 60 LPA

Job Description :

We are looking for an experienced AI / ML Lead to spearhead the design, development, and deployment of intelligent solutions across cloud environments. The ideal candidate will have a strong background in deep learning, big data processing, and AI integrations, with proven experience in applying OCR and prompt engineering in real-world enterprise use cases. This role requires both technical depth and team leadership to deliver scalable, production-grade models and collaborate across business functions.

Key Responsibilities :

  • Lead AI / ML solution design and delivery across cloud platforms (Azure ML, AWS SageMaker).
  • Build, train, and deploy advanced models using Deep Learning Frameworks like TensorFlow and PyTorch.
  • Apply OCR techniques (with CNNs) for document image understanding and automation.
  • Drive prompt engineering for AI integrations (e.g., Copilot, OpenAI, IBM Watson).
  • Optimize model pipelines for performance and scalability within Azure Synapse and cloud-based data warehouses.
  • Collaborate across departments to apply AI in business intelligence and enterprise data architecture use cases.
  • Manage and mentor a team of junior AI engineers and analysts.
  • Work on structured and unstructured data pipelines using tools like Databricks, Spark, and Dask.
  • Utilize and integrate Amazon EC2, ECR, S3, Redshift and manage model training and deployment in cloud environments.

Must-Have Skills :

  • Azure ML, AWS (SageMaker, CodeGuru, EC2, ECR, S3)
  • OCR with CNN
  • Deep Learning : TensorFlow, PyTorch
  • Prompt Engineering with OpenAI / Copilot
  • Big Data : Databricks, Spark, Dask
  • Business Intelligence & AI Integrations
  • Team Leadership & Client Communication
  • Skills Required

    S3, Big Data, Deep Learning, Tensorflow, Azure ML, Ec2, Pytorch, ECR, Spark, Databricks, Business Intelligence

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