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Manager EXL / M / 1116431

Manager EXL / M / 1116431

exlfa - bengaluru, bangalore, india
30+ days ago
Job description

Job Description

Azure ML Engineer

Location : Bangalore / India - remote

EXL provides consulting and analytics support to fortune companies across multiple industry domains. For this role, you will be helping a client of our Retail, Telecom and Media practice with Generative AI initiatives.

Responsibilities :

  • Deployment, monitoring, and maintenance of data pipelines and machine learning models in a production environment.
  • Collaborate with data engineers, data scientists, and IT teams to resolve technical issues and optimize data and ML workflows.
  • Maintain detailed documentation for data and ML operations processes, configurations, and updates.
  • Project task management with team spread across onshore and offshore locations.
  • Ownership of Client communication – gathering requirements, problem structuring and delivery of output.
  • Keep up to date with new tools & tech in the market, create point of view on where they fit in the ML Operations scope and how they support the client architectures.
  • Build capabilities in junior team members.

Qualifications (Required) :

  • 3+ years of experience in developing and deploying machine learning models.
  • Bachelor’s or master’s degree in economics, mathematics, computer science / engineering, operations research or related analytics areas
  • Extensive knowledge of ML tools and other services within the  Azure ecosystem .
  • Strong software development skills in Python
  • Experience with building data pipelines in Airflow (or similar programmable tools)
  • Understanding of machine learning concepts and frameworks (e.g., TensorFlow, PyTorch)
  • Familiarity with version control systems (e.g., Git), CI / CD tools (Jenkins, Concourse, Ansible, Chef, Puppet etc.) and containerization technologies (e.g., Docker, Kubernetes)
  • Excellent problem-solving and communication skills

    • Qualifications (Preferred) :

  • Experience in Large Language Models (LLM) and prompt engineering.
  • Experience in OpenAI, Video Analytics, Audio Analytics.