Manager

Location

Gurgaon | India

Job description

Azure ML Engineer

Location: Bangalore/India - remote

EXL provides consulting and analytics support to fortune 500 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.

Job tags

Salary