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.
