Python Machine learning Engineer
KeySkills
Company Name
Infosys Ltd ( Bangalore )
Job Description
Job Description:
We are seeking a skilled Azure Cloud / MLOps Developer with hands-on experience in cloud technologies and Python programming. The role involves implementing ML pipelines, operationalizing ML models, and supporting development teams to deliver scalable, automated, and high-quality solutions. Exposure to Capital Markets, Banking, Risk, or Compliance domains and overseas market experience is a plus.
Responsibilities:
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Implement ML pipelines from creation to execution using Azure services, Azure Databricks, and Azure DevOps.
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Guide the team on coding standards, debugging pipeline failures, and ensuring smooth execution.
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Engage with business and stakeholders to provide updates on development progress and issue resolution.
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Drive automation, process improvements, and technology adoption for deployed projects.
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Define and enforce standards for coding, pipelines, and documentation.
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Adhere to KPIs/SLA for pipeline execution and runtime monitoring.
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Research and implement new cloud services and enhancements.
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Collaborate with clients to gather requirements and translate them into development tasks.
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Contribute to establishing best practices in MLOps systems development.
Technical and Professional Requirements:
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Hands-on experience with MS Azure Cloud services (minimum 1?2 projects)
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Strong Python programming skills with object-oriented design
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Experience with DevOps practices (CI/CD pipelines, version control with Git, package/config management)
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Familiarity with ML system design, Azure ML best practices, Databricks, and online model deployment
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Test-driven development using Pytest frameworks
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Proficiency in data analysis tools (SQL, Python, R)
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Understanding of database concepts, reporting, and data science principles
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Experience managing client relationships and developing business cases
Certifications (Preferred):
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Azure Certifications: AZ-900, DP-100, AI-900
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Azure architecture understanding is a plus
Preferred Skills:
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Technology -> Machine Learning -> Python
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Exposure to MLOps, event-driven orchestration, online model deployment
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