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Ref: #60826

Senior ML Engineer

  • Practice Data

  • Technologies Business Intelligence Jobs and Data Recruitment

  • Location Bangalore, India

  • Type Contract

 Responsibilities 
  • Analyze and translate business requirements into scalable and resilient design.
  • Own parts of the application and continuously improve them in an agile environment.
  • Create high quality maintainable products and applications using best engineering practices.
  • Pair with other developers and share design philosophy and goals across the team.
  • Work in cross functional teams (DevOps, Data, UX, Testing etc.).
  • Build and manage fully automated build/test/deployment environments.
  • Ensure high availability and provide quick turnaround to production issues.
  • Contribute to the design of useful, usable, and desirable products in a team environment.
  • Adapt to new programming languages, methodologies, platforms, and frameworks to support the business needs.

Qualifications
  • Degree in computer science or a similar field.
  • Four or more years of experience in architecting, designing, developing, and implementing cloud solutions on AWS and/or Azure platforms.
  • Technologies: Python, Azure, AWS, MLFlow, Kubernetes, Terraform, AWS Sage maker, Lambda, Step Function.
  • Development experience with configuration management tools (Terraform, Ansible, CloudFormation).
  • Developing and maintaining continuous integration and continuous deployment pipelines – Jenkins Groovy scripts.
  • Developing containerized solutions and orchestration (Docker, Kubernetes, ECS, ECR)
  • Experience of server less architecture, cloud computing, cloud native application and scalability etc.
  • Understanding of core cloud concepts like Infra as code, IaaS, PaaS and SaaS.
  • Relevant certification of Azure or AWS preferred.
  • Troubleshooting and analytical skills.
  • Knowledge of AI & ML technologies, as well as ML model management context
  • Strong verbal & written communication: should be able to articulate concisely & clearly.
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