DevOps Engineer(MLOps) Engineer

Bangalore, India

Job Description

Anicca Data is looking for DevOps Engineer who is motivated to apply his/her skillset to solve complex and challenging problems. The role's focus will be dedicated to writing code to handle big data and showcasing complex data structures. This Engineer is expected to work on the existing codebases or write an optimized codebase at Anicca Data. Our ideal addition to our team is self-motivated, highly organized, and a team player who thrives in a fast-paced environment with the ability to learn quickly and work independently.

Job Location: Remote (for time being) and Bangalore, India (post COVID crisis)

Technical Requirements:

  • Hands-on experience in Cloud Deployment (AWS / Azure / GC) or ML models
  • Deep knowledge of deep learning, machine learning, statistics, probability, and natural language processing (NLP) models deployment dynamics
  • Deployments at scale.
  • Write C++ and Python code along with Tensorflow, PyTorch to build and enhance the platform that is used for training / testing CV models
  • Working knowledge of CI / CD pipeline building
  • Working experience in orchestration tools such as Kubernetes, Mesos
  • Strong working knowledge of code quality tools/frameworks
  • Good knowledge of Agile development methodologies and practices
  • Working knowledge of infrastructure monitoring tools


  • Working on cloud deployment (AWS / GC/ Azure)
  • Leverage knowledge in building CI / CD pipelines
  • Build reusable code and libraries for future use, Peer code review and optimization
  • Developing and implementing scalable code in production environment
  • Monitoring and improving front-end performance, latency
  • Software documentation, changes and developing updates - familiarity with Jira a plus
  • Collaborate with other team members, stakeholders and work in an Agile environment
  • Designs and develop applications with simplicity, reliability, manageability, scalability, extensibility, performance and reusability
  • Identifying risk and conducting mitigation action planning

Education and Experience:

  • Bachelor or Master’s degree in Science, Commerce, Business, Computers, Technology, Engineering, or related field
  • 3+ years of Software Engineering experience
  • Expertise in building analytical/data-science applications a plus

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