Job Description
ML Engineer
ML Engineer

Pune

Professional

Role - ML-Engineer

About You:

  • You implement and productionize ML-based services on our AI and Big Data platform using Python, SQL, IaC and Linux
  • You consult and enable cross-functional teams to build efficient, scalable Big Data and Data Science projects, and take over production responsibility to ensure continuous business value
  • You write clean, maintainable, and efficient code following best practices and coding standards, and perform unit testing and debugging to ensure high-quality software delivery
  • You collaborate with adjacent teams on topics such as governance, infrastructure (AWS, GCP, Azure), data provisioning, scheduling, CI/CD, and data engineering
  • You continuously improve standard processes and best practices for services and projects on our platform and help reduce operational costs
  • You stay up to date with industry trends and emerging technologies, and apply them to enhance our software and service offerings

 

Must Have:

Machine Learning & Platform

  • 2+ years of hands-on experience in a ML Engineering role
  • Experience building, improving and maintaining IT-Systems

Software Engineering

  • 5+ years of professional experience in Software Engineering
  • Strong proficiency in Python and at least one additional high-level programming language (e.g., Java or C++)
  • Solid understanding of SQL and experience working with relational databases (HANA, MS SQL, MySQL)
  • Knowledge of version control systems (e.g. Git) and agile software development methodologies

Cloud & Infrastructure

  • 2+ years of concrete working experience with Clouds such as AWS. With wide knowledge accross multiple services
  • Advanced knowledge of Linux and operating systems and the underlying fundamentals behind IT-Systems

Soft Skills

  • Strong problem-solving skills and the ability to work independently as well as part of a team
  • Good communication and presentation skills in English

 

 

 Nice to Have:

  • Certifications in Databricks or AWS
  • Familiarity with other cloud platforms such as Azure or Google Cloud Platform
  • Good knowledge in AWS Lambda, SageMaker, API-Gateway, CDK, Terraform