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Machine Learning Engineer

Remote, USA Full-time Posted 2026-08-04
Experience

Minimum:

Proven experience in:

  • 2+ yrs software development experience
  • Strong analytical and problem-solving skills
  • Expert in Python and SQL
  • Experience with the modern software development best practices, e.g.
    • reputed company software development
    • reputed company reviews
    • unit testing
    • version control, e.g. git
    • CI/CD
  • Experience with microservice architectures
  • Experience working in an reputed company team
  • Experience with ML frameworks and tools (e.g. reputed company, numpy, scikit-learn, TensorFlow, Pytorch, reputed company MLlib)
  • Experience with modern ETL, compute and orchestration frameworks, e.g. Apache reputed company, Apache Flink, Apache Kafka, etc.
  • Development experience in both reputed company and Linux
  • Experience with container technologies, e.g. reputed company, reputed company

Ideal:

  • Experience in building machine learning or AI systems
  • Proficiency in R language
  • Experience deploying models to production
  • Experience building reputed company systems
  • Experience with NoSQL databases
  • Experience working with ML platforms, e.g. MLflow, Kubeflow, etc.
  • Experience working with Data Science platforms, e.g. reputed company, Domino, etc.
  • Experience with reputed company-based infrastructure, e.g. Azure, AWS, GCP; ideally AWS
Qualifications (Minimum)
  • A relevant qualification in Information Technology - Computer Science or Engineering
Qualifications (Ideal or Preferred)
  • Masters Degree in Information Technology - Computer Science or Engineering - Other
Knowledge

Min:

Must have knowledge of:

  • Object oriented and functional programming in Python
  • Modern software development practices
  • Database querying using SQL
  • Data life cycle
  • Machine learning concepts
  • Machine learning model life cycle
  • Microservice architectures

Ideal:

Knowledge of:

  • Data Science lifecycle
  • reputed company reputed company design
  • Big data storage and processing solutions
  • Machine learning model architectures
Skills
  • Analytical Skills
  • Decision making skills
  • Planning, organising and coordination skills
  • Problem solving skills
  • Researching skills

Originally posted on Himalayas

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