AI ML Engineer

1 week ago

Bengaluru, Karnataka, India MVK Staffing Services Full time ₹ 12,00,000 - ₹ 36,00,000 per year
MANDATORY - ML Data Science, Machine Learning, Python/Java, including development of microservices using e. g. Flask, Django, etc.

Roles Responsibility:
  1. You can prioritise ML Data Science and Machine Learning product roadmaps for the respective businesses based on OKRs and priorities
  2. You have experience leading a team of backend developers and/or ML engineers, coaching best practices and architecting solutions.
  3. You have extensive development experience in Python/Java, including development of microservices using e. g. Flask, Django, etc. 
  4. You have experience in building data solutions, both batch processes and streaming applications.
  5.  You are familiar with event-driven designs, specifically you have worked with Kafka, Pulsar, etc. before.
  6. You have a high-level understanding with big-data technologies such as Spark, SparkML, Hadoop etc. Strong knowledge of Cloud (AWS or other)
  7. You have worked with feature store, ML Observability and automated MLOps systems. 
  8. You're organised, pragmatic and capable of engaging, guiding and leading cross functional teams or managing large scale enterprise products.
  9. You have technical knowledge and experience and have strong empathy for developer audience.
  10. You're a self-starter who can work comfortably in a fast-moving company where priorities can change, and processes may need to be created from scratch with minimal guidance.
  11. You have significant experience working with varied stakeholders.
  12. You have good technical knowledge in SQL, strong in Python programming. 
  13. You have high development standards, especially for code quality, code reviews, unit testing, continuous integration and deployment.
  14. You have a good understanding on how the performance optimization works in the end-to-end data pipeline including ML/DS inferencing.
  15. You have excellent leadership skills – you have managed a team of data scientists before and coached them to become better versions of themselves.

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