Machine Learning Lead Engineer | Openings in Capgemini - Apply Now! - Updated [ November 2022 ]
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Machine Learning Lead Engineer | Openings in Capgemini – Apply Now!

Last updated on 19th May 2020, Blog, Jobs in Pune

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Ratings 464

Experience:

4 -12 Years

Qualification:

  • Bachelors or Master’s degree in Computer science or related field
  • A strong grounding in Data structures and algorithms, Database concepts
  • Good oral and written communication skills, analytical and problem-solving skills
  • Hands-on programming experience in JVM languages and Python
  • Experience in building scalable, high-performance, low latency systems
  • Foundation in basic math concepts
  • Background in big data tech, streaming applications
  • Prior experience in building and deploying ML systems
  • Familiarity with Machine learning algorithms
  • Ability to design ML systems end-to-end; this includes big-data handling, pre-processing, model generation logic, model persistence including choice of online data stores, etc., systems for consuming active feedback (online learning), web services to publish model predictions to consumers.

Responsibilities:

  • Deliver scalable, low latency, and high-performance ML solutions for different products
  • Build ML pipelines end-to-end, including stages such as data pre-processing, model generation, cross-validation, and active feedback
  • Build efficient systems for processing large amounts of data; be proficient with distributed programming frameworks such as Hadoop/Spark
  • Drive solutions and implementation leveraging different open source libraries and distributed systems
  • Work closely with Data Scientists and come up with scalable system and model architectures for enabling real-time ML/AI services
  • Liaise with architects and engineers from other product teams to build solutions and drive adoption
  • Elicit quality attributes of the system and define metrics to establish its success.

Job Location: Pune

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