Lead Engineer

1 week ago

Guindy Chennai Tamil Nadu, India Prodapt Solutions Full time ₹ 6,00,000 - ₹ 18,00,000 per year

Overview:

Prodapt is looking for Lead MLOPS Engineers having experience of 4 to 8 years from chennai or bangalore locations.

Responsibilities:

  • Write clean, high-performance, high-quality, maintainable code
  • Discovering, analyzing, structuring and mining data
  • Be a key engineer contributing to the design, development of the new ML and Gen AI based solutions, improving and maintaining the same.
  • Work with data scientists and backend engineers to implement scalable AI and ML solutions to solve complex problems.
  • Maintain and enhance the existing architectural documentations and create the new one as needed
  • Highly effective at working in cross-functional groups and getting results in matrix organizations
  • Highly analytical, innovative, and able to think strategically and to develop comprehensive detailed specifications

Requirements:

  • B.S./B.E/B.Tech/MTech in computer science with 4 to 8 years of experience or equivalent

  • Experience with Big Data Platform and data processing frameworks (Hadoop, Hive, Map Reduce, Spark, etc.) and professional skill in writing optimal production grade SQL queries.

  • Experience on deploying shallow learning and deep learning models, built using TensorFlow, PyTorch, H2O, SciKit-Learn, Keras, Spark MLlib, XGBoost, LightGBM etc. frameworks.

  • Experience with cloud technologies specially with respect to Data and ML Engineering (GCP/AWS/Azure)

  • Experience in building production grade Gen AI applications is a plus.

  • ML Design pattern, algorithm and the data structure skills

  • Worked in development environments following agile principles and methodology

  • Experience with one or more Container-ecosystem (Docker, Mesos, Kubernetes) is a plus

  • Excellent communication skill to global business and technical partners

  • Highly motivated, goal driven, can-do attitude
  • Innovative, entrepreneurial, team player, ability to multi-task
  • Flexible in learning new tools and technologies and quickly on boarding solutions using solutions using them.

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