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Data / ML Engineer

Data / ML Engineer

VentrumMumbai, IN
24 days ago
Job description

Looking for : Data / ML Engineer

Job Type : Contract

Location : Remote (India)

Work Time : Remote : Time coverage up 12 AM IST

Job Description :

Required Skills & Experience :

  • Hands-on code mindset with deep understanding in technologies / skillset and an ability to understand larger picture.
  • Sound knowledge to understand Architectural Patterns, best practices and Non-Functional Requirements
  • Overall, 8-10 years of experience in heavy volume data processing, data platform, data lake, big data, data warehouse, or equivalent.
  • 5+ years of experience with strong proficiency in Python and Spark (must-have).
  • 3+ years of hands-on experience in ETL workflows using Spark and Python.
  • 4+ years of experience with large-scale data loads, feature extraction, and data processing pipelines in different modes – near real time, batch, realtime.
  • Solid understanding of data quality, data accuracy concepts and practices.
  • 2+ years of solid experience in building and deploying ML models in a production setup. Ability to quickly adapt and take care of data preprocessing, feature engineering, model engineering as needed.
  • 2+ years of experience working with Python deep learning libraries like any or more than one of these - PyTorch, Tensorflow, Keras or equivalent.
  • Prior experience working with LLMs, transformers. Must be able to work through all phases of the model development as needed.
  • Experience integrating with various data stores, including :

o SQL / NoSQL databases

o In-memory stores like Redis

o Data lakes (e.g., Delta Lake)

  • Experience with Kafka streams, producers & consumers.
  • Required : Experience with Databricks or similar data lake / data platform.
  • Required : Java and Spring Boot experience with respect to data processing - near real time, batch based.
  • Familiarity with notebook-based environments such as Jupyter Notebook.
  • Adaptability : Must be open to learning new technologies and approaches.
  • Initiative : Ability to take ownership of tasks, learn independently, and innovate.
  • With technology landscape changing rapidly, ability and willingness to learn new technologies as needed and produce results on job.
  • Preferred Skills :

  • Ability to pivot from conventional approaches and develop creative solutions.
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    Engineer • Mumbai, IN

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