Machine Learning

4 weeks ago

Bangalore Metropolitan Area, India Tiger Analytics Full time

JOB DESCRIPTION


Job Title: Lead ML Engineer (Python - ML Platform)

Locations: Chennai | Hyderabad | Bangalore (Hybrid)


Curious about the role?


  • Drive the development and adoption of Tigerʼs ML platform accelerators solutions.
  • Lead cross-functional technical teams across deep learning, machine learning, distributed systems, program management, app engineering and product teams while working on all aspects of design, development and delivery of machine learning enabled end-to-end pipelines and solutions.
  • Design and architect services and pipelines to support the full Machine learning Lifecycle right from Development to Deployment.
  • Build scalable micro services architectures that can handle high volume data requests and high concurrency.
  • Architect solutions for High Availability, Low Latency and High Throughput.
  • Improve system reliability-Troubleshoot and investigate any identified issues.
  • Build and perfect test cases to introduce highly reliable and scalable application platform.
  • Writing high-performance, reliable and maintainable code.
  • Interface with various interactive services and clients including web and mobile applications
  • Support the delivery of the platform solution by providing technical oversight and guidance to the respective Project Teams and ensure High customer satisfaction.


What do we expect?


  • 8 - 12 yearsʼ experience server-side/back-end full cycle product development in a production environment in Python.
  • 7+ Experience in , Data Science ,Statistics, Data Mining, hypothesis validation and design of Algorithms with Strong Exposure to modern ML stack (Scikit Learn, NLP, SparkML, Pytorch Etc.)
  • 5+ years of quality experience in Spark programming and Delta Architecture, distributed data processing. Exposure to Databricks or any managed Spark Runtime on Cloud (Dataproc / EMR) .
  • 5+ years of Experience managing production deployments in any major cloud platform - Azure/Google/AWS or on Databricks is required.
  • 3+ years of core experience as a Lead engineer in Machine learning enabled product platform in a Backend Role.
  • Strong understanding of MLOPS related concepts, Model deployment as Batch, Real time on modern cloud stack.
  • Excellent first principles understanding of Python programming and strong understanding of Data Structures and Algorithms.
  • Proficient with SQL, RDBMS such as Postgres, MySQL, SQL Server, Oracle and/or experience with NoSQL, DBMSs such as Mongo dB
  • Hands on Working experience with Multiple Cloud Database technologies like Redshift, Delta, Cosmos DB, SQL Server etc.
  • Understanding of Devops and Deployment processes, and strong understanding of CI/CD, Technologies, and Observability
  • Hands on experience in building scalable Data, ML Pipelines, Event driven Servies, and in design and deployment of ML Algorithms in Production

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