ML Engineer/ML Ops engineer

Full Time
Chennai, Hyderabad
Posted 3 weeks ago

Out of Box Solution

Role Description:

The ideal candidate is a hands-on technology developer with experience in developing scalable applications and platforms. They must be at ease working in an agile environment with little supervision. The person should be a self-motivated person with a passion for problem solving and continuous learning.

Designation:

Project Tech. Lead (4A): 5 – 7 Years

Project Manager/Architect (4B/5A): 7 – 10 Years

Role and responsibilities:

  • Project Management (50%)
  • Front Door (Requirements, Metadata collection, classification & security clearance)
  • Data pipeline template development
  • Data pipeline Monitoring development & support (operations)
  • Design, develop, deploy, and maintain production-grade scalable data transformation, machine learning and deep learning code, pipelines; manage data and model versioning, training, tuning, serving, experiment and evaluation tracking dashboards.
  • Manage ETL and machine learning model lifecycle: develop, deploy, monitor, maintain, and update data and models in production.
  • Build and maintain tools and infrastructure for data processing for AI/ML development initiatives.

Technical skills requirements

The candidate must demonstrate proficiency in,

  • Experience deploying machine learning models into production environment.
  • Strong DevOps, Data Engineering and ML background with Cloud platforms
  • Experience in containerization and orchestration (such as Docker, Kubernetes)
  • Experience with ML training/retraining, Model Registry, ML model performance measurement using ML Ops open source frameworks.
  • Experience building/operating systems for data extraction, ingestion and processing of large data sets
  • Experience with MLOps tools such as MLFlow and Kubeflow
  • Experience in Python scripting
  • Experience with CI/CD
  • Fluency in Python data tools e.g. Pandas, Dask, or Pyspark
  • Experience working on large scale, distributed systems
  • Python/Scala for data pipelines
  • Scala/Java/Python for micro-services and APIs
  • HDP, Oracle skills & Sql; Spark, Scala, Hive and Oozie DataOps (DevOps, CDC)

Nice-to-have skills

  • Jenkins, K8S
  • Google Cloud certification
  • Unix or Shell scripting

Job Features

Job CategoryInformation Technology

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