Job Location: Hyderabad/Secunderabad
JOB DETAILS
Profile– ML Engineer/ML Ops engineer
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
- 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.
- 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 / Python scripting
- Experience with CI/CD / Fluency in Python data tools e.g. Pandas, Dask, or Pyspark
- Experience working on large scale, distributed systems
- HDP, Oracle skills & Sql; Spark, Scala, Hive and Oozie DataOps (DevOps, CDC)
Regards
Team Signity
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