Job 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 a production environment.Strong DevOps, Data Engineering and ML background with Cloud platformsExperience 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 setsExperience with MLOps tools such as MLFlow and KubeflowExperience in Python scriptingExperience with CI / CDFluency in Python data tools e.g. Pandas, Dask, or PysparkExperience working on a large scale, distributed systemsPython / Scala for data pipelinesScala / Java / Python for micro-services and APIsHDP, Oracle skills & SQL; Spark, Scala, Hive and Oozie DataOps (DevOps, CDC)Nice-to-have skills :
Jenkins, K8SGoogle Cloud certificationUnix or Shell scriptingref : hirist.tech)