Data Scientist - Machine Learning

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 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 a 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 (ref:hirist.tech)

Location: in, IN

Posted Date: 11/26/2024