01Overview
7 - 9 Years
- 1 Opening
- Trivandrum
Role description:
- Develop end-to-end ML pipelines encompassing the ML lifecycle, from data ingestion, data transformation, model training, model validation, model serving, and model evaluation over time.
- Collaborate closely with AI scientists to accelerate the productionization of ML algorithms.
- Set up CI/CD/CT pipelines for ML algorithms.
- Deploy models as a service both on-cloud and on-prem.
Key Qualifications:
- MS in Computer Science, Software Engineering, or a related field.
- Experience with Cloud Platforms, especially GCP and Azure, and related skills: Docker, Kubernetes, edge computing.
- Familiarity with task orchestration tools such as MLflow, Kubeflow, Airflow, Vertex AI, Azure ML, etc.
- Fluency in at least one general-purpose programming language (Python or Java preferred).
- Robust DevOps skills: Linux/Unix environment, testing, troubleshooting, automation, Git, dependency management, and build tools (GCP Cloud Build, Jenkins, Gitlab CI/CD, GitHub Actions, etc.).
- Data engineering skills a plus, such as Beam, Spark, Pandas, SQL, Kafka, GCP Dataflow, etc.
- 3+ years of experience, including academic experience, in any of the above.
Skills:
MLflow, Kubeflow, Airflow, Vertex AI, Azure ML,GCP or Azure,Docker, Kubernetes,Edge computing
About UST:
UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the worlds best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients organizations. With over 30,000 employees in 30 countries, UST builds for boundless impacttouching billions of lives in the process. .
