Description

You will build and operationalize end-to-end machine learning model development lifecycles and reusable frameworks.

Responsibilities

• Develop and implement reusable frameworks to drive machine learning adoption, spending 70% of your time on hands-on coding.
• Build automated transformation and data analysis pipelines for visualization reports and system monitoring.
• Implement REST and Function APIs integrated with various database types.
• Migrate existing systems to new client platforms and conduct necessary migration testing.
• Collaborate with business teams to define requirements and coordinate with release managers on product enhancements.

Required Skills

• 3+ years of experience in machine learning operations or software engineering.
• Proficiency in Python and Java.
• Experience with SQL, HiveQL, and REST/Function APIs.
• Hands-on experience with Git, Docker, and Jenkins.
• Knowledge of CI/CD processes and tools like XL Release.
• Experience with SQL/NSQL databases including MongoDB, Couchbase, Postgres, or Cassandra.
• Ability to work with big data frameworks such as Hive and PySpark.
• Familiarity with public cloud platforms including AWS, GCP, or Azure.

Preferred Skills

• Container orchestration using Kubernetes, Helm, or OpenShift.
• Experience with Airflow or MLflow.

Key Skills

Education

Any Graduate