Analyst - ML Engineer (Power)

Hi

TIAA is hiring for the position of Analyst - ML Engineer (Power )

• Experience - 2 to 4 years
• Location - Pune (Kharadi)

Please find below the JD:

Role and Responsibilities :

• Share and expand the MDLC and Best Practices
• Interpret AI Policy and Framework into MLOPs Architecture and guide implementation
• Design ML data pipelines and engineering infrastructure to support enterprise machine learning systems at scale
• Develop and deploy scalable tools and services to handle machine learning training and inference
• Identify and evaluate new technologies to improve performance, maintainability, and reliability of the machine learning systems
• Support model development, with an emphasis on auditability, versioning, and data security
• Facilitate the development and deployment of proof-of-concept machine learning systems
• Design and Develop machine learning systems
• Research and implement appropriate ML algorithms and tools for business use cases.
• Develop machine learning applications according to requirements.
• Select appropriate datasets and data representation methods.
• Run machine learning tests and experiments.
• Perform statistical analysis and fine-tuning using test results.
• Train and retrain systems when necessary.
• Extend existing ML libraries and frameworks.
• Keep abreast of developments in the field.

Required skills:

• 2-4+ Years of relent experience in the field.
• Experience building end-to-end systems as a Platform Engineer, ML DevOps Engineer.
• Functional knowledge of the interplay between Model Governance, Change and Release Management
• Strong software engineering skills in RDMS, Sql, Pyspark etc.
• Good in Data Structures and Algorithms.
• Fluency in Python and Good with Linux scripting
• Experience working with cloud computing and database systems.
• Experience building custom integrations between cloud-based systems using APIs, real time data pipeline
• Apply Platform engineering rigor and best practices to machine learning, including CI/CD, automation, etc.
• Knowledge of Linux OS and Scripting.
• Knowledge of Kubernetes / Open Shift and Containerization .
• Knowledge of Automation and Automation mindset.
• Should have managed Platform related activities in the past Experience.
• Experience developing and maintaining ML systems built with open source tools
• Familiarity with one or more data-oriented workflow orchestration frameworks (KubeFlow, Airflow, Argo, etc.)
• Ability to translate business needs to technical requirements
• Strong understanding of software testing, benchmarking, and continuous integration
• Exposure to machine learning methodology and best practices

Interested candidates please share your resume on triveni.gane@in.tiaa.org