• US Citizen

• Green Card

• EAD (OPT/CPT/GC/H4)

• H1B Work Permit

• Corp-Corp

• W2-Permanent

• W2-Contract

• Contract to Hire

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 26th Dec 2025

Design, implement, and optimize machine learning algorithms and models.– Neural networks (Graph neural network), Deep learning & transformers (Temporal Fusion Transformer ), NLP, gradient boosting using open source machine learning frameworks – tensorflow, pytorch, XGBoost, LightbGM

• Enable functionality to support analysis, model optimization, statistical testing, model versioning, deployment and monitoring of model and data.

• Ability to translate functionality into scalable, tested, and configurable platform architecture and software.

• Establish strong software engineering principles for development in Python on the Azure Kubernetes Platform.

• Strong ownership of deliverables, with design decisions aligned to scale and industry best practices.

• Collaborate with cross-functional teams to align ML initiatives with overall business goals.

• Implement scalable and efficient machine learning systems. Collaborate with software engineers to integrate ML models into production systems.

• Work closely with data engineers to ensure the availability and quality of data for training and evaluation of machine learning models.

• Develop strategies for deploying machine learning models at scale. Ensure models are integrated into production systems with high reliability and performance.

• Design and conduct experiments to evaluate the performance of machine learning models. Iterate on models based on feedback and evolving business requirements.

• Python and SQL Hands-on Coding experience