• 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 :- 28th Apr 2025

• Research, develop, and implement machine learning algorithms for use in software and hardware applications.

• Perform application programming activities including coding, testing, debugging, documenting, maintaining, and modifying machine learning systems. 

• Analyze and review enhancement requests and specifications. 

• Implement changes to algorithms to improve performance. 

• Troubleshoot problems to improve user experience. 

• Provide quality assurance reviews 

• Perform post-implementation validation of machine learning models and resolve any bugs found during testing 

Must have technical skills (Min 8yrs of exp required in all of the below skills) 

• AWS SageMaker implementation experience 

• MLOps pipeline development 

• CI/CD for ML workflows 

• Python programming 

• ML framework experience (TensorFlow/PyTorch) 

• Hybrid cloud architecture 

• Git version control 

• MLflow or similar experiment tracking 

• MLflow based model experiment tracking and model serving 

• Kubeflow implementation 

• Apache Airflow orchestration 

• Terraform/CloudFormation 

• DVC for data versioning 

• Feature store implementation or integration with MLOps systems 

Education/Certifications: 

• Bachelor’s in computer science, engineering, or related field 

• AWS Certified Machine Learning – Specialty 

• AWS Solutions Architect certification 

• AWS Certified DevOps Engineer – Professional 

• Additional Data Science and LLM focused certification will be a plus