[Remote] Gen AI Developer
Note: The job is a remote job and is open to candidates in USA. Cognizant is seeking a Gen AI Developer to design and implement artificial intelligence and machine learning solutions for medical devices. The role involves collaborating with cross-functional teams to deliver scalable and compliant AI/ML solutions while ensuring adherence to regulatory standards.
Responsibilities
- Design end-to-end machine learning architectures using AWS AI/ML services and MLOps practices for scalable and secure medical device applications
- Develop reusable MLflow-based frameworks for experiment tracking, model versioning, and governance across projects
- Build automated ML pipelines using AWS CodePipeline and related services to enable CI/CD for machine learning models
- Collaborate with cross-functional teams to translate AI/ML concepts into production-ready solutions aligned with regulatory requirements
- Define standards for data ingestion, feature engineering, and model serving to meet performance, reliability, and compliance goals
- Optimize deployment of generative AI and traditional ML models on AWS, balancing cost, scalability, and compliance
- Implement monitoring strategies for model drift, data drift, and system performance using MLOps tools
- Document architectures, decisions, and operational processes to support audits and regulatory reviews
- Partner with compliance and quality teams to ensure traceability, validation, and risk management in medical device AI solutions
- Promote secure coding and data protection practices for sensitive healthcare data
- Review and enhance existing AI/ML solutions to improve scalability, reliability, and clinical safety
- Support modernization of legacy systems into AI-driven solutions for improved clinical outcomes
- Advise stakeholders on how AI and ML capabilities can enhance medical device offerings responsibly
Skills
- 9–12 years of experience in AI/ML engineering, solution architecture, or data science
- Strong hands-on experience with AWS machine learning services and cloud-native architecture design
- Proven expertise in MLOps practices, including MLflow, model lifecycle management, and governance
- Experience implementing CI/CD pipelines for ML using AWS CodePipeline or similar tools
- Deep understanding of machine learning concepts, including model development, evaluation, and feature engineering
- Hands-on experience with generative AI techniques and frameworks
- Experience working in regulated environments, preferably in medical devices or healthcare
- Strong understanding of data security, compliance, and privacy standards
- Ability to communicate effectively with both technical and non-technical stakeholders
- Experience delivering audit-ready, compliant AI/ML solutions in the medical device domain
- Familiarity with regulatory frameworks and validation processes for healthcare technologies
- Strong knowledge of responsible AI practices and risk mitigation strategies
- Experience designing highly scalable, secure cloud architectures for sensitive data
- Ability to bridge innovation with compliance in complex enterprise environments
Benefits
- Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
- Medical/Dental/Vision/Life Insurance
- Paid holidays plus Paid Time Off
- 401(k) plan and contributions
- Long-term/Short-term Disability
- Paid Parental Leave
- Employee Stock Purchase Plan
Company Overview
Company H1B Sponsorship