AI ML Engineer

Tata Consultancy Services; Boston (MA); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Discretionary Annual Incentive

Comprehensive Medical Coverage

Family Leave Support

Auto & Home Insurance Options

Commuter Benefits & Training Reimburse

Job summary

Tata Consultancy Services in Boston is seeking an AI ML Engineer to work with data scientists, software engineers, and domain experts to build secure, reliable AI systems on Azure. You will emphasize scalable backend development, CI/CD pipelines, and production-grade deployment with a strong focus on quality code and automation.

Join an Agile/Scrum DevOps culture, contribute to observability and performance, and help continuously evolve the AI platform ecosystem with robust testing and

Responsibilities

• Foundational enablement activities supporting the marketing organization
• Enable AI-led discovery using existing AI tools for data ingestion, application and load processing
• As a AI ML Engineer, you will work closely with data scientists, software engineers, and domain experts to build secure, reliable, and high-performing AI systems using modern Azure technologies and software engineering best practices.
• AI engineering, backend development, cloud integration with a strong focus on quality code, automation, scalability, and operational excellence
• work in an Agile/Scrum DevOps environment, building automated CI/CD pipelines, deploying and monitoring AI applications, integrating backend services and APIs
• Continuously improving the AI platform ecosystem
• Help optimize observability, testing, reliability, and performance of production-grade AI systems

Tools

Azure

Job description

• Foundational enablement activities supporting the marketing organization
• Enable AI-led discovery using existing AI tools for data ingestion, application and load processing
• As a AI ML Engineer, you will work closely with data scientists, software engineers, and domain experts to build secure, reliable, and high-performing AI systems using modern Azure technologies and software engineering best practices.
• AI engineering, backend development, cloud integration with a strong focus on quality code, automation, scalability, and operational excellence
• work in an Agile/Scrum DevOps environment, building automated CI/CD pipelines, deploying and monitoring AI applications, integrating backend services and APIs
• Continuously improving the AI platform ecosystem
• Help optimize observability, testing, reliability, and performance of production-grade AI systems

TCS Employee Benefits Summary

• Discretionary Annual Incentive.
• Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
• Family Support: Maternal & Parental Leaves.
• Insurance Options: Auto & Home Insurance, Identity Theft Protection.
• Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
• Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.