Lead Ai/ML Engineer

Lead Ai/ML Engineer Image

Skill Set :

AI/ML Engineering

Total Experience :

10.00 to 20.00 Years

No of Openings :

1

Job Post Date :

09/03/2026

Job Expiry Date :

23/06/2026

Domain :

IT

Location :

JACKSONVILLE

[United States]

Job Reference No :

4043978 Job Summary AI/ML Engineer

Location:

Remote Look for Only

USC / GC / GC

• EAD Full-time The pay range for this role is $140K Max per annum including any bonuses or variable pay.

Tech Mahindra also offers benefits like medical, vision, dental, life, disability insurance and paid time off (including holidays, parental leave, and sick leave, as required by law). Ask our recruiters for more details on our Benefits package. The exact offer terms will depend on the skill level, educational qualifications, experience and location of the candidate.

Role Summary:

We are looking for an experienced contractor who is highly proficient in Python and has practical experience developing AI-powered systems. The preferred candidate should have worked with AI agents, Model Context Protocol (MCP), modern data management techniques, and cloud platforms to create scalable, production-ready solutions. Core Responsibilities Design, build, and maintain Python based services and automation workflows Implement MCP for agent communication, control, and observability Build, transform, and manage data pipelines supporting AI and analytics use cases Deploy, monitor, and optimize solutions in cloud environments Collaborate with product, data, and engineering teams to deliver end-to-end solutions Ensure code quality, performance, security, and maintainability Required Technical Skills

Python:

Advanced proficiency; production experience with APIs, async processing, and testing

AI / LLM

Agents:

Experience designing and implementing autonomous or semiautonomous AI agents (e.g., tool using agents, planners, orchestrators) MCP (Model Context Protocols): Experience with agent communication, coordination frameworks, or protocol driven AI architectures

Data Management:

Data modeling and data pipelines Working with SQL and NoSQL databases Experience with data quality, governance, and large-scale datasets

Cloud Experience:

Hands on work in at least one major cloud platform (Azure, AWS, or GCP) Experience with cloud storage, compute, and managed services Familiarity with CI/CD and cloud native deployment patterns Preferred / Nice to Have Experience with vector databases and embeddings Familiarity with MLOps or LLMOps practices Experience with streaming data or event driven architectures Knowledge of security and compliance considerations for AI systems Prior work in enterprise or large-scale data management Healthcare or other data regulated experience preferred Engagement Characteristics Contractor is expected to work independently with minimal supervision Comfortable operating in fast moving, evolving technical environments Strong documentation and communication skills Experience collaborating with remote and cross functional teams Technical Skills AI/LLM Agent and MCP (Model Control Protocols)

• Google ADK, Copilot Studio Cloud Experience
• Google Cloud or Azure preferred. Database Knowledge
• Big Query, Fire store, Cloud SQL, etc. Data pipeline
• Dataflow Power Automate Automation Tooling
• UI Path, etc. CI/CD Pipeline
• Azure DevOps Pipeline Infrastructure as Code (IaC)
• Terraform Tech Mahindra is an Equal Employment Opportunity employer.

We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin, or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodation also are available in the hiring process for applicants with disabilities. Candidates can request a reasonable accommodation by contacting the company ADA Coordinator at ADA_Accomodations@TechMahindra.com.