AIML Engineer (REMOTE)

AI/ML Engineer
Location: Remote
Full-time

The pay range for this role is $120K 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