AI/ML Engineer
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, the 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 – BigQuery, Firestore, Cloud SQL, etc. - Data pipeline – Dataflow - Power Automate Automation Tooling – UI Path, etc. - CI/CD Pipeline – Azure DevOps Pipeline - Infrastructure as Code (IaC) - Terraform