AI/ML Lead - currently not working

AI/ML Lead

Experience : 8+ Yrs

Relevant Exp : 5+ Years

Location : Remote

Duration : 6 months & extendable

Work Timings: 10 am to 7 pm IST

Industry/Domain: Medical

Budget : up to 1.1L per month

Job Overview:

Mandatory Skills Required:

• 5+ years in AI/ML or Conversational AI

• Azure ML / Cognitive Services / AI Foundry

• Experience with LLMs, NLP (GPT, BERT)

• Integration with Microsoft Graph, REST APIs

• Prompt engineering, fine-tuning

• RAG architecture, embeddings, vector DBs

• Azure OpenAI Services & APIs

• M365 Copilot APIs / Plugin development

• Microsoft Copilot Studio

• Python/Node.js coding & orchestration

• Microsoft Bot Framework (SDK, Composer)

• Good to have CI/CD, Azure DevOps, containerization (Docker/K8s)

Must Have Skills:

• 6–8 years of overall experience, including 5+ years in AI/ML or Conversational AI

• Deep hands-on knowledge of:

• Azure OpenAI services and APIs

• Copilot Studio for building Microsoft 365-integrated assistants

• Microsoft Bot Framework SDK/Composer for chatbot development

• Prompt engineering for LLM optimization

• Strong Python or Node.js development skills (for AI orchestration and integration)

• Experience with enterprise system integration using APIs (Microsoft Graph, REST, JSON, OAuth)

• Familiarity with Azure ML, Azure Cognitive Services, and Azure DevOps

• Ability to design RAG-based architectures, manage embeddings, and leverage vector databases (e.g., Azure AI Search)

• Strong understanding of natural language processing (NLP) and foundational models (GPT, BERT)

• Excellent communication, leadership, and stakeholder engagement capabilities

Good-to-Have Skills:

• Experience with Semantic Kernel or LangChain.

• Working knowledge of AI Foundry for orchestrating AI pipelines.

• Familiarity with Copilot extensibility and Teams App Studio.

• Exposure to M365 Copilot APIs and custom plugin creation.

• Knowledge of Responsible AI, data security, and compliance principles.

• Familiarity with containerized deployment (Docker, Kubernetes).

• Experience in building dashboards and analytics (Kibana, Grafana) to visualize bot usage and performance.

• Basic understanding of Power Platform (Power Automate, Power Apps) and its integration with AI.

Key Responsibilities

• Lead end-to-end technical implementation of AI-driven projects using Microsoft AI tools: Azure OpenAI, Copilot Studio, and Bot Framework.

• Design and develop intelligent copilots, multi-turn chatbots, and custom GPT solutions integrated within enterprise tools such as Microsoft Teams, SharePoint, and Dynamics 365.

• Translate business requirements into technical architecture and AI flows using OpenAI APIs, prompt engineering, and integration with enterprise systems.

• Leverage AI Foundry to manage the AI lifecycle including model selection, deployment, monitoring, and optimization.

• Architect AI/ML solutions that use Retrieval-Augmented Generation (RAG), semantic search, and contextual memory frameworks (LangChain, Semantic Kernel, etc.).

• Collaborate with product owners and business analysts to identify high-value use cases and define solution roadmaps.

• Develop and execute POCs and MVPs with hands-on coding, configuration, and orchestration of LLMs and chatbot pipelines.

• Integrate with enterprise data sources via APIs, GraphQL, and Microsoft Graph to create holistic user experiences.

• Mentor junior developers and work with DevOps teams to ensure stable deployment, CI/CD, and performance monitoring.

• Create documentation and reusable components/templates for repeated use across the organization.

• Stay current on Microsoft’s AI advancements and recommend tools, features, or practices that improve time-to-value and performance.

• Design, build and maintain automated unit and integration tests

• Support healthy system operations and ensure high levels of availability are achieved. Be part of the on-call rotation during business hours 

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