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AI / ML Engineer - Chatbot & Generative AI

AI / ML Engineer - Chatbot & Generative AI

MyHashtagssIndia
21 days ago
Job description

Job Title : AI / ML Engineer (ChatBot & Generative AI)

Location : Remote (with occasional visits to client sites in Bangalore, Noida, Pune, Hyderabad, Chennai, or Indore)

Experience Level : 5+ Years

Work Hours : 11 : 00 AM 8 : 30 PM IST

Primary Responsibilities :

AI / ML Model Development :

  • Design, build, and deploy advanced AI / ML models using Python, Azure Machine Learning, and Generative AI frameworks.
  • Implement, fine-tune, and scale large language models (LLMs) such as GPT, Gemini, and other state-of-the-art architectures.

Cloud Integration & Deployment :

  • Integrate AI / ML solutions seamlessly with Microsoft Cloud services, including Azure Functions, Azure Data Lake, Azure Synapse, and Azure Cognitive Services.
  • Leverage containerization tools (Docker) and CI / CD pipelines for scalable production deployments.
  • Generative AI & RAG Systems :

  • Build and optimize Generative AI applications and Retrieval-Augmented Generation (RAG) pipelines.
  • Work with frameworks like LangChain, LangGraph, and vector databases such as FAISS and Pinecone.
  • Collaboration & Stakeholder Management :

  • Partner with data scientists, solution architects, software engineers, and business stakeholders to translate business requirements into scalable AI / ML solutions.
  • Provide technical guidance, perform code reviews, and mentor junior engineers.
  • Model Optimization & Monitoring :

  • Ensure high availability and performance of models in production by designing robust monitoring and optimization frameworks.
  • Apply MLOps best practices for continuous training, deployment, and lifecycle management.
  • Governance & Security :

  • Implement security-first AI design to ensure compliance with enterprise security, privacy, and regulatory standards.
  • Apply Microsoft Azure governance frameworks for safe and reliable AI deployments.
  • Research & Innovation :

  • Stay up to date with cutting-edge advancements in AI / ML, deep learning, and GenAI ecosystems.
  • Experiment with emerging open-source libraries, LLM orchestration tools, and prompt engineering techniques.
  • Qualifications & Skills :

    Educational Background :

  • Bachelors or Masters degree in Computer Science, Machine Learning, Artificial Intelligence, Data Science, Engineering, Mathematics, Statistics, or related field.
  • Core Technical Expertise :

  • 5+ years of hands-on experience in machine learning engineering or AI / ML development with Python and cloud-based platforms.
  • Deep expertise in large language models (LLMs) such as GPT, Gemini, and other Transformer-based architectures.
  • Strong proficiency in ML frameworks : PyTorch, TensorFlow, Keras, Scikit-learn.
  • Expertise in data manipulation and analysis using Pandas, NumPy, and Python data libraries.
  • Experience designing LLM-powered applications with LangChain, LangGraph, and vector databases (FAISS, Pinecone).
  • Cloud & DevOps Competencies :

  • Hands-on experience with Microsoft Azure services : Azure Machine Learning, Azure DevOps, Azure Synapse, and Cognitive Services.
  • Familiarity with CI / CD pipelines, REST APIs, and containerization (Docker, Kubernetes).
  • Strong knowledge of MLOps frameworks, model monitoring, and automated deployment pipelines.
  • Additional Skills :

  • Experience with Power BI or other Microsoft analytics and visualization tools.
  • Familiarity with healthcare data standards (X12, HL7) is a strong plus.
  • Strong understanding of enterprise security practices, including identity management and role-based access control.
  • Azure Certifications such as Azure AI Engineer Associate or Azure Data Scientist Associate are highly preferred.
  • Soft Skills :

  • Excellent problem-solving, analytical, and communication skills.
  • Ability to collaborate in cross-functional teams and drive end-to-end ownership of AI / ML initiatives.
  • Strong presentation skills to convey technical concepts to both technical and non-technical audiences.
  • What We Offer :

  • Opportunity to work on cutting-edge AI / ML projects in the Microsoft cloud ecosystem.
  • Exposure to large-scale enterprise clients across industries, with a focus on Generative AI, cloud-native AI, and automation.
  • A collaborative environment with AI / ML experts, architects, and business innovators.
  • Learning and certification support in the Microsoft Azure AI / ML stack.
  • Competitive compensation and career advancement opportunities.
  • (ref : hirist.tech)

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