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)