AI ML Architect in Mumbai, India is listed on Jobeax. Browse 30,000+ vacancies available.
We are looking for an AI / Generative AI Expert with 8–10 years of overall experience to research, develop and implement advanced AI solutions. The role will focus on leveraging existing AI/Generative AI assets, developing innovative solutions and driving the adoption of Generative AI, GPT/LLMs and Agentic AI across business applications. Key Responsibilities Reuse and enhance existing AI/Generative AI libraries, platforms, models and assets . Research and develop novel AI and Generative AI algorithms and techniques . Design, develop and optimize end-to-end AI/ML solutions for various applications. Work across Generative AI, NLP, Computer Vision and Machine Learning use cases. Develop and implement solutions using GPT models, LLMs, RAG and Agentic AI . Conduct experiments, analyze results and improve model performance, accuracy, scalability and efficiency . Collaborate with cross-functional teams to integrate AI solutions into existing products and services. Stay updated with the latest advancements in AI, Generative AI, LLMs and industry trends . Contribute to the development and adoption of AI/Generative AI best practices, standards and frameworks . Drive AI innovation and Agentic AI adoption within the organization. Ensure appropriate application of Responsible AI and AI ethics principles.
Required Skills
8–10 years of overall experience in AI / Machine Learning / Data Science / Artificial Intelligence .
Strong hands-on expertise in Generative AI, GPT Models / LLMs, Data Science and Python .
Strong understanding of Machine Learning, Deep Learning, Neural Networks and Reinforcement Learning .
Hands-on experience with RAG, GANs, VAEs and other Generative AI models .
Strong knowledge of NLP and Computer Vision techniques.
Good understanding of statistics, probability, data mining and data cleaning .
Strong experience with SQL and Python ML packages such as Scikit-learn, XGBoost and Keras.
Experience in building data pipelines and working with at least one cloud platform .
Good knowledge of Git, GitLab and CI/CD .
Familiarity with AI ethics and Responsible AI practices .
Strong analytical, problem-solving, research and collaboration skills.
Qualification ~ B.E./B.Tech or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Information Technology or a related field.
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We are looking for an experienced AI Architect to design and deliver scalable, secure, and enterprise-grade AI solutions aligned with business requirements. The role will focus on AI/ML architecture, Generative AI, LLMs, RAG, cloud-native applications, and end-to-end solution delivery while ensuring responsible AI, security, ...
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... https://jobeax.com/link/XnflZD2dGSZYgXFG Responsibilities :- Design and define architecture for enterprise-scale AI and Generative AI solutions.- Develop scalable AI/ML architectures using cloud-native platforms and services.- Design solutions leveraging LLMs, Generative AI, RAG, and Agentic AI capabilities.- Evaluate AI technologies, ...
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... into deployable AI systemsWhat we're looking for : - 415 years of experience across AI/ML engineering, GenAI, or solution architecture (seniority flexible Architect / Lead / Senior tracks all open)- Hands-on experience with Agentic AI, Generative AI, and LLMs- Strong Python fundamentals; familiarity with LangChain, LangGraph, ...
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