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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As an AIML Engineer, you will be responsible for designing, developing, and deploying AI-powered applications and agentic AI solutions leveraging Python, LangChain, LangGraph, LLMs, RAG, Oracle Database 23c/26ai, and Oracle APEX. You will work closely with cross-functional teams to build scalable AI solutions that integrate ...
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... companies . - Proven experience handling enterprise-level Indian customers , understanding their business culture and delivery expectations. - Strong exposure to AI/ML-based product implementations or integrations. - Deep understanding of Agile/Scrum delivery practices. - Demonstrated ability to lead multi-disciplinary teams ...
... in previous roles — replacing manual/repetitive steps with tools, scripts, or AI-assisted workflows. - An "AI-native" way of working — comfortable using LLMs/AI copilots as part of daily workflow (analysis, documentation, communication, process design), not just as a novelty. - Experience working with AI/ML teams and understanding ...
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... Azure, GCP) and MLOps tools. - Familiarity with vector databases, RAG pipelines, and LangChain or similar frameworks. - Proven track record of delivering Gen AI solutions in production. - Experienced in providing technical solutions and working closely with architecture and dev teams to derive the desired outcome. - Strong ...
... skills and a successful track record of manipulating, processing and extracting value from large and heterogeneous datasets. - Practical experience developing AI/ML or generative-AI solutions, including prompt design, structured outputs and systematic evaluation. - Working knowledge of cloud platforms, preferably AWS, and ...
... statistical models to transformer-based architectures and retrieval-augmented generation (RAG) systems Develop and optimize prompts, evaluation frameworks, and guardrails for LLM-powered applications Engineer scalable data and ML pipelines in Databricks using PySpark, Delta Lake, and MLflow Deploy, monitor, and maintain models ...
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