Senior GenAI / Agentic AI Engineer (Immediate Joiner)

EazyML, Recognized by Gartner, EazyML () specializes in Responsible AI. Our solutions facilitate proactive compliance and sustainable automation and The company is associated with breakthrough startups like Amelia.ai.This is a FULLY REMOTE role for a Generative AI/ Agentic AI Engineer and ML expert. THIS IS NOT AN ENTRY LEVEL JOB, DO NOT APPLY IF YOU DON'T HAVE AT LEAST 4 YEARS OF GENAI HANDS ON USE CASE IMPLEMENTATION EXPERIENCE. NO EXCEPTIONSYou can work from home (anywhere in INDIA, job location is in India) and will be responsible for researching and developing EazyML platform, along with helping solve Customer problems. QualificationsExperience in AI/GenAI solution for prompt engineering, architecture, consulting, and enterprise architectureExperience in software developmentExcellent communication skills (customer facing position)A deep understanding of GenAI/ML technologies and their implementationsExperience in the financial, healthcare, or insurance industries is a plusBachelor's/Master's degree in Computer Science/data science or related fieldDemonstrated expertise in statistical analysis and machine learning concepts, with proficiency in PythonSolid understanding and experience in designing, implementing, and optimizing end-to-end machine learning pipelines.Minimum 3+ years of experience in Generative AI and Minimum 4+ years in traditional Machine Learning, with a focus on the creation, training, and deployment of services such as recommendation engines, deep learning, and generative AI models.1. LLM (GPT); prompt engineering for reflex, model and self-learning agents2. Facility with Python to code wrappers, interface with APIs, develop utilities3. Experience with packages such as LangChain and LangGraph4. Experience with assembling intelligent AI agents to implement variety of use cases5. A recent use case for Agentic AI powered by LLMs: NLQ to SQL translator6. You MUST have the ability to think through clearly for a solution design,Experienced in Large Language Models, Transformers, CNN, TensorFlow, Scikit-learn, Pytorch, NLP libraries, Embedding Models, Vector DatabasesHands-on experience with OpenAI, Llama/Llama2 and other open-source models, and Azure OpenAI models Education- Engineering, Math and Statistics foundation, (Data Science/Computer Science preferred)

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