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Requirements and responsibilities
This role is for one of our clientsIndustry: Software DevelopmentSeniority level: Mid-Senior levelExperience: 4+ yrsLocation: Remote (India)Job Type: full-timeRequirementsQualificationsExperience 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 5+ years of experience in Generative AI and Minimum 2+ 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.LLM (GPT); prompt engineering for reflex, model and self-learning agentsFacility with Python to code wrappers, interface with APIs, develop utilitiesExperience with packages such as LangChain and LangGraphExperience with assembling intelligent AI agents to implement variety of use casesA recent use case for Agentic AI powered by LLMs: NLQ to SQL translatorYou 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)Requirements added by the job posterBachelor's Degree from IITs/ NITs/ BITs/ IIITs would be preferredWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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