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Certifications.\nIncubation mindset - Research oriented, ability to deliver quick POC’s, and come up with ideas.\nCommunication and Documentation - Ability to share knowledge, conduct presentations and sessions, talk to clients and stakeholders, write good-quality technical documentation.\nProblem Solving - Technical depth in solving real-world problems with appreciation of business imperatives.\nTechnical requirements\nSKILLS - MUST HAVE:\nDesign, build, and deploy Hyperscalers-based (Azure, AWS, GCP or Databricks) ML models, including large-scale data processing, computationally intensive statistical modeling, and advanced analytics - Expert\nImplementation of Generative AI models for business solutions and experience on Azure Open AI, AWS Bedrock or Vertex AI or open-source models - Expert\nPython programming with robust code - Expert\nDeveloping a framework or generic pipeline to retrieve, optimize, and deploy Open-Source Models - Expert\nExplore and design a reference architecture for developing virtual assistants using foundation models - Expert\nFamiliarity with deep learning, machine learning and frameworks (like Keras, TensorFlow or PyTorch etc.), HuggingFace Transformers and libraries (like scikit-learn, spacy, gensim, CoreNLP etc.) - Working knowledge\nUnderstanding of LLMs and Gen AI especially as applied to text and image analysis and training - Working knowledge\nExperienced in fine-tuning of LLM models, implementation of AI Guardrails and Responsible AI Framework (explainability, bias detection, hallucination control) - Working knowledge\nExperienced in implementing LangChain Frameworks - Working knowledge\nLinux, HTTP/ REST - Working knowledge\nCloud Technologies - At least one of GCP, AWS, Azure\nJIRA, Conflence - Working knowledge\nAdditional responsibilities\nSKILLS - GOOD TO HAVE:\nLinux shell-scripting\nMultilingual NLP\nSOFT SKILLS:\nGood communication\nAbility to work in a team as well as independently deliver modules\nTeam player\nLEADERSHIP SKILLS:\nPeople Leadership: Able to lead and mentor a team of ~10-15 people\nThought Leadership: Having papers published in renowned journals, presentations in conferences, patent-filing preferred\nPreferred skills\nTechnology->AI-Data science->Databricks Machine Learning,Technology->AI-Generative AI->Artificial Intelligence - 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