GEN AI Consultant

Roles and Responsibilities: Experience with building AI and machine learning solutions, Machine Learning Operation frameworks such as Kubeflow, and leveraging specific machine learning architectures (e.g., deep learning, LSTM, etc.) Experience working in Gen AI Framework like Langchain Experience working in Gen AI Open-source platform like TensorFlow, Keras and PyTorch Understanding of AI Models, Large Language Models, and AI specialized infrastructure especially as it relates to AI trends and issues within businesses. Understanding of responsible AI practice. Provide AI expertise to support the technical relationship with customers, including product and solution briefings, proof-of-concept work. Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to implement a complete solution using Gen AI best practices. Support developers, creators, and enterprises to leverage Generative Language APIs so they can build their own AI products in the future. Work with the team to identify and qualify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers. Strategize surrounding solution code development in collaboration with internal or external developers, users, partners, clients, or stakeholders as needed. Build APIs that cater to the diverse need of customers through REST API Strong understanding of Database concepts (Vector DBs - e.g Mongo, Chroma DB) and connectivity. Experience in AWS Sagemaker Should have background knowledge on Google Vertex and Azure AI Suite Complete understanding of LLM Models Complete understanding of Foundation Model training Experience in Airflow and DataAgent development Work experience in Kubernetes & Docker containers. Evaluation of GenAI models Primary skills: Artificial Intelligence, Machine Learning, Python, NLP, TenserFlow At least 5+ years of programming experience in Python and real time working experience in Gen AI Implementation experience in various Machine Learning and Deep Learning algorithms Strong proficiency in Programming Languages such as Python and R and Gen AI framework like TensorFlow and PyTorch. In depth knowledge of Machine Learning, Deep Learning architecture and Generative AI LLM models. Experience in data cleansing and processing for Machine Learning applications. Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models. Proficiency with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models. Proficiency on Prompt Engineering and responsible AI. Good Communication skills Good analytical and problem-solving skills