GEN AI Consultant

Responsibilities

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

Additional Responsibilities:
• 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

Technical and Professional Requirements:

Primary skills: Artificial Intelligence, Machine Learning, Python, NLP, TenserFlow

Preferred Skills:

Technology->Big Data->Natural language processing(NLP),Technology->Artificial Intelligence->Artificial Intelligence – ALL,Technology->Machine Learning->TensorFlow,Technology->Machine Learning->Python,Technology->Data Science->Machine Learning