Delivery Module Lead

Delivery Module Lead< Job Description< Role : Generative AI (Gen AI) Developer< Location : Onsite/USA< Who are we looking for?< We are seeking a Mid-Level Generative AI Developer with strong expertise in Python , AI-focused Python libraries , and AWS services to design, develop, and deploy cutting-edge AI solutions. The ideal candidate will have hands-on experience with AWS Bedrock, AWS Knowledge Base , and a deep understanding of LLM models . They also understand Retrieval-Augmented Generation (RAG) models, vector databases, and AWS Serverless Technologies to build scalable and efficient AI solutions.< Key Responsibilities: < 3+ years of experience in AI/ML development, with a focus on Generative AI and LLMs .< Strong proficiency in Python and experience with AI/ML-focused libraries (e.g., PyTorch, TensorFlow, LangChain, Transformers).< Hands-on experience with AWS Bedrock and AWS Knowledge Base .< Solid understanding of LLM models (GPT, Claude, Llama, Falcon, etc.) and their applications.< Experience with RAG (Retrieval-Augmented Generation) models and vector databases (e.g., Pinecone, OpenSearch ).< Expertise in AWS Serverless Technologies , including Lambda, API Gateway, Step Functions, S3, and DynamoDB . Familiarity with MLOps practices , CI/CD pipelines for AI models, and cloud-based AI deployment. Strong problem-solving skills, analytical thinking, and ability to work independently or in a team environment. Process Skills: Develop and fine-tune Generative AI solutions using foundation models Develop and optimize AI solutions using Python and AI-related Python libraries Leverage AWS AI Services & AWS Serverless technologies to build & deploy intelligent AI-driven solutions. Ability to implement Retrieval-Augmented Generation (RAG) techniques using vector databases to improve AI responses.< Work closely with cross-functional teams to design and deploy AI-driven applications in a cloud-native environment.< Stay updated on emerging AI trends, best practices, and advancements in LLMs and generative AI models .< Collaborate with data engineers and domain experts to integrate AI solutions into existing insurance platforms.< Ensure compliance with industry regulations and data security standards while handling sensitive insurance data.< < Preferred Qualifications :< Somebody who has at least 6+ years of work experience.< Education qualification: Any degree from a reputed college< Knowledge of prompt engineering and techniques to enhance AI response accuracy.< Exposure to multi-modal AI models (text, image, speech).< Certification in AWS AI/ML services< Experience with python AI/ML-focused libraries (e.g., Scikit-learn, pandas, Num-py).< Knowledge of AWS AI services , such as Comprehend (NLP), Textract (document processing), Rekognition (image analysis), etc .< < New York5 - 8 Years10C12-Feb-2025YACTIVE420451 PRIMARY COMPETENCY : Cognitive Services PRIMARY SKILL : AI/ML (Artificial Intelligence & Machine Learning) Algorithms PRIMARY SKILL PERCENTAGE : 55 SECONDARY COMPETENCY : Python SECONDARY SKILL : Python SECONDARY SKILL PERCENTAGE : 25 TERTIARY COMPETENCY : Cloud Apps TERTIARY SKILL : Amazon Web Services-Cloud platform TERTIARY SKILL PERCENTAGE : 20