Gen AI Engineer responsible for analyzing and modeling organizational data for AI at Elevance Health. Collaborating on custom ML, NLP, and LLM model development and deployment.
Responsibilities
Analyzing and modeling organizational data for the Artificial Intelligence (AI) function to draw business insights.
Applies data extraction, transformation and loading techniques to connect large data sets from various sources.
Develop roadmap and strategy for NLP, LLM, Gen AI model development and lifecycle implementation.
Responsible for the design and development of custom ML, Gen AI, NLP, LLM Models for batch and stream processing-based AI ML pipelines including data ingestion, preprocessing modules, search and retrieval, Retrieval Augmented Generation (RAG).
Work closely with the MLOps team to create and maintain robust evaluation solutions and tools to evaluate model performance, accuracy, consistency, reliability, during development and UAT.
Identify and implement model optimizations to improve system efficiency.
Collaborate closely with MLOps, product teams, business stakeholders, machine learning engineers, and software engineers for deploying machine learning models into production environments.
Requirements
Requires a Bachelor’s degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent degree and 4 or more years of experience
Advanced Python proficiency
4+ years of professional hands-on experience leveraging large sets of structured and unstructured data to develop data-driven tactical and strategic analytics and insights using ML, NLP, and computer vision solutions.
Demonstrated 4+ years hands-on experience with Python, SQL, Hugging Face, TensorFlow, Keras, PyTorch, and Spark.
Experience with GCP/AWS cloud platforms.
Strong knowledge of and measurable hands-on experience with developing or tuning Large Language Models (LLM) and Generative AI (GAI)
Experience with NLP, LLMs (extractive and generative), fine-tuning and LLM model development.
Experience developing and optimizing high-quality prompts for NLP applications.
Excellent written & verbal communication and stakeholder management skills.
4+ years project leadership experience including Agile project management, Scaled Agile Frameworks (SAFE).
Principal Tech Lead for Generative AI solutions at Ameriprise India LLP. Leading design, development, and deployment of advanced AI systems in collaborative environment.
Senior Applied AI Engineer at GSK delivering high - impact AI/ML solutions aligned with R&D priorities. Collaborating with cross - functional teams to build and deploy machine learning models for drug discovery.
Lead GenAI & Agentic AI platform strategy for multiple clients at Capgemini Engineering. Driving adoption, managing operations, and advising on technological architecture.
Full Stack Engineer developing applications at Blue Origin focused on reusable space vehicles. Leveraging TypeScript, React, and AI in software development for innovative space solutions.
ROS Architect optimizing ROS architectures and software for Physical AI systems at ST Engineering. Engaging in cutting - edge robotics applications and collaborative hardware engineering efforts.
Entry - level AI Engineer at Bisnow using AI to enhance workflows and tools across various teams. Collaborating with senior leadership on practical AI applications for improved efficiency.
Senior AI Engineer leveraging Generative AI and Machine Learning in a hybrid position. Collaborating on solutions that enhance logistics and data - driven processes for a technology - driven enterprise.
AI Engineer responsible for designing, building, and deploying machine learning models. Working at Qualysoft, delivering AI solutions with robust, scalable, and optimized performance.
Senior AI Engineer at XTEL driving innovation using Python and GenAI. Collaborate in a flexible remote - hybrid environment with an international team.