Gen AI Engineer
Role details
Job location
Tech stack
Job description
Please note that per our policy on hybrid/virtual work, candidates not within a reasonable commuting distance from the posting location(s) will not be considered for employment, unless an accommodation is granted as required by law.
PLEASE NOTE: This position is not eligible for current or future visa sponsorship.
The Gen AI Engineer is responsible for analyzing and modeling organizational data for the Artificial Intelligence (AI) function to draw business insights, which can be used to make business decisions.
How You Will Make an Impact:
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Applies data extraction, transformation and loading techniques in order to connect large data sets from a variety of sources.
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LLM development and fine-tuning strategies, best practices, and standards to enhance AI ML model deployment and monitoring efficiency.
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Develop roadmap and strategy for NLP, LLM, Gen AI model development and lifecycle implementation.
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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), NLP/LLM model development and ensure the end-to-end solution meets all technical and business requirements, and SLA specifications.
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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.
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Identify and implement model optimizations to improve system efficiency.
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Collaborate closely with the MLOps, product teams, business stakeholders, machine learning engineers, and software engineers for the deployment of machine learning models into production environments, ensuring smooth integration, reliability and scalability.
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Ensure the use of standards, governance and best practices in ML model development, and adherence to model and data governance standards.
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; or any combination of education and experience in configuration management, which would provide an equivalent background.
Preferred Skills, Capabilities, and Experiences:
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Advanced Python proficiency.
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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.
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Demonstrated 4+ years hands-on experience with Python, SQL, Hugging Face, TensorFlow, Keras, PyTorch, and Spark.
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Experience with GCP/AWS cloud platforms.
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Strong knowledge of and measurable hands-on experience with developing or tuning Large Language Models (LLM) and Generative AI (GAI)
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Experience with NLP, LLMs (extractive and generative), fine-tuning and LLM model development.
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Experience developing and optimizing high-quality prompts for NLP applications.
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Excellent written & verbal communication and stakeholder management skills.
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4+ years project leadership experience including Agile project management, Scaled Agile Frameworks (SAFE).
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LLM Infrastructure & Deployment: LLM serving platforms (vLLM, Text Generation Inference, FastAPI); Model quantization for LLMs (GPTQ, AWQ, bitsandbytes); GPU memory optimization techniques (tensor parallelism, pipeline parallelism); LLM caching strategies for inference optimization; RAG architecture design and implementation.
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Advanced cloud infrastructure (AWS EKS/ECS, GCP GKE, Azure AKS) knowledge.
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Containerization strategies for ML workloads; Canary deployments for ML models.
Benefits & conditions
At Elevance Health, we are creating a culture that is designed to advance our strategy but will also lead to personal and professional growth for our associates. Our values and behaviors are the root of our culture. They are how we achieve our strategy, power our business outcomes and drive our shared success - for our consumers, our associates, our communities and our business.
We offer a range of market-competitive total rewards that include merit increases, paid holidays, Paid Time Off, and incentive bonus programs (unless covered by a collective bargaining agreement), medical, dental, vision, short and long term disability benefits, 401(k) +match, stock purchase plan, life insurance, wellness programs and financial education resources, to name a few.
Elevance Health operates in a Hybrid Workforce Strategy. Unless specified as primarily virtual by the hiring manager, associates are required to work at an Elevance Health location at least once per week, and potentially several times per week. Specific requirements and expectations for time onsite will be discussed as part of the hiring process.
The health of our associates and communities is a top priority for Elevance Health. We require all new candidates in certain patient/member-facing roles to become vaccinated against COVID-19 and Influenza. If you are not vaccinated, your offer will be rescinded unless you provide an acceptable explanation. Elevance Health will also follow all relevant federal, state and local laws.