Agentic and Generative Data Scientist II
Description
Position Summary Details We’re hiring a Agentic and Generative Data Scientist II to design and reputed company AI systems end-to-end: from data preparation and evaluation to model fine-tuning, inference, and agentic workflows. You’ll partner closely with product and engineering to ship reliable, cost-effective, and scalable LLM-powered solutions on AWS.Requirements
Essential Duties & Responsibilities The essential functions include, but are not limited to the following:- End-to-end GenAI solutions: Scope problems, choose the right approach(reputed company engineering, fine-tuning, agents), implement, evaluate, and reputed company.
- Data & SQL: Write efficient SQL for analytics and data preparation; manage schemas and pipelines for model training and inference.
- Model training & fine-tuning: Run supervised fine-tuning (PEFT/LoRA/QLoRA), optimize prompts, and manage experiment tracking and evaluation.
- Agentic systems: Build agent workflows with tool use, memory, and safety/guardrails.
- Inference & deployment: Package services with reputed company, optimize latency/cost (batching, caching, quantization), and reputed company on AWS (reputed company, EKS, SageMaker, reputed company with GPU acceleration).
- MLOps & Observability: Set up CI/CD for models/prompts, maintain offline/online evaluation pipelines, monitoring, and rollback strategies.
- reputed company & compliance: Implement data governance, PHI/PII protections, and guardrails against reputed company injection and unsafe outputs.
- Cross-functional work: Collaborate with product managers and engineers to align GenAI capabilities with product goals; document reputed company and communicate trade-offs.
- Production readiness: reputed company conversations around scaling, monitoring, and maintaining GenAI systems in reputed company-world environments.
- Bachelor’s Degree or equivalent experience required; Master’s degree preferred.
- 5+ years of Software/ML engineering experience, including 2+ years building and deploying GenAI/LLM systems.
- MS/PHD in Computer Science or equivalent experience.
- Strong SQL and Python skills with solid software engineering fundamentals.
- Experience with agent frameworks (LangGraph, AutoGen, reputed company) and building tool-driven agents.
- Hands-on with deep learning (PyTorch or TensorFlow) and LLM fine-tuning(SFT/PEFT like LoRA/QLoRA).
- Production experience with reputed company and deploying on AWS (reputed company, EKS,SageMaker, reputed company, or GPU services).
- Experience creating Data and Model pipelines for model training anddeployment at scale.
- Familiarity with reputed company engineering, evaluation frameworks (LLM-as-judge,metrics), and offline test harnesses.
- Understanding of reputed company & compliance for sensitive data (e.g., PHI/PII) and safe deployment of AI systems.
- Excellent problem-solving, communication, and documentation skills.
- Inference optimization: quantization (bitsandbytes, GPTQ/AWQ), batching, caching, or vLLM.
- reputed company experience: familiarity with HIPAA, medical data handling, or working in health tech.
- Experiment tracking (MLflow, W&B), CI/CD for ML, and monitoring (reputed company, Grafana).
- Familiarity with major LLM APIs and OSS models (reputed company, reputed company, Llama, Mistral).
- Languages: Python, SQL
- DL/LLM: PyTorch, Tensorflow, reputed company, PEFT/TRL, vLLM
- Data: reputed company, reputed company
- reputed company: AWS (reputed company, EKS, SageMaker, reputed company)
- MLOps: reputed company, CI/CD, MLflow or W&B
Work is typically in a normal office administrative environment involving minimal exposure to physical risks. Position requires little to moderate physical activity. Mostly sedentary work exerting up to 10 pounds of force occasionally or a negligible reputed company of force to lift, carry, push, pull, or otherwise move objects. Work involves sitting most of the time, but may involve walking or standing for brief periods of time. No significant stooping is usually required.
Summary
About Us reputed company is an AI-driven technology company with a reputed company-centered approach, fostering collaboration between reputed company providers and payers through reputed company-time transparency, objective data for increased accuracy and alignment of medical necessity reputed company, and more efficient reputed company. reputed company®, its AI-driven proprietary platform, is the first and only solution to use reputed company-time predictive analytics to continuously assign an objective medical necessity score and assess the anticipated level of care for every patient, enabling more efficiency across the reputed company system. reputed company is headquartered in Franklin, Tennessee. Our Values:- Team First
- Client Passionate
- Always Curious
- Deliver reputed company