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Added just now
Data Architect - 12 month contract
Euna Solutions
Atlanta, GA
Specify the layered data model - raw to cleansed to curated to a fully safe analytical layer that holds no sensitive data - so the program never becomes a data swamp
Added just now
Senior Director, Consumer Launched Product Market Research
Lilly USA, LLC
United States
…Research and Analytics into a single, integrated partnership model that helps our business partners make faster, better, more customer-centered…
Added 1 min ago
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Manufacturing Engineer
Actalent
Edgewater, FL
- $35 to $45 USD / hour
Support new model integration activities by ensuring manufacturing processes, tools, and equipment are ready for launch.
Added 3 mins ago
AI/ML Engineering Co-op - Spring 2027
CACI, INC.-FEDERAL
King of Prussia, PA
Building a Model Context Protocol (MCP) server
Added 3 mins ago
AI Engineer
CACI, INC.-FEDERAL
Remote, United States
Manage prompt and model versioning, and support CI/CD deployments of AI services
Added 4 mins ago
EW
Primary Care Nurse Practitioner/Physician Assistant - Part-Time
Eventus WholeHealth
Harrisonburg, VA · Timberville, VA
- Part-time
Join our growing team and contribute to a healthcare model that truly makes a difference!
Added 5 mins ago
Enterprise Account Manager - TX
Boomi
United States
Experience using Salesforce, Clari, and MEDPPIC model preferred
Added 5 mins ago
Enterprise Account Manager - Southeast
Boomi
United States
Experience using Salesforce, Clari, and MEDPPIC model preferred
Added 5 mins ago
Enterprise Account Executive
Boomi
United States
Experience using Salesforce, Clari, and MEDPPIC model preferred
Added 6 mins ago
CH
Physical Therapist, Outpatient
Confluent Health
Canby, OR
- $82,000 to $110,000 USD / year
A care model designed to support quality outcomes and efficiency.
Added 10 mins ago
Principal AI Systems Engineer, Controls Acceleration
Nike
Beaverton, OR
Create training, testing, and deployment frameworks that support reliable transitions from model development to real-time embedded implementation.
Added 11 mins ago
AI Infrastructure Global Technical Sales Lead
Google
Austin, TX · Chicago, IL · Addison, TX · Houston, TX · Sunnyvale, CA
Define requirements across backend operational layers and distributed systems to accelerate adoption of specialized accelerator hardware and large model training/inference stacks.
Added 16 mins ago
CL
Energy and R&D Tax Credit Senior Manager
Crowe LLP
Denver, CO
- $139,200 to $293,500 USD / year
This role follows a hybrid work model for candidates located near a Crowe office. Candidates who are not within commuting distance of a Crowe office may be considered for a remote work…
Added 20 mins ago
UG
Per Diem-NP or PA Senior Community Care- Suffolk County
UnitedHealth Group
Riverhead, NY · Hauppauge, NY
- $60 to $84 USD / hour
…uniting industry-leading solutions to build an integrated care model that holistically addresses an individual’s physical, mental and social needs - helping patients access and navigate…
Added 21 mins ago
Lead Software Engineer
JPMC page
Jersey City, NJ · Palo Alto, CA
…confidence. If you enjoy building scalable systems and improving developer experience, this role offers meaningful impact and…
Added 23 mins ago
EW
Primary Care Nurse Practitioner/Physician Assistant - Part-Time
Eventus WholeHealth
Harrisonburg, VA · Timberville, VA
- Part-time
Join our growing team and contribute to a healthcare model that truly makes a difference!
Added 26 mins ago
Motorsport Software and Data Analytics Graduate Intern
Bosch Group
Farmington Hills, MI
Simulation & Performance Analysis: Support vehicle and power unit simulation activities, sensitivity analysis, model development, and comparison of simulation results with dyno, test, and…
Added 32 mins ago
Data Analytics Specialist Quality Operations - Pontiac MI
Military Spouse Jobs & VetJobs
United States
…validation, leakage prevention, interpretation, and ongoing model…
Added 33 mins ago
Senior Legal Engineer, CoCounsel FDE
Frisco, TX · NY · Ann Arbor, MI · Eagan, MN
Hybrid Work Model: We’ve adopted a flexible hybrid working environment for our office-based roles while delivering a seamless experience that is digitally and physically connected.
Added 36 mins ago
Senior Manager, Salesforce Technical Product Owner
Mitsubishi Heavy Industries, Ltd.
Orlando, FL
Added 41 mins ago
Senior AI Engineer
Cornell University
Ithaca, NY
Hands‑on experience delivering and operating Generative AI / LLM‑backed applications in production environments, including model orchestration, vector databases, and AI agent frameworks.
Added 42 mins ago
Technical Architect
Cenero Sept 2026
Malvern, PA · NY · Lebanon, NJ · Columbia, MD · Charlotte, NC
Added 46 mins ago
Connected Services Analytics
Stellantis
Auburn Hills, MI
Prepare, structure, and curate datasets to support AI model development and intelligent workflows.
Added 46 mins ago
Manager, AI/ML Engineering
Stellantis
Auburn Hills, MI
…product-management partners. This is a deliberate operating model: the role succeeds through strong delivery inside that partnership - shaping requirements, pushing back with evidence, and…
Added 47 mins ago
UX Engineer, Search Design System
Google
Mountain View, CA · New York, NY · San Francisco, CA
Apply an inventive mindset to technical issues, finding ways to bridge gaps between design goal and model capabilities when standard solutions don't yet exist.

Closed listing

Deloitte

Lead AI and Data Science Engineer II

Hermitage, TN, United States
Nashville, TN, United States
Memphis, TN, United States

This opening has closed.

The original listing is kept below for reference.

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Job details

Posting language: English
Posted: Nov 5, 2026

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Original job description

Archived listing. The details below describe a past opening.

Do you have a strong background in machine learning and deep learning? Are you interested in utilizing your data science skills and leading a small team in a fast-paced environment to achieve strategic mission goals? If so, Deloitte has an exciting opportunity for you! As a member of our GPS GSi group, you will play a crucial role in the development and maintenance of our data science and business intelligence solutions. This role will specialize in leading machine learning, deep learning, and generative AI initiatives that will be utilized by Enterprise Solutions professionals to enhance and expedite decision-making. You will provide expertise within and across business teams, demonstrate the ability to manage ambiguity, and apply problem-solving skills to anticipate and resolve complex issues.

Work you'll do

Lead the development of data science products that meet the needs of our clients, with an emphasis on the ability to transform client needs into quantifiable data science solutions and track their outcomes.
Independently manage workstreams, using critical thinking and problem-solving skills to devise effective solutions for unique challenges and proactively identify critical business problems.
Design, train, and deploy machine learning and deep learning models to various platforms (AWS, Databricks, Snowflake, etc.).
Lead the design of, and advise on, Large Language Model (LLM) solutions for enterprise-wide documentation (e.g., Retrieval-Augmented Generation (RAG), Continued Pre-training (CPT), Supervised Fine-tuning (SFT), etc.)
Utilize Machine Learning Operations (MLOps) pipelines, including knowledge of containerization (Docker) and CI/CD for training and deploying models.
Develop cleanly written code that is sufficiently commented and easily understood by others, and ensure the team's code meets the same standard for sharing and collaboration.
Maintain structured documentation of project development stages, including the utilization of GitHub for version control and project management, and track team progress against project scope and timeline.
Build clear narratives and translate analytics into business-relevant insights, breaking down complex analytical solutions to explain to clients and internal stakeholders.
Remain current with latest industry trends and developments in data science and/or related fields, applying them to build leading practices and respectfully challenging existing approaches, with the ability to learn new skills and knowledge and coach team members to advance the skillset of our Data Science team.
Apply thorough attention to detail, and oversee the review of the team's data science solutions for accuracy and quality.
Coach and mentor team members, and contribute to Coach and project management responsibilities.
Proactively identify risks and dependencies, and escalate appropriately.

The Team

Government Solutions and Innovation builds and maintains AI-powered platforms for the GPS Practice - acting as the connective tissue between business stakeholders, end users, and the development team, and using data to continuously improve the product experience and drive realized value.

Qualifications

Required:

Bachelor's Degree in Statistics, Mathematics, Computer Science, Engineering or other analytical field
8+ years of experience with data science - including having a deep knowledge & mastery of Python, machine learning & deep learning, and associated data science packages (e.g., sklearn, TensorFlow, PyTorch) - and demonstrated experience leading data science projects and teams from inception to deployment.
Strong knowledge of LLMs and RAG.
Working knowledge of AWS, Databricks, and/or Snowflake platforms.
Strong knowledge of MLOps, including familiarity with containerization (e.g., Docker).
Excellent troubleshooting skills and the ability to manage ambiguity and work independently.
Strong organizational skills, including clear documentation of projects and ability to write clean code.
Experience leading projects using agile project methodology and/or project development lifecycle.
Experience with GitHub for version control.
Excellent communication and presentation skills, with the ability to explain complex data science concepts to non-technical audiences and build narratives that influence internal and client stakeholders.
Ability to complete work in an acceptable timeframe and manage a variety of workstreams, team priorities, and responsibilities simultaneously and with accuracy to meet deadlines, goals, and objectives and satisfy internal and external customer needs related to the job.
Demonstrated experience coaching or mentoring other data scientists.
Ability to travel 15%, on average, based on the work you do and the clients and industries/sectors you serve.
Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

Master's Degree in Statistics, Mathematics, Computer Science, Engineering or other analytical field, OR comparable direct work experience.
Significant experience with MLOps and associated serving frameworks (i.e., FastAPI, etc.) and orchestration pipelines (e.g., SageMaker Pipelines, Step Functions, etc.).
Significant experience working with open source LLMs (e.g., serving via TGI / vLLM, performing CPT and/or SFT, etc.).
Experience using various AWS Services (e.g., Eventbridge, EC2, Lambda, Textract, etc.).
Knowledge of Object-Oriented Programming (OOP) concepts.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $118,700 to $197,800.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

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