Jobs in the United States

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Added 3 mins ago
J
Sr Cyber Engineer
Jobgether
Remote, United States
- $120,500 USD / year
AI Data Protection: Design and optimize data loss prevention (DLP) controls for prompts, file uploads, model responses, and agent tool calls, protecting protected health information (PHI),…
Added 3 mins ago
Full Stack Software Developer
Jobgether
Remote, United States
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Full Stack Software Developer based in the United States.
Added 11 mins ago
Distinguished Engineer - GaME (Geographies & Marketplace Experiences)
Nike
Beaverton, OR
Establish best practices for responsible AI, model lifecycle management, prompt engineering, evaluation frameworks and AI observability.
Added 19 mins ago
Director, AI & Technology Transformation
GSK
Collegeville, PA
We embrace modern work practises; our Performance with Choice programme offers a hybrid working model, empowering you to find the optimal balance between remote and in-office work.
Added 30 mins ago
CR
Sales Manager (Part Time)
Carter's Retail Inc.
Merrillville, IN
- Part-time
Consistently model service standards and omni-channel experience while coaching others to success
Added 35 mins ago
O
Lead Principal Platform Software Engineer
Oracle
Nashville, TN
- $113,600 to $306,400 USD / year
…services, integration frameworks, execution infrastructure, and developer tools for AI-enabled life sciences laboratories. These capabilities help scientists and application teams develop…
Added 35 mins ago
Senior Brand Marketing Manager
CircleCI
San Francisco, CA
…our brand has to meet the moment. It has a clear center: the developer is the hero of our story. We're looking for a Senior Manager, Brand Marketing to lead it into its next chapter. Our…
Added 44 mins ago
Business Development Specialist
PanEnergy Services, LP
Waltham, MA
Enbridge’s FlexWork (hybrid work model) offers eligible employees (Manager and below) the option to work from home on Wednesdays and Fridays, opt for a compressed work week schedule, or…
Added 44 mins ago
Business Development Specialist
Enbridge Employee Services Inc
Waltham, MA
Enbridge’s FlexWork (hybrid work model) offers eligible employees (Manager and below) the option to work from home on Wednesdays and Fridays, opt for a compressed work week schedule, or…
Added 52 mins ago
Senior Fabricator - Weekend Shift
Jered LLC
Brunswick, GA
…safety-first mindset. They don’t just meet expectations, they model best practices and elevate the performance of everyone around…
Added 1 hour ago
GI
Senior Data Strategy & Analytics Specialist
Genentech, Inc.
United States
- $107,400 to $199,400 USD / year
Added 1 hour ago
Senior Software Engineer, AI/ML
Google
Mountain View, CA
3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
Added 1 hour ago
Senior Director of Finance
Jobgether
Remote, United States
Model pricing and packaging strategies, new product opportunities, and market expansion initiatives.
Added 1 hour ago
J
Associate Director, AI & Applied Solutions
Jobgether
Remote, United States
- $140,000 to $190,000 USD / year
You will architect and prototype generative AI systems, explore emerging large language model technologies, and help shape the organization's AI technology ecosystem.
Added 1 hour ago
SO
Nurse (Multiple Positions)
State of Connecticut
Hartford, CT · Middletown, CT
- $40.2 to $52.63 USD / hour
Added 1 hour ago
SO
Head Nurse (40 Hour)
State of Connecticut
Middletown, CT
- $95,809 to $126,746 USD / year
Added 1 hour ago
TL
Vice President, Data Systems
The Los Angeles Lakers, Inc
El Segundo, CA
- $275,000 to $300,000 USD / year
…web and mobile applications that optimally funnel data and model outputs to decision makers. Oversee product management across the Lakers enterprise, turning user needs into prioritized…
Added 1 hour ago
Staff Software Engineer, Fullstack
QXO
Seattle, WA
Productionize pricing science and AI models (segmentation, market price, margin, elasticity, and LLM-based agents), including model serving, evaluation, versioning, and monitoring
Added 1 hour ago
Sr. Principal/Director PMT, Secure Work Enablement
Amazon Development Center U.S., Inc.
Sunnyvale, CA · Seattle, WA · New York, NY
- Partner with AWS Identity, Networking, and Security teams to co-develop the trust boundary model that extends enterprise governance from humans to AI agents.
Added 1 hour ago
Physician Internal Medicine
SCL Health Medical Group - Billings LLC
United States
…options including a school founded on the classical education model,…
Added 1 hour ago
Senior AI Engineer, Banking Technology
Citibank, N.A.
United States
Agentic Systems: Develop and integrate agentic AI systems leveraging multiple model providers and platforms (e.g., OpenAI, Anthropic, Google APIs).
Added 1 hour ago
Manager Information Technology 3
Northrop Grumman
Linthicum Heights, MD
Added 1 hour ago
Manager Information Technology 3
Northrop Grumman
Linthicum Heights, MD
…Operations, including required infrastructure and tools for AI model development, deployment, and operations…
Added 1 hour ago
M
Vice President, Global Brand Creative & Experiences
Marriott
Bethesda, MD
- $182,100 to $285,000 USD / year
Added 1 hour ago
Principal AI/ML Engineer - TS/SCI w/ Poly
Parsons Corporation
Baltimore, MD
Tune model gateway routing logic to select, evaluate, and optimize across multiple frontier and open-weight models for cost, performance, and mission fit.

Deloitte

Lead AI and Data Science Engineer II

Des Moines, IA, United States
Davenport, IA, United States

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Job details

Posting language: English
Posted: Nov 5, 2026

Original job description

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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