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Engineering Manager
Morton/Windsor
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…facility. Plans, directs and controls all aspects of capital project planning and execution. Provides technical assistance for EHS, quality, wet end and dry end operations, maintenance and…
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Our client, a leading aerospace and defense technology organization, is seeking a Electrical Engineer to join their team. As an Electrical Controls Engineer, you will be part of the…
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Electrical Engineer - Power System Protection (Transmission) Job Details | Black & Veatch Family of Companies
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Controls & SCADA Engineer - Data Centers Job Details | Black & Veatch Family of Companies
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Sentinel - Systems Engineer - Support Systems Integration
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Sentinel - Principal Systems Engineer - Support Systems Integration
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Sentinel - Principal Systems Engineer - Support Systems Integration
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Closed listing

Deloitte

Lead AI and Data Science Engineer II

Omaha, NE, 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.

About employer

More about this job

Skills

Machine learning
Deep learning
GPS
Decision making
Problem solving
Critical thinking
AWS
Databricks
Snowflake
Documentation
CPT
Docker
CI/CD
GitHub
Project management
Attention to detail
Statistics
Computer science
Python
TensorFlow
PyTorch
Troubleshooting
Work independently
Organizational skills
Communication skills
Presentation skills
Meet deadlines
Coaching
Object-oriented programming

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