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Ai Ml Manager Jobs (NOW HIRING)

National Marrow Donor Program

AI/ML Engineer

Minneapolis, MN · On-site

$105K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The AI/ML Engineer will play a crucial role in the AI Center of Excellence (CoE), supporting cross ... Partner with data scientists, architects, product managers, business stakeholders and technical ...

Starr Insurance Companies

AI/ML Engineer

New York, NY · On-site

As an AI/ML Engineer, this person will drive business impact by solving unique problems through advanced analytics, continuous improvement methodologies, and change management in a fast-paced ...

National Marrow Donor Program Inc

AI/ML Engineer

Minneapolis, MN · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The AI/ML Engineer will play a crucial role in the AI Center of Excellence (CoE), supporting cross ... Partner with data scientists, architects, product managers, business stakeholders and technical ...

AIToolboard

Senior AI-ML Engineer

Suitland, MD · On-site

$170 - $230/hr

... and manage AI/ML pipelines and tooling in cloud environments. • Integrate AI/ML models with ... existing enterprise and cloud-based systems to ensure seamless operations. • Apply advanced ...

CTIS, Inc.

AI/ML Solution Engineer

Rockville, MD

$140K - $180K/yr

Job Title : AI/ML Solution Engineer CTIS is on the lookout for an experienced AI/ML Solution ... Lead d manage cross-functional teams. * Provide technical guidance and support to internal teams ...

Bart and Associates, Inc

AI-ML Developer

Ashburn, VA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Drive a big data approach to execute government requirements to manage and enrich data to gather new insights. * Develop, train, and deploy advanced AI/ML models, including generative AI techniques ...

Accenture Federal Services

AI/ML Strategist

Arlington, VA · On-site

$139K - $180K/yr

... for AI/ML models, and implement access controls for model APIs and services. This person will ... Demonstrated expertise with responsible AI practices, model risk management, and regulatory ...

CTIS, Inc.

AI/ML Solution Engineer

Rockville, MD · On-site

$140K - $180K/yr

AI/ML Solution Engineer CTIS is on the lookout for an experienced AI/ML Solution Engineer to be a ... Lead d manage cross-functional teams. * Provide technical guidance and support to internal teams ...

Doist

Senior AI/ML Engineer

Arlington, VA · On-site

$140 - $210/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Define practices for model versioning, artifact management, reproducibility, feature engineering, and data lineage * Optimize AI/ML services and infrastructure for performance, scalability ...

2T Consulting

AI/ML Solution Architect

Tenafly, NJ · On-site

$67 - $88.25/hr

Support MLOps, model deployment, monitoring, and lifecycle management where required. * Mentor ... Strong experience in AI/ML Solution Architecture and Design. * Hands-on experience with Generative ...

New

2T Consulting

AI/ML Solution Architect

South Orange, NJ

$64.25 - $84.75/hr

Support MLOps, model deployment, monitoring, and lifecycle management where required. * Mentor ... Strong experience in AI/ML Solution Architecture and Design. * Hands-on experience with Generative ...

New

2T Consulting

AI/ML Solution Architect

Fairview, NJ · On-site

$70.25 - $92.50/hr

Support MLOps, model deployment, monitoring, and lifecycle management where required. * Mentor ... Strong experience in AI/ML Solution Architecture and Design. * Hands-on experience with Generative ...

New

2T Consulting

AI/ML Solution Architect

Bellerose, NY

$66.75 - $88/hr

Support MLOps, model deployment, monitoring, and lifecycle management where required. * Mentor ... Strong experience in AI/ML Solution Architecture and Design. * Hands-on experience with Generative ...

New

2T Consulting

$69 - $91/hr

Support MLOps, model deployment, monitoring, and lifecycle management where required. * Mentor ... Strong experience in AI/ML Solution Architecture and Design. * Hands-on experience with Generative ...

New

2T Consulting

AI/ML Solution Architect

Palisades Park, NJ

$62.75 - $82.50/hr

Support MLOps, model deployment, monitoring, and lifecycle management where required. * Mentor ... Strong experience in AI/ML Solution Architecture and Design. * Hands-on experience with Generative ...

New

2T Consulting

AI/ML Solution Architect

Staten Island, NY

$65.50 - $86.25/hr

Support MLOps, model deployment, monitoring, and lifecycle management where required. * Mentor ... Strong experience in AI/ML Solution Architecture and Design. * Hands-on experience with Generative ...

New

2T Consulting

AI/ML Solution Architect

Bronx, NY

$65.75 - $86.50/hr

Support MLOps, model deployment, monitoring, and lifecycle management where required. * Mentor ... Strong experience in AI/ML Solution Architecture and Design. * Hands-on experience with Generative ...

New

2T Consulting

AI/ML Solution Architect

Rutherford, NJ

$64.25 - $84.50/hr

Support MLOps, model deployment, monitoring, and lifecycle management where required. * Mentor ... Strong experience in AI/ML Solution Architecture and Design. * Hands-on experience with Generative ...

New

2T Consulting

AI/ML Solution Architect

Fresh Meadows, NY

$65.25 - $86/hr

Support MLOps, model deployment, monitoring, and lifecycle management where required. * Mentor ... Strong experience in AI/ML Solution Architecture and Design. * Hands-on experience with Generative ...

New

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Ai Ml Manager information

What is the difference between Ai Ml Manager vs Data Scientist?

AspectAi Ml ManagerData Scientist
Required CredentialsMaster's in CS, AI, or related field; experience in AI/ML projectsMaster's or PhD in Data Science, Statistics, or related field; strong programming skills
Work EnvironmentLeads AI/ML teams, manages projects, collaborates with stakeholdersAnalyzes data, builds models, interprets results, often works independently or in small teams
Employer & Industry UsageTech companies, AI startups, large enterprises implementing AI solutionsResearch institutions, tech firms, finance, healthcare, and other data-driven industries

The main difference is that an Ai Ml Manager oversees AI/ML projects and teams, focusing on strategy and implementation, while a Data Scientist primarily analyzes data and develops models. Both roles require strong technical skills, but the Ai Ml Manager has additional leadership and project management responsibilities.

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Ai Ml Manager jobs near you
Infographic showing various Ai Ml Manager job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 12% Part Time, and 1% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution.

AI/ML Engineer

National Marrow Donor Program

Minneapolis, MN • On-site

$105K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description


The AI/ML Engineer will play a crucial role in the AI Center of Excellence (CoE), supporting cross-functional teams across the organization. This position will focus on designing, developing and developing machine learning (ML), artificial intelligence (AI), Generative AI (GenAI) and Agentic AI solutions to address domain specific needs, improve user experiences and automate business workflows.
ACCOUNTABILITIES:
Engineering:
  • Work across diverse GenAI platforms like AWS, Salesforce, Oracle, Snowflake, MS Copilot, and other 3rd party GenAI platforms and libraries.
  • Automate workflows involving extraction of complex, multimodal unstructured content from variety of sources in to highly accurate and reliable structured content using platforms like AWS Textract and Bedrock
  • Design and build MCP hosts, clients and servers
  • Establish and use frameworks for automated LLM testing
  • Create regression test suites to detect drift or prompt breakage
  • Integrate with internal and external web services using secure authentication and authorization mechanisms
  • Adopt and ensure safe practices to protect against prompt injections, jailbreaks, and conform to enterprise security guidelines
  • Design, develop, and deploy production-grade traditional ML models (e.g., regression, classification, clustering, recommender systems) for a variety of business use cases.
  • Design, maintain, and optimize end-to-end AI/ML pipelines including data ingestion, training, evaluation, deployment, and monitoring on cloud infrastructure (e.g., AWS or equivalent)
  • Ensure AI/ML solutions are scalable, reliable, secure, and cost-effective within cloud environments
  • Create reusable components, frameworks, and best practices to accelerate AI development

Design and Innovation:
  • Design and develop GenAI solutions using prompt engineering, Context Engineering, Retrieval-Augmented Generation (RAG), and custom pipelines
  • Design and develop interoperable AI agents using Model Context Protocol (MCP) and/or Google A2A

Collaboration and Enablement:
  • Partner with data scientists, architects, product managers, business stakeholders and technical teams across organization to align AI solutions with organizational goals.
  • Provide hands-on technical support and mentorship to technical teams across the enterprise.

REQUIRED QUALIFICATIONS:
Knowledge of:
  • Machine learning algorithms, deep learning frameworks, Cloud AI technologies, GenAI technologies and emerging Agentic AI technologies.
  • Cloud platforms (e.g., AWS, Azure, GCP) for scalable AI/ML development.
  • Responsible AI principles, including bias mitigation and ethical deployment.
  • ML Ops best practices including CI/CD for ML, model monitoring, and versioning.

Ability to:
  • Build robust, scalable, and efficient AI/ML solutions in cloud-native environments.
  • Translate ambiguous business problems into clear, technical ML/AI tasks.
  • Communicate complex ideas clearly to technical and non-technical stakeholders.
  • Learn and adapt quickly to emerging AI technologies, techniques, and tools.

Education and/or Experience:
  • Bachelor's degree in computer science, Engineering, or related field.
  • 3+ years of experience designing and deploying ML/AI solutions in real-world environments in which time candidates will have created strong proficiency with the following:
    • Very strong Python skills with strong hands-on experience with LLM APIs (OpenAI, Azure OpenAI, Gemini, Anthropic, etc.) using Python and Python based frameworks
    • Strong hands-on experience in prompt engineering, context construction, grounding strategies
    • Strong hands-on experience with Retrieval Augmented Generation (RAG) extracting, chunking and create embeddings from unstructured documents from diverse sources including O365(email, word, excel), PDFs, and webpages.
    • Comfortable building Model Context Protocol (MCP) clients, servers and hosts.
    • Strong Expertise in building REST APIs and integrating with internal/external APIs
    • Hands-on experience with Intelligent Document Processing and/or OCR technologies on complex documents
    • Knowledge of Google A2A
    • Deep experience in AWS (Lambda, Bedrock, Step Functions, API Gateway, IAM)
    • Strong experience with Observability tools like Dynatrace, or other similar GenAI observability tools
    • Excellent GenAI foundations and concepts
    • Clear understanding of enterprise data privacy, AI governance, and observability
    • Proficiency in Python and common ML/AI libraries (e.g., TensorFlow, PyTorch, scikit-learn).
    • Strong understanding of data engineering, SQL, and feature engineering.
    • Hands-on experience with cloud services such as AWS Sagemaker, Lambda, ECS, S3, and IAM.
    • Familiarity with containerization (Docker) and orchestration (e.g., Airflow, Kubeflow).
    • Working with version control and collaboration tools (Git, Jira, Confluence etc).

PREFERRED QUALIFICATIONS: (Additional qualifications that may make a person even more effective in the role, but are not required for consideration)
  • Master's in a related technical field.
  • Hands-on experience with agentic AI frameworks.
  • Prior contributions to open-source AI/ML projects or published research.
  • AI/ML certifications from cloud providers
  • Experience in highly regulated industries (e.g., healthcare, finance) a plus.
    #LI-DNI

About the Team
NMDP offers regular, full-time employees medical, dental, vision, life and disability, accident/critical illness/hospital, well-being, legal, identity theft and pet benefits. Retirement, paid time off/holidays, leave and incentive plans are also offered to eligible employees. Please reference this link for more information: NMDP Benefit Information

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