1

Ai Ml Manager Jobs (NOW HIRING)

As an AI / ML Engineer, you will work closely with our ML and Data Engineers to turn Machine ... Solid understanding of Python deployment best practices, including dependency management, virtual ...

Project Manager (AI/ML) Location: Woodland Hills, CA (Day 1 Onsite) Job Type: Contract Required Skills (Must-have): * Project management - 10+ Yrs of Exp * AI/ML product deliveries or cloud-native ...

AI/ML Lead Charlotte, NC Onsite We are seeking an experienced AI/ML Lead to drive enterprise AI ... Strong understanding of data engineering, feature engineering, model lifecycle management, and ...

AI/ML Engineer

Minneapolis, MN · Remote

$106K - $131K/yr

AI/ML integration with Salesforce CRM (Einstein/Einstein GPT and external technologies like Python-based models or Azure/AWS ML services). 5. Generative AI Knowledge: Familiarity with transformers ...

AI/ML Strategist

Arlington, VA · On-site

$140K - $180K/yr

Responsibilities : • Implement and manage governance frameworks for AI/ML models, including model ownership, approvals, API access, and Tier‑4 governance support. • Ensure responsible AI ...

As the AI/ML Product Manager, you will own the AI/ML roadmap and therefore be accountable for identifying opportunities where artificial intelligence and machine learning can deliver meaningful value ...

As the AI/ML Product Manager, you will own the AI/ML roadmap and therefore be accountable for identifying opportunities where artificial intelligence and machine learning can deliver meaningful value ...

Manage model versions, artifacts, datasets, and feature-engineering workflows * Optimize AI/ML services and infrastructure for performance, scalability, reliability, and cost efficiency * Collaborate ...

NY · On-site

$150 - $210/hr

For managers, minimum five years of hands‑on developer experience in machine learning and artificial intelligence stacks * For Directors, at least two years of experience leading teams of AI/ML ...

AI/ML Engineering Manager

Milpitas, CA · On-site

$170K - $210K/yr

As AI/ML Engineering Manager, you will lead a team while staying hands-on as a technical contributor. You will architect and build AI/ML systems that directly affect how the business operates, engage ...

AI/ML Strategist

Arlington, VA

$139K - $180K/yr

The AI/ML Strategist will implement and manage governance frameworks for AI/ML models, including model ownership, approvals, API access, and Tier-4 governance support. Ensure responsible AI practices ...

As the AI/ML Product Manager, you will own the AI/ML roadmap and therefore be accountable for identifying opportunities where artificial intelligence and machine learning can deliver meaningful value ...

As the AI/ML Product Manager, you will own the AI/ML roadmap and therefore be accountable for identifying opportunities where artificial intelligence and machine learning can deliver meaningful value ...

The AI/ML Engineer collaborates closely with data scientists, dashboard teams, developers, and PMO leadership to ensure AI/ML models are usable, optimized, and appropriately embedded into mission ...

AI/ML Strategist

Arlington, VA · On-site

$140K - $180K/yr

Responsibilities : • implement and manage governance frameworks for AI/ML models, including model ownership, approvals, API access, and Tier‑4 governance support • ensure responsible AI ...

Manage model versions, artifacts, datasets, and feature-engineering workflows * Optimize AI/ML services and infrastructure for performance, scalability, reliability, and cost efficiency * Collaborate ...

AI/ML Engineering Manager

Milpitas, CA · On-site

$170K - $210K/yr

As AI/ML Engineering Manager, you will lead a team while staying hands-on as a technical contributor. You will architect and build AI/ML systems that directly affect how the business operates, engage ...

next page

Showing results 1-20

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.

More about Ai Ml Manager jobs
What cities are hiring for Ai Ml Manager jobs? Cities with the most Ai Ml Manager job openings:
What are the most commonly searched types of Ai Ml jobs? The most popular types of Ai Ml jobs are:
What states have the most Ai Ml Manager jobs? States with the most job openings for Ai Ml Manager jobs include:
Infographic showing various Ai Ml Manager job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution.

AI/ML Platform Admin

Donato Technologies, Inc

Baton Rouge, LA • On-site

Contractor

Re-posted yesterday


Job description

AI/ML Platform Admin
ML Engineer Advanced Analytics
 
Baton Rouge, LA
 

Travel- As per the demand from project aligning with C2H guidelines

Joining Location- Initial remote but resource should be ready to relocate to  Baton Rouge within one month upon asked to relocate.

 
Responsibilities / Areas of Expertise:
  • ML Infra:
    Azure ML, Managed Kubernetes, Storage, Databricks, and Key Vault

  • AI & ML Platform Services:
    KHAI API, OpenAI Document Intelligence

  • Compliance, Security and RBAC:
    IAM (Identity and Access Management)

  • Azure DevOps

  • ML Platform Usage & Monitoring

  • Cost Optimization, Upgrades & Patches, Automations