ZipRecruiter

Log In

1

Machine Learning Manager Jobs in Tulsa, OK (NOW HIRING)

Pwc

CTIO-AI Engineer-Sr Associate

Tulsa, OK

$55K - $187K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... manage and inspire others. Navigating increasingly complex situations, you are growing your ...

Deloitte

Finance Analytics & AI Manager

Tulsa, OK

One or more certifications in artificial intelligence, machine learning, Amazon Web Services ... Our Managers are expected to contribute to the firm's growth and development in a variety of ways.

Deloitte

Finance Analytics & AI Manager

Tulsa, OK

One or more certifications in artificial intelligence, machine learning, Amazon Web Services ... Our Managers are expected to contribute to the firm's growth and development in a variety of ways.

Meta

Critical Operations Manager

Tulsa, OK

$143K/yr

The Critical Operations Manager (COM) is responsible for the safe and effective operations ... Please note that Meta may leverage artificial intelligence and machine learning technologies in ...

Varsity Tutors

Business Analytics Tutor

Tulsa, OK · Remote

$40/hr

Ability to explain statistical modeling techniques, machine learning basics, and business intelligence dashboard design while preparing students for analytics roles and data-driven management ...

Utulsa

Research Associate

Tulsa, OK · On-site

... Management" project in the Department of Electrical & Computer Engineering and College of ... or machine learning (ML). About Us The University of Tulsa is a student-centered research ...

Pwc

ERP AI Engineering Lead - Senior Manager

Tulsa, OK

$124K - $280K/yr

... Machine Learning. Growing as a strategic advisor, you leverage your influence, expertise, and ... As a Senior Manager, you will own the end-to-end delivery of AI workstreams, leading and growing ...

Deloitte

Kinaxis Solution Architect Manager

Tulsa, OK · On-site

$57.50 - $75.75/hr

We modernize supply chains by implementing artificial intelligence, machine learning, and connected ... This role will manage solution delivery through a variety of activities including process design ...

Deloitte

Microsoft D365 F&O SCM Manager

Tulsa, OK

We modernize their supply chains using artificial intelligence, machine learning and connected ... Experience with D365 Manufacturing, advanced Warehouse Management * Familiarity with key ISV ...

Pwc

Google Cloud Architect - Senior Manager

Tulsa, OK · On-site

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Product Innovation Management Level Senior Manager ... Professional, Machine Learning Engineer Professional, Cloud DevOps Engineer Professional ...

next page

Showing results 1-20

People also search for

All JobsMachine Learning JobsMachine Learning Manager JobsMachine Learning Manager Jobs in Tulsa, OK

Machine Learning Manager information

See Tulsa, OK salary details

$44.2K

$70.8K

$102.3K

How much do machine learning manager jobs pay per year?

As of May 30, 2026, the average yearly pay for machine learning manager in Tulsa, OK is $70,839.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,200.00 and $80,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning Manager, and why are they important?

To thrive as a Machine Learning Manager, you need a robust background in machine learning algorithms, statistical analysis, and software engineering, typically supported by an advanced degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and project management platforms, along with experience in deploying ML systems, is essential. Strong leadership, communication, and strategic thinking skills set exceptional managers apart, enabling them to guide teams and align projects with business objectives. These skills are crucial to successfully leading technical teams, ensuring project delivery, and translating complex ML solutions into organizational value.

What are some of the main challenges a Machine Learning Manager faces when leading a team?

A Machine Learning Manager often navigates challenges such as balancing project deadlines with the need for thorough experimentation and research, ensuring clear communication between technical and non-technical stakeholders, and fostering collaboration among data scientists, engineers, and product teams. Additionally, managers must keep their team's skills current with rapidly evolving technologies while also addressing issues like data quality and model deployment in production environments. Successfully overcoming these challenges requires strong leadership, adaptability, and a deep understanding of both business objectives and technical intricacies.

What are Machine Learning Managers?

Machine Learning Managers are professionals responsible for leading teams that develop, implement, and maintain machine learning models and systems. They oversee data scientists, engineers, and other specialists, ensuring projects align with business goals and are delivered on time. Their role often involves coordinating cross-functional teams, managing project timelines, and staying current with the latest advancements in artificial intelligence and machine learning. Additionally, they may be involved in hiring, mentoring, and providing technical guidance to their team.
What are the most commonly searched types of Machine Learning jobs in Tulsa, OK? The most popular types of Machine Learning jobs in Tulsa, OK are:
What are popular job titles related to Machine Learning Manager jobs in Tulsa, OK? For Machine Learning Manager jobs in Tulsa, OK, the most frequently searched job titles are:
What job categories do people searching Machine Learning Manager jobs in Tulsa, OK look for? The top searched job categories for Machine Learning Manager jobs in Tulsa, OK are:
Machine Learning Manager jobs near you
Infographic showing various Machine Learning Manager job openings in Tulsa, OK as of May 2026, with employment types broken down into 67% Full Time, 23% Part Time, 3% Temporary, and 7% Contract. Highlights an 50% Physical, 5% Hybrid, and 45% Remote job distribution, with an average salary of $70,839 per year, or $34.1 per hour.
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Tulsa, OK • Remote

Other

Posted 7 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply