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Manager Spacex Machine Learning Jobs in Arizona (NOW HIRING)

... management process, from learning how and when a product is sold, what happens when it is received ... Gain experience and exposure to hand sewing and machine sewing projects. * Experience the art of ...

Deploy, manage, and monitor machine learning models on AWS using services such as Amazon SageMaker, AWS Lambda, Amazon ECS, Amazon EKS, and API Gateway. Build scalable model serving solutions for ...

Applying artificial intelligence, machine learning, and data engineering methods to cybersecurity ... Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment * Strong ...

AI Solutions Architect

Tempe, AZ · On-site

$60.25 - $79.50/hr

Leading sales, solution design, and delivery for artificial intelligence, machine learning, automation, and data-driven Human Capital engagements * Developing account growth strategies, managing ...

This role leverages predictive modeling, experimentation, machine learning, and workforce analytics ... Manage workforce data governance activities, including data validation, audits, compliance ...

This role leverages predictive modeling, experimentation, machine learning, and workforce analytics ... Manage workforce data governance activities, including data validation, audits, compliance ...

This role leverages predictive modeling, experimentation, machine learning, and workforce analytics ... Manage workforce data governance activities, including data validation, audits, compliance ...

Industry/Sector Not Applicable Specialism IFS - Information Technology (IT) Management Level ... Those in data science and machine learning engineering at PwC will focus on leveraging advanced ...

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Manager Spacex Machine Learning information

What is the difference between Manager Spacex Machine Learning vs Data Scientist Spacex?

AspectManager Spacex Machine LearningData Scientist Spacex
CredentialsAdvanced degrees in CS, ML, or related fields; leadership experienceDegree in CS, Data Science, or related fields; strong analytical skills
Work EnvironmentTeam leadership, project management, strategic planningData analysis, model development, experimentation
Industry UsageOversees ML teams, manages projects, aligns with business goalsBuilds models, analyzes data, provides insights

The main difference is that the Manager Spacex Machine Learning focuses on leading teams and managing ML projects, while the Data Scientist Spacex primarily develops models and analyzes data to support engineering and business decisions.

What are the most commonly searched types of Spacex Machine Learning jobs in Arizona? The most popular types of Spacex Machine Learning jobs in Arizona are:
What cities in Arizona are hiring for Manager Spacex Machine Learning jobs? Cities in Arizona with the most Manager Spacex Machine Learning job openings:
Sr. Director - AI, Machine Learning & Deep Learni

Sr. Director - AI, Machine Learning & Deep Learni

TEEMA

Tempe, AZ

Full-time

Re-posted 21 days ago


Job description

Job Title: Sr. Director – AI, Machine Learning & Deep Learning
Job ID: 85022
Location: Tempe, Arizona

What you will be doing:
  • Strategic Leadership: Define and execute the AI roadmap aligned with business objectives for OSAT manufacturing.
  • Solution Development: Lead the design and deployment of ML/DL models for predictive maintenance, defect detection, process optimization, and yield improvement.
  • Data Platform Integration: Collaborate with data engineering teams to build and maintain unified data platforms, ensuring seamless integration of AI solutions.
  • Technology Evaluation: Stay ahead of emerging AI technologies and assess their applicability to manufacturing environments.
  • Cross-Functional Collaboration: Work closely with operations, engineering, and IT teams to ensure AI solutions deliver measurable business impact.
  • Team Building: Recruit, mentor, and manage a high-performing AI team.
What you must have:
  • Education: Master’s or Ph.D. in Computer Science, Data Science, Electrical Engineering, or related field. 12+ years in AI/ML, with at least 5 years in leadership roles.
  • Proven track record of implementing AI solutions in manufacturing or industrial settings.
  • Expertise in ML/DL frameworks (TensorFlow, PyTorch, etc.).
  • Strong knowledge of data engineering and unified data platforms.
  • Working knowledge of Microsoft Fabric or similar technologies is a plus.
  • Excellent communication, strategic thinking, and stakeholder management abilities.

Thank you for your interest in this opportunity. If you are selected to move forward in the process, we will contact you directly. If you do not hear from us, we encourage you to continue visiting our website for other roles that may be a good fit.

For more information about TEEMA and to consider other career opportunities, please visit our website at www.teemagroup.com

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About Teema

Sourced by ZipRecruiter

TEEMA is an award-winning, industry-leading recruitment agency dedicated to building meaningful relationships across North America. We achieve this time after time by consistently sourcing, screening, managing and securing top talent tailored to employers’ specific needs. The team that makes this happen consists of hundreds of experienced professional recruiters backed by exceptional, tenured leadership and back-office support. No matter how unique or challenging your hiring needs may be or how misunderstood or undervalued your in-demand skills may be in your current role, we have you covered. Our primary objective is to provide an exceptional recruitment experience for our clients and candidates and an ecosystem that empowers our team to thrive.

Industry

Recruiting and staffing services

Company size

201 - 500 Employees

Headquarters location

Litchfield Park, AZ, US

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