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Fall Machine Learning Co Op Jobs in Texas (NOW HIRING)

Junior Data Engineer (GCP Cloud Migrations)

Dallas, TX · On-site

$113K - $136K/yr

Machine Learning Implementation: Support the development and deployment of machine learning models ... Mod Op, LLC provides equal employment opportunities to all employees and applicants for employment ...

Industrial Operations Intern/Co-Op

Dallas, TX · On-site

$14.50 - $19.25/hr

Industrial Operations Intern/Co-op Position Summary The Industrial Operations Intern supports daily ... Learning Opportunities * Operations and production management * Process improvement and efficiency ...

Industrial Operations Intern/Co-Op

Dallas, TX · On-site

$14.50 - $19.25/hr

Industrial Operations Intern/Co-op Position Summary The Industrial Operations Intern supports daily ... Learning Opportunities * Operations and production management * Process improvement and efficiency ...

Lab Engineer Co-op Duration : 4 months Date : September - December Location : Dallas, TX ... A learning environment that fosters both personal growth and professional development - for your ...

Lab Engineer Co-op

Coppell, TX · On-site

$20.10 - $70.40/hr

Lab Engineer Co-op Duration : 4 months Date : September - December Location : Dallas, TX ... A learning environment that fosters both personal growth and professional development - for your ...

Industrial Operations Intern/Co-Op

Dallas, TX · On-site

$15 - $19.75/hr

Industrial Operations Intern/Co-op Position Summary The Industrial Operations Intern supports daily ... Learning Opportunities * Operations and production management * Process improvement and efficiency ...

Supply Chain Intern/Co-Op

Dallas, TX

$17.25 - $23.25/hr

Supply Chain Intern/Co-op - Position Summary As a Supply Chain Intern, you will support inventory ... Learning Opportunities Value stream mapping and process improvement implementation Inventory ...

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Fall Machine Learning Co Op information

See Texas salary details

$23.8K

$39.7K

$82K

How much do fall machine learning co op jobs pay per year?

As of Jun 30, 2026, the average yearly pay for fall machine learning co op in Texas is $39,673.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,300.00 and $42,900.00 per year, depending on experience, location, and employer.

Is 40 too late for data science?

For a Fall Machine Learning Co Op or similar data science roles, starting a career at age 40 is not too late. Many professionals transition into data science later in life, and skills such as programming, statistics, and machine learning can be developed through online courses and certifications regardless of age. Experience and continuous learning are valued in the field, making age less of a barrier.

What is a Fall Machine Learning Co Op job?

A Fall Machine Learning Co-Op is a temporary, typically full-time position for students or recent graduates to gain hands-on experience in applying machine learning techniques. These roles usually involve working with data, training models, and optimizing algorithms under the supervision of experienced engineers or researchers. They are offered during the fall semester and can last several months. Companies use these positions to provide practical learning opportunities and assess potential future hires.

Which 5 jobs will survive AI?

For a Fall Machine Learning Co Op, roles that require complex problem-solving, creativity, and human interaction—such as data scientists, AI specialists, software engineers, product managers, and user experience designers—are likely to persist despite AI automation. These jobs involve skills like critical thinking, domain expertise, and collaboration that are difficult for AI to replicate fully.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior machine learning engineer or AI research director, often involving advanced skills in deep learning, data analysis, and programming with tools like Python and TensorFlow. Such roles usually require extensive experience, a strong educational background, and may include leadership responsibilities or specialized expertise in cutting-edge AI technologies.

What can I expect from the day-to-day experience of a Fall Machine Learning Co Op?

As a Fall Machine Learning Co Op, you'll typically work with a team of data scientists and engineers on real projects that may involve data cleaning, model development, testing, and reporting insights. Your days might include collaborating in meetings, coding, analyzing data, and presenting findings to team members or supervisors. You'll receive mentorship from experienced professionals and have opportunities to participate in code reviews and brainstorming sessions. This structure helps you build technical skills, broaden your professional network, and gain a comprehensive understanding of how machine learning is applied in a business setting.

What are the key skills and qualifications needed to thrive in the Fall Machine Learning Co Op position, and why are they important?

To thrive as a Fall Machine Learning Co Op, you should have a solid background in programming (especially Python), statistics, and machine learning concepts, often supported by coursework or hands-on projects in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, and data analysis libraries such as pandas and scikit-learn is highly valued, while certifications in AI or data science can be a plus. Strong problem-solving skills, eagerness to learn, effective communication, and teamwork help you stand out in this role. These skills are crucial for contributing to real-world projects, collaborating with technical teams, and gaining valuable experience in a fast-paced, innovation-driven environment.

Which 3 jobs will survive AI?

For a Fall Machine Learning Co Op, roles that involve complex problem-solving, creativity, and human interaction are more likely to survive AI automation. These include jobs like data scientists, AI ethics specialists, and machine learning engineers, which require advanced technical skills, critical thinking, and domain expertise. Such roles are expected to remain in demand due to their reliance on nuanced judgment and continuous innovation.
What are popular job titles related to Fall Machine Learning Co Op jobs in Texas? For Fall Machine Learning Co Op jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Fall Machine Learning Co Op jobs in Texas look for? The top searched job categories for Fall Machine Learning Co Op jobs in Texas are:
What cities in Texas are hiring for Fall Machine Learning Co Op jobs? Cities in Texas with the most Fall Machine Learning Co Op job openings:
Infographic showing various Fall Machine Learning Co Op job openings in Texas as of June 2026, with employment types broken down into 32% Full Time, and 68% Part Time. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $39,673 per year, or $19.1 per hour.
Director, AI & Machine Learning

Director, AI & Machine Learning

FFF Enterprises, Inc.

Flower Mound, TX • On-site

$220K - $240K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 days ago


Job description

Why We Are - Who We Are: About FFF Enterprises
What We Do - https://www.fffenterprises.com/company/what-we-do.html
Position Summary
The Director of AI/ML leads the strategy, architecture, and delivery of enterprise artificial intelligence and robotic process automation (RPA) capabilities across the organization's data platform. This role is responsible for building and leading a team of AI engineers and automation developers delivering machine learning, generative AI, multi-agent systems, and intelligent automation solutions. The Director partners closely with Data Engineering, Reporting, and business teams to operationalize AI and automation capabilities using Databricks and Microsoft technologies. This role ensures solutions are scalable, secure, and governed while delivering measurable operational efficiency and business value.
Essential Functions and Duties
AI Strategy & Architecture Leadership
Lead the development and execution of enterprise AI and intelligent automation strategy.
Activities include:
  • Define and implement the enterprise AI architecture using Databricks AI capabilities.
  • Establish architectural standards for generative AI, machine learning models, and agent-based systems.
  • Design frameworks for multi-agent AI systems that support business workflows and decision-making.
  • Identify high-impact AI and automation opportunities across business units.
  • Align AI initiatives with the enterprise data platform and overall technology strategy.

AI Engineering & Automation Leadership
Build and lead a high-performing team responsible for delivering AI and intelligent automation solutions.
Activities include:
  • Lead, mentor, and develop a team of AI engineers, machine learning engineers, and automation developers.
  • Establish engineering standards and best practices for AI development and automation implementation.
  • Oversee the design, development, testing, and deployment of AI and automation solutions.
  • Coordinate work across AI engineering, data engineering, reporting teams, and business stakeholders.

Agentic AI & Generative AI Platforms
Lead the design and implementation of modern AI architectures including generative AI and agentic systems.
Activities include:
  • Implement multi-agent AI architectures for automation and operational decision support.
  • Deploy AI solutions leveraging Databricks capabilities including MLflow, vector search, and model serving.
  • Implement Retrieval Augmented Generation (RAG) architectures using governed enterprise data.
  • Lead adoption of conversational AI platforms including Databricks Genie and Microsoft Copilot integrations.

Intelligent Automation & RPA Leadership
Lead the robotic process automation (RPA) function within the department and drive enterprise automation initiatives.
Activities include:
  • Define the enterprise strategy for robotic process automation using Microsoft Power Automate.
  • Identify business processes suitable for automation and prioritize initiatives based on operational impact.
  • Oversee the design and development of automation workflows and automated business processes.
  • Integrate AI models and agent-based systems into automation workflows to enable intelligent decision-making.
  • Establish governance, monitoring, and reliability standards for automation solutions.
  • Collaborate with business units to streamline processes and reduce manual effort through automation.

AI Governance & Responsible AI
Ensure AI and automation solutions comply with enterprise governance, security, and compliance requirements.
Activities include:
  • Establish policies and standards for responsible AI and intelligent automation.
  • Ensure compliance with enterprise security, privacy, and data governance policies.
  • Implement evaluation frameworks to measure AI performance, accuracy, and reliability.
  • Maintain transparency and auditability of automated and AI-driven decisions.

Cross-Functional Collaboration
Partner with technology and business leaders to operationalize AI and automation capabilities.
Activities include:
  • Collaborate with Data Engineering teams to leverage curated enterprise data for AI solutions.
  • Partner with Reporting and Analytics teams to embed AI outputs into business insights and decision tools.
  • Work with business stakeholders to translate operational challenges into AI-enabled and automated solutions.
  • Communicate AI and automation capabilities, risks, and value to both technical and non-technical audiences.

Organizational & Professional Responsibilities
  • Adheres specifically to all company policies and procedures, Federal and State regulations, and laws.
  • Displays dedication to position responsibilities and achieves assigned goals and objectives.
  • Represents the Company in a professional manner and appearance.
  • Works effectively with co-workers, internal and external customers by sharing ideas constructively and addressing issues collaboratively.
  • Keeps stakeholders informed of work progress, timelines, and issues.
  • Complies with the policies and procedures stated in the Injury and Illness Prevention Program.
  • Ensures conduct is consistent with all Compliance Program Policies when engaging in company activities.
  • Performs other duties as assigned.

Education, Knowledge, Skills, and Experience
Required Education:
Bachelor's Degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field, or four (4) years relevant experience in lieu of degree.
Required Knowledge:
  • Advanced knowledge of artificial intelligence, machine learning, and generative AI technologies.
  • Knowledge of agent-based AI architectures and multi-agent systems.
  • Knowledge of robotic process automation (RPA) concepts and intelligent automation strategies.
  • Understanding of enterprise AI governance, security, and model lifecycle management.

Preferred Knowledge:
  • Familiarity with Microsoft Copilot platforms and conversational AI technologies.
  • Familiarity with Databricks AI platform capabilities including MLflow and vector search.
  • Knowledge of vector databases, embeddings, and semantic AI architectures.

Required Experience:
  • At least 10 years of experience in artificial intelligence, machine learning, automation, or related technical roles, including 5 years of leadership experience managing technical teams

Preferred Experience:
  • At least 12-15 years of progressive experience in AI engineering, machine learning engineering, intelligent automation, or enterprise data platform development.
  • Experience leading AI and automation initiatives using modern platforms such as Databricks, Microsoft Copilot, and Microsoft Power Automate is strongly preferred.

Required Skills:
  • Strong leadership and team management capabilities.
  • Expertise designing enterprise AI architectures and machine learning platforms.
  • Experience implementing generative AI and agent-based systems.
  • Experience with Databricks AI capabilities including MLflow and model serving.
  • Experience integrating AI capabilities with Microsoft Copilot platforms.
  • Strong strategic thinking and problem-solving abilities.
  • Excellent verbal and written communication skills.
  • Ability to translate business challenges into AI and automation solutions.

Preferred Skills:
  • Experience implementing robotic process automation using Microsoft Power Automate.
  • Experience with conversational AI platforms such as Databricks Genie.
  • Experience implementing multi-agent orchestration frameworks.
  • Experience integrating AI and automation systems with enterprise applications such as ERP, CRM, or logistics platforms.
  • Experience with AI-based video or image processing technologies.

Physical requirements
Vision, hearing, speech, movements requiring the use of wrists, hands and/or fingers. Must have the ability to view a computer screen for prolonged periods and the ability to sit for extended periods. Must have the ability to work the hours and days required to complete the essential functions of the position, as scheduled. The employee occasionally lifts to 20 lbs. and occasionally kneels and bends. Must have the ability to travel occasionally. Working condition include normal office setting.
Mental Demands
Learning, thinking, concentration and the ability to work under pressure, particularly during busy times. Must be able to pay close attention to detail and be able to work as a member of a team to ensure excellent customer service. Must have the ability to interact effectively with co-workers and customers, and exercise self-control and diplomacy in customer and employee relations' situations. Must have the ability to exercise discretion as well as appropriate judgments when necessary. Must be proactive in finding solutions.
Direct Reports
Yes or No
EEO/AAP Statement
FFF Enterprises and Nufactor are an equal opportunity employer and prohibits discrimination and harassment based on the following characteristics: race, color, religion, national origin, physical or mental disability, gender, age (40 years and over) qualified veteran and any other characteristic protected by state or federal anti-discrimination law covering employment. These categories are defined according to Government Code section 12920. The Company prohibits unlawful discrimination based on the perception that anyone has any of those characteristics or is associated with a person who has or is perceived as having any of those characteristics.
Acknowledgement
The above statements are intended to describe the general nature and level of work being performed by the incumbent assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties, and/or skills required of all personnel so classified.
The undersigned employee acknowledges receipt of the Job Description for the employee's position and understands the essential functions, responsibilities, and qualifications of the position. Furthermore, the employee acknowledges that this Job Description does not include all the essential functions of this position, and that these essential functions may change as deemed necessary by the manager.
To be considered for a position with FFF Enterprises, Inc, applicants must complete and sign the application.
Employee Benefits Available for FFF Enterprises Team Members
Employee benefits include:
  • Medical Insurance
  • Dental Insurance
  • Vision Discount Program
  • Vision Insurance Plan
  • Health Savings Account (HSA)
  • Flexible Spending Account (FSA)
  • Dependent Care Flexible Spending Account
  • Employee Assistance Program (EAP)
  • Group Life and AD&D
  • Voluntary Supplemental Life Insurance Plans
  • Short Term Disability
  • Long Term Disability Income Protection
  • 401k Profit Sharing Retirement Plan - Discretionary Match
  • Discretionary Bonus
  • Supplemental Insurance Plans
  • Prepaid Legal/Identity Theft Plan
  • Paid Holidays/Vacation/Sick Days
    • Seven (7) Paid Holidays, Two (2) Week Vacation, Five (5) Sick Days, and One (1) Float Day for CA, NC, and TX
      All Other States Receive One Hundred Twenty (120) Hours of PTO
  • Tuition Reimbursement Program
  • Notary Services
  • Employee Referral Bonus
  • Vendor Discount Programs
  • Corporate Individual Travel Program

(Note: We comply with the ADA and consider reasonable accommodation measures that may be necessary for eligible applicants/employees to perform essential functions. Hire may be subject to passing a medical examination, and to skill and agility tests.)