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Remote Data Scientist Machine Learning Jobs in New Mexico

Python Tutor

Albuquerque, NM · Remote

$18 - $40/hr

... Python to machine learning, web scraping, scientific computing, and DevOps applications ... data science, software development, or academic computing work. * Effective Teaching Methods:

Senior AI Systems Engineer

Albuquerque, NM · On-site +1

$95K - $130K/yr

... to AI or machine learning. * Experience integrating AI models into scientific workflows ... This position may be performed fully remote, hybrid, or onsite at an ARA office. Preference will be ...

Senior AI Technologist

Albuquerque, NM · On-site +1

$50.50 - $65/hr

Experience preparing and transforming data for analytics, machine learning, search, or AI-enabled ... Experience supporting scientific, engineering, defense, or national security-related data ...

... data science, engineering, and advanced mathematics. * Conceptual Teaching & Problem-Solving ... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction:

Showing results 21-40

Remote Data Scientist Machine Learning information

What does a remote data scientist specializing in machine learning do?

A Remote Data Scientist specializing in Machine Learning uses advanced statistical techniques and programming skills to analyze large datasets and build predictive models, all while working from a remote location. They design, develop, and deploy machine learning algorithms to solve business problems, such as forecasting trends or automating processes. Their work often involves data cleaning, feature engineering, model selection, and collaborating with cross-functional teams to integrate these models into products or services. Remote data scientists typically use tools like Python, R, and cloud-based platforms to perform their tasks efficiently.

What is the difference between Remote Data Scientist Machine Learning vs Remote Data Scientist?

AspectRemote Data Scientist Machine LearningRemote Data Scientist
Required CredentialsMaster's or PhD in Data Science, Computer Science, or related field; experience with ML frameworksSimilar educational background; may focus more on statistical analysis and data visualization
Work EnvironmentPrimarily involves developing ML models, coding in Python/R, and deploying algorithmsFocuses on data analysis, reporting, and insights generation, often with less emphasis on ML deployment
Employer & Industry UsageUsed in tech, finance, healthcare for predictive modeling and automationCommon across various industries for data analysis and business intelligence

While both roles require strong analytical skills and similar educational backgrounds, Remote Data Scientist Machine Learning specializes in developing and deploying machine learning models, whereas Remote Data Scientist focuses more on data analysis and reporting. The ML role often involves coding and algorithm development, making it more technical in nature.

How do remote data scientists specializing in machine learning typically collaborate with cross-functional teams?

Remote data scientists in machine learning often work closely with product managers, engineers, and business analysts through virtual meetings, collaborative platforms, and shared documentation tools. They regularly participate in sprint planning, code reviews, and brainstorming sessions to ensure alignment with project goals. Effective communication and proactive updates are essential for overcoming the challenges of remote collaboration and maintaining project momentum. Building strong relationships with team members across different time zones helps foster innovation and ensures that machine learning solutions are well-integrated into broader business objectives.

What are the key skills and qualifications needed to thrive as a remote data scientist specializing in machine learning?

To excel as a Remote Data Scientist in Machine Learning, you need a solid background in statistics, programming (typically Python or R), and a degree in computer science, mathematics, or a related field. Familiarity with tools and frameworks such as TensorFlow, scikit-learn, PyTorch, and experience with cloud platforms like AWS or Azure are often required, along with relevant certifications. Strong problem-solving skills, effective communication, and the ability to work independently are crucial soft skills for remote collaboration and translating insights for diverse stakeholders. These competencies ensure the development of robust models, clear communication of findings, and successful project delivery in a distributed work environment.
What are popular job titles related to Remote Data Scientist Machine Learning jobs in New Mexico? For Remote Data Scientist Machine Learning jobs in New Mexico, the most frequently searched job titles are:
What job categories do people searching Remote Data Scientist Machine Learning jobs in New Mexico look for? The top searched job categories for Remote Data Scientist Machine Learning jobs in New Mexico are:
Infographic showing various Remote Data Scientist Machine Learning job openings in New Mexico as of August 2026, with employment types broken down into 79% Full Time, and 21% Contract. Highlights an 25% In-person, and 75% Remote job distribution.

Artificial Intelligence and Machine Learning Adjunct Instructor

California Institute of Applied Technology

Florida, NM • Remote

Part-time

Posted 21 days ago


Job description

Job Title: Artificial Intelligence and Machine Learning Adjunct Instructor

Schedule - Class schedule works well even if you already have a daytime job.

Work from Home (WFH) - Remote work must be performed while residing in California, New Mexico, Florida or Massachusetts

CIAT Campus Locations: San Diego, CA and Albuquerque, NM

Reports to: Associate Dean - Cloud Administration Program

Status: Non-Exempt

Employment Type: Variable-Hour (Part-Time)


Are you passionate about positively changing the lives of others? California Institute of Applied Technology (CIAT) is growing and seeking educators and professionals with a passion for mentoring others. If this is you, please contact us! CIAT prepares students for professional success by offering practical training in today's most competitive technology fields to make sure students are job ready. With a large selection of courses, flexible schedules, and an online campus, we aim to empower the working student. We are laser-focused on student success, whether just starting out, making a career change, or transitioning into civilian life, CIAT prepares students for success!

Essential Duties and Responsibilities:

Teaching:
  • Available to teach synchronous online courses via Microsoft Teams
  • Plan and organize instruction in ways that maximize student learning and engagement
  • Modify, where appropriate, instructional methods and strategies to meet diverse student's needs
  • Employ appropriate teaching and learning strategies to communicate subject matter to students via a synchronous online format (Microsoft Teams)
  • Current certifications in subjects taught

Mastery of Subject Matter:

  • Demonstrate a thorough and accurate knowledge of their field or discipline
  • Connect their subject matter with related fields
  • Stay current in their subject matter through professional development, through involvement in professional organizations, and attending professional meetings, conferences, or workshops

Adhering to College Policies and Procedures:

  • Ensure Student Database is fully updated and accurate at all times regarding student grade record information
  • Maintain compliance with accreditation related to instructional and the quality of education, scheduled class hours requirements and CIAT policies and procedures
  • Promote collaboration with other staff members and participate in the implementation of new projects, ideas, etc.
  • Adhere to the CIAT business casual attire. Please refer to the CIAT Employee Handbook for the complete policy. Clothing should be neat, clean, and without rips and holes. We can accommodate polo shirts
Requirements
  • Information Technology Instructors must provide official transcripts of bachelor's (or higher) degree and active/current certification on the subject being taught
  • General Education Instructors must provide official transcripts of bachelor's and master's (or higher) degrees that include at least 18 units on the subject being taught
  • At least three years' experience in the respective field OR two years of teaching experience
  • Advanced subject matter expertise preferred in the following areas: Python programming and data science libraries (NumPy, Pandas, Matplotlib, Scikit-learn), AI/ML fundamentals (supervised/unsupervised learning, NLP, and gen AI concepts), and familiar with Azure AI services and/or other cloud-based AI platforms (e.g. AWS, Google Cloud)
  • Synchronous online teaching experiece preferred
  • Effective presentation skills
  • High level of flexibility, creativity, and dependability
  • Good working knowledge of MS Office applications including Microsoft Teams Word, Excel, and PowerPoint as well as learning technologies such as Canvas
  • Work independently with minimal supervision
  • Ability to multitask
  • Problem solves rapidly and effectively, in a timely manner
  • Works with a sense of urgency, while engaging and listening to coworkers from other departments
  • Ability to work collaboratively with colleagues, academic departments, and administration to support student success, achieve institutional goals and contribute to a positive and inclusive culture
  • Commitment to fostering an inclusive and supportive learning environment that respects the diversity of students' backgrounds, experiences, and perspectives
  • Knowledge of current trends, best practices, and didactic approaches in higher education
  • Demonstrated ability to deliver engaging and effective lesson plans that meet the diverse needs of students
  • Strong communication skills, both verbal and written, with the ability to effectively convey information and interact with students, colleagues, and others
  • Compliance with all college policies, procedures, and regulations, including those related to academic integrity, student conduct, and instructional delivery
  • Adhere to CIAT's compliance requirements to ensure all Federal, State, accreditation, and institutional policies and procedures are being met
  • Follow communication guidelines to ensure high levels of customer satisfaction and professionalism
  • Must be able to embody CIAT's mission, vision, purpose and values

Position Type and Expected Hours of Work

This is a variable hour position. Days and hours of work are usually Monday through Friday, but weekend and evening hours are required. Live classes are scheduled twice a week (Monday and Tuesday) from 6:00pm-9:30pm (Pacific Time).


Supervisory Responsibility

This position has no supervisory responsibilities.


Values

Values such as integrity, excellence, customer service, teamwork and mutual respect are some of those that remain constant, regardless of changes in our company. When identifying company values, it is important that those values are being demonstrated in the course of business each day. Our values set expectations for how employees and managers interact with every person while representing the company.

  • We are passionate about education and student success
  • We value integrity and excellence in our employees and students
  • We treat ourselves and our students with dignity and respect
  • We believe in and encourage innovation at our school to better help our students succeed
  • We have a customer centric focus and we want people highly committed to achieving goals, where our success equals student's success
  • We are accountable for our actions and focus on improvements moving forward
  • We have a growth mindset with a sincere belief that every student can do better and achieve their goals
  • We expect every employee to be an example of conduct and professionalism, being a role model to students and colleagues
  • We commit to an inclusive and supportive learning environment that respects the diversity of students' backgrounds, experiences, and perspectives
  • We foster lifelong learning and professional development

Physical Demands

These physical demands are representative of the physical requirements necessary for an employee to successfully perform the essential functions of the job. Reasonable accommodation can be made to enable people with disabilities to perform the described essential functions:

  • Essential functions of this role require sitting for extended periods of time
  • Ability to type, use a computer to search for information and input information while speaking on the phone is required
  • The employee will frequently be required to use the computer, mouse and telephone to conduct the regular tasks of this role
  • The employee will be required to compute simple to simple mathematical calculations as a normal part of this role

Work Environment

While performing the responsibilities of this remote position, the job holder will work in a home office environment. Reasonable accommodation may be made to enable people with disabilities to perform the essential functions of the job. This role routinely involves using standard office equipment such as computers, phones, and virtual communication tools. Employees are expected to ensure that their home office is a safe and ergonomic working environment.

Employees must maintain data security and confidentiality in accordance with company policies and use secure connections for all work-related activities. Expectations regarding work hours, availability, and time tracking will be clearly communicated and must be adhered to.

The company is not responsible for maintaining home office environments beyond the provision of reasonable accommodation and necessary work-related equipment. Workers' compensation and liability for injuries that occur in the home office will be covered as per company policy and applicable laws.

This remote work policy is designed to comply with all relevant local, state, and federal laws.


AAP/EEO Statement

California Institute of Applied Technology provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, California Institute of Applied Technology complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

California Institute of Applied Technology expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of California Institute of Applied Technology's employees to perform their job duties may result in discipline up to and including discharge.

California Institute of Applied Technology California Institute of Applied Technology California Institute of Applied Technology.


Other Duties

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time, with or without notice.