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Part Time Tensorflow Jobs in St Louis, MO (NOW HIRING)

Part Time Tensorflow information

See St Louis, MO salary details

$36.5K

$119.3K

$191K

How much do part time tensorflow jobs pay per year?

As of Aug 15, 2026, the average yearly pay for part time tensorflow in St. Louis, MO is $119,330.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,800.00 and $132,200.00 per year, depending on experience, location, and employer.

What is a part time TensorFlow developer?

Part-time TensorFlow jobs are positions that involve working with the TensorFlow machine learning framework on a reduced or flexible schedule, rather than full-time hours. These roles may include tasks such as developing, training, and deploying machine learning models, often for specific projects or short-term needs. Part-time TensorFlow jobs are ideal for students, freelancers, or professionals seeking flexible work arrangements while applying their expertise in artificial intelligence and deep learning.

What are some common challenges faced by part time TensorFlow developers, and how can they overcome them?

Part-time TensorFlow developers often face challenges such as staying up-to-date with rapid advancements in machine learning, managing time effectively to meet project deadlines, and integrating their work with full-time team members. To overcome these, it’s helpful to maintain clear communication with the team, prioritize continuous learning through online resources, and use collaborative tools like Git for version control. Additionally, participating in regular code reviews and team meetings ensures alignment and smooth integration of your contributions.

What are the key skills and qualifications needed to thrive as a part time TensorFlow developer?

To excel as a Part-Time TensorFlow Developer, you need a solid grounding in Python programming, mathematics, and machine learning principles, often demonstrated by a relevant degree or coursework. Familiarity with TensorFlow, Keras, and tools like Jupyter Notebook or Git is typically required, and certifications in TensorFlow or related AI technologies are advantageous. Strong problem-solving, time management, and clear communication skills help you deliver quality results efficiently, especially in a part-time capacity. These competencies ensure effective model development and deployment, as well as smooth collaboration on distributed or flexible teams.

What are popular job titles related to Part Time Tensorflow jobs in St. Louis, MO?

For Part Time Tensorflow jobs in St. Louis, MO, the most frequently searched job titles are:

What cities near St. Louis, MO are hiring for Part Time Tensorflow jobs?

Cities near St. Louis, MO with the most Part Time Tensorflow job openings:

Infographic showing various Part Time Tensorflow job openings in St. Louis, MO as of August 2026, with employment types broken down into 1% Internship, 88% Full Time, 5% Part Time, and 6% Contract. Highlights an 77% Physical, 3% Hybrid, and 20% Remote job distribution, with an average salary of $119,330 per year, or $57.4 per hour.

Part-time Faculty - Health Data Science & AI

Saint Louis University

Saint Louis, MO

Part-time

Re-posted 10 days ago


Saint Louis University rating

8.9

Company rating: 8.9 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

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Job description

Who is Saint Louis University? Founded in 1818, Saint Louis University is one of the nation's oldest and most prestigious Catholic universities. SLU, which also has a campus in Madrid, Spain, is recognized for world-class academics, life-changing research, compassionate health care, and a strong commitment to faith and service.

Adjunct Assistant/Associate Professor - Health Data Science and Artificial Intelligence Applications in Medicine

Department of Health and Clinical Outcomes Research
Saint Louis University School of Medicine

Position Summary

The Department of Health and Clinical Outcomes Research at Saint Louis University School of Medicine invites applications for Adjunct Assistant or Associate Professorpositions to teach graduate-level courses and mentor students in applied health data science and artificial intelligence in medicine.

Primary Responsibilities

Adjunct faculty will teach one or more of the following courses or related electives within the Department's data science and AI curriculum:

  • Privacy, Ethics, Regulation & Policy

  • Introduction to Artificial Intelligence

  • Predictive Modeling and Machine Learning

  • Image Processing and Deep Learning

  • Bioinformatics & Biomedical / Clinical Data Analysis Natural Language Processing and Large Language Models

  • Reinforcement Learning for Clinical Decision Making

  • Telehealth & Telemedicine

  • AI for Precision Medicine & Genomics & Diagnostics

  • Research in Medicine

Additional responsibilities include:

  • Develop and deliver engaging, practice-based course materials.
  • Mentoring students on applied research and analytics projects using real-world datasets.
  • Collaborating with program leadership to ensure content quality, alignment with learning objectives, and current best practices in AI and health data analytics.
  • Participating in departmental meetings or student events, as appropriate for adjunct appointments.

Qualifications

Required:

  • Ph.D. or equivalent terminal degree in Health Data Science, Biomedical Informatics, Computer Science, Biostatistics, or a related field.

  • Demonstrated expertise in one or more areas of artificial intelligence, data science, or computational health analytics.

  • Proficiency with relevant tools and languages (e.g., Python, R, SQL, TensorFlow, PyTorch, SAS).

  • Strong communication skills and a commitment to high-quality, student-centered graduate teaching.

Preferred:

  • Experience teaching graduate courses in AI, data science, or health informatics.

  • Applied or research experience involving AI deployment in healthcare, biomedical, or clinical contexts.

  • Familiarity with regulatory, ethical, and equity considerations in digital health and AI.

  • Record of scholarly or professional contributions in data-driven healthcare innovation.

Appointment Details

  • Type:Adjunct, non-tenure track

  • Rank:Assistant or Associate Professor (commensurate with qualifications)

  • Location:Saint Louis University School of Medicine (in-person, hybrid, or online options available)

  • Start Date:Ongoing recruitment for upcoming academic terms

Application Instructions

Interested applicants should submit:

  • A cover letter outlining teaching interests and relevant experience

  • Curriculum vitae (CV)

  • Contact information for three professional references

Applications will be reviewed on a rolling basis until positions are filled.

Function

Faculty - Adjunct

Scheduled Weekly Hours:

20

Saint Louis University is an equal opportunity/affirmative action employer. All qualified candidates will receive consideration for the position applied for without regard to race, color, religion, sex, age, national origin, disability, marital status, sexual orientation, military/veteran status, gender identity, or other non-merit factors. If accommodations are needed for completing the application and/or with the interviewing process, please contact Human Resources at 314-977-5847.


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