AI Product Developer

Hawthorne, CA, US

Systems Technology, Inc.

View company page

Description

What You’ll Do:

As an AI Product Engineer at STI, you will be a key player in the deployment and optimization of AI and Machine Learning models as part of a new product line related to training and assessment of eVTOL pilots. You will work closely with data scientists, software engineers, and product managers to ensure that our AI solutions are robust, scalable, and seamlessly integrated into our production environment.

  • Develop, deploy, and maintain production-quality Python code for AI and machine learning applications.
  • Collaborate with data scientists to train, evaluate, and fine-tune machine learning models, with a particular focus on reinforcement learning.
  • Design and implement scalable solutions for model deployment, monitoring, and optimization in a production setting.
  • Troubleshoot and resolve issues related to AI model performance, latency, and scalability.
  • Stay current with the latest advancements in AI/ML technologies and apply them to improve our systems.
  • Work in an agile development environment, contributing to sprint planning, stand-ups, and retrospectives.


Requirements

 What you Need:

  • 2-5 years of experience in deploying production-level Python code using frameworks such as Django.
  • Master’s degree or equivalent in Computer Science, Engineering, or a related field.
  • Proficiency with machine learning frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and OpenAI Gym.
  • Experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes).
  • Familiarity with CI/CD pipelines and tools (e.g., Jenkins, GitLab CI).
  • Hands-on experience with training and deploying machine learning models, ideally using reinforcement learning techniques.
  • Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders

Bonus Qualifications:

  • Experience with full stack technologies.
  • Knowledge of DevOps practices and infrastructure as cod (IaC).
  • Familiarity with data preprocessing and feature engineering for machine learning.

Compensation And Benefits: Systems Technology Inc. offers all employees competitive pay along with a benefits package encompassing the following and more:

  • Medical benefits (HMO – 100% company paid for Employees & Dependents)
  • Dental and vision plans
  • Employee Stock Ownership Plan (ESOP)
  • 401(k) Safe Harbor Retirement Plan and company defined contribution.
  • Flexible spending Accounts (FSA), Dependent Care, and Employee Assistance Program (EAP)
  • Life & Long-Term Disability Insurance
  • Fitness Program Reimbursement and Technology Stipends
  • Tuition Assistance Programs
  • Year-round company sponsored events.
  • Employee rewards and recognition

Please note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications.

At Systems Technology Inc. (STI) we aim to attract, retain, and motivate talent that possesses the skills and leadership necessary to grow our business. For this position we are targeting a base pay between $125,000 – $145,000. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

STI is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.  

Apply now Apply later
  • Share this job via
  • or
Job stats:  3  1  0

Tags: Agile AWS Azure CI/CD Computer Science DevOps Django Docker Engineering Feature engineering GCP GitLab Jenkins Kubernetes Machine Learning ML models Model deployment OpenAI Pipelines Python PyTorch Reinforcement Learning Scikit-learn TensorFlow

Perks/benefits: Career development Competitive pay Equity / stock options Fitness / gym Health care Insurance Salary bonus Team events

Region: North America
Country: United States

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.