Machine Learning Engineer  (Entry Level)

Trabus Technologies • San Diego, CA

291d • $85,000 - $95,000

About The Position

TRABUS has an opportunity for a highly motivated Machine Learning Engineer to join our dynamic team. As a leading provider of solutions in artificial intelligence and wireless technologies, we are committed to solving real-world problems through technical innovation. In this role, you will leverage your knowledge of machine learning algorithms and software engineering to contribute to diverse AI-based projects related to resource planning for ship maintenance, marine transportation and climate/environmental informatics. Work will involve developing machine learning based models to deliver predictive insights and analytics for robust web-based full-stack AI applications. The AI applications will span projects across both government (DoD, DoT, NOAA etc.) and commercial domains.

Requirements

• 2+ years of programming experience in Python
• Completed coursework in Machine Learning, Deep Learning, Algorithm Design, and Data Science
• Knowledge of Python libraries - Pandas, scikit-learn, Keras, Tensorflow, and/or PyTorch
• Good understanding of databases and API-based data ETL operations
• Strong knowledge of Linux or Unix-like OS
• Excellent coding skills in Python, ability to handle and analyze large data sets/streams, and familiarity with web frameworks such as Django and Flask
• Experience in handling git repositories

Nice To Haves

• Strong knowledge of DevOps tools and practices
• Experience working with cloud platforms such as AWS, Azure, or Google Cloud
• Familiarity with agile development methodologies and continuous integration/continuous deployment (CI/CD) pipelines
• Must be proficient in MS Office Applications
• Must have strong written and oral communication skills
• Must demonstrate attention to detail, procedural compliance, and the ability to manage multiple duties simultaneously while meeting deadlines
• Ability to obtain a security clearance or have one already

Responsibilities

• Write code to extract and pre-process training data sets, handling disparate data formats and APIs
• Research, select, and develop appropriate ML/DL algorithms and models to tackle AI problems across disparate data domains (Navy, Transportation, Environmental Sciences, Healthcare, Public Safety etc.)
• Work with TRABUS Data Science team to deliver scalable AI solutions involving LLMs, RAG, prompt engineering, computer vision and NLP tools.
• Work alongside other AI/ML and DevOps engineers in establishing automated AI workflows that continuously provide inferences/predictions
• Develop validation and test routines to measure and evaluate the quality of predictions

Benefits

• Paid Time Off
• Holidays
• Health Insurance
• Dental Insurance
• Vision Insurance
• Flexible Spending Account
• 401(k)
• Life AD&D

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Industry: Professional, Scientific, and Technical Services
• Education Level: Bachelor's degree