Data Scientist / Machine Learning Engineer About TRABUS Technologies TRABUS Technologies (TRABUS ... Research, evaluate, select, and develop appropriate Machine Learning (ML) and Deep Learning (DL ...
Data Scientist / Machine Learning Engineer About TRABUS Technologies TRABUS Technologies (TRABUS ... Research, evaluate, select, and develop appropriate Machine Learning (ML) and Deep Learning (DL ...
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$35 - $53/hr
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Data Scientist (Applied Machine Learning)
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$110K - $140K/yr
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Machine Learning / Data Scientist
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Data Scientist Senior Location: Holtsville, NY - 11742 Duration: 6-12 Months Contract Onsite ... Technical Skills - Strong foundation in machine learning, deep learning, and AI frameworks ...
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... Deep understanding of statistical analysis, predictive modeling, feature engineering, model ... based data science and machine learning platforms • Experience designing scalable analytics ...
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Chantilly, VA · On-site
$165K - $210K/yr
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Senior Machine Learning Data Scientist
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Machine Learning Deep Learning Data Scientist information
See salary details
$37.5K - $52K
2% of jobs
$52K - $66.4K
3% of jobs
$66.4K - $80.9K
6% of jobs
$80.9K - $95.3K
9% of jobs
$100K is the 25th percentile. Wages below this are outliers.
$95.3K - $109.8K
15% of jobs
The median wage is $119.4K / yr.
$109.8K - $124.2K
22% of jobs
$132.2K is the 75th percentile. Wages above this are outliers.
$124.2K - $138.7K
32% of jobs
$138.7K - $153.1K
3% of jobs
$153.1K - $167.6K
4% of jobs
$167.6K - $182K
1% of jobs
$182K - $196.5K
2% of jobs
$37.5K
$122.7K
$196.5K
How much do machine learning deep learning data scientist jobs pay per year?
What cities are hiring for Machine Learning Deep Learning Data Scientist jobs?
Cities with the most Machine Learning Deep Learning Data Scientist job openings:
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Data Scientist / Machine Learning Engineer
San Diego, CA • On-site, Remote
Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Posted 29 days ago
Job description
About TRABUS Technologies
TRABUS Technologies (TRABUS) is a minority-owned, Service-Disabled Veteran-Owned Small Business (SDVOSB) headquartered in San Diego, California. Since 2010, TRABUS has provided advanced wireless technology solutions, cybersecurity expertise, artificial intelligence capabilities, and engineering support to federal and commercial clients.
Recognized on the Inc. 5000 list for seven consecutive years, TRABUS is a dynamic, forward-leaning organization committed to solving complex, real-world challenges and delivering mission-ready solutions that meet and exceed customer expectations.
Position Overview
TRABUS Technologies is seeking a highly motivated Data Scientist / Machine Learning Engineer to join our growing Artificial Intelligence and Data Science team.
In this role, you will combine machine learning, data science, and software engineering skills to support a variety of AI-based projects, including resource planning for ship maintenance, marine transportation, and climate and environmental informatics.
The successful candidate will develop machine learning models that provide predictive insights and analytics for robust, web-based, full-stack AI applications supporting both government customers - including the Department of Defense (DoD), Department of Transportation (DoT), and National Oceanic and Atmospheric Administration (NOAA) - and commercial customers.
Key Responsibilities
- Develop code to extract, clean, transform, and preprocess training datasets from disparate data formats, sources, and APIs.
- Research, evaluate, select, and develop appropriate Machine Learning (ML) and Deep Learning (DL) algorithms and models.
- Apply AI/ML techniques across diverse data domains, including Navy, transportation, environmental sciences, healthcare, and public safety.
- Collaborate with the TRABUS Data Science team to develop scalable AI solutions incorporating technologies such as:
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- Prompt Engineering
- Computer Vision
- Natural Language Processing (NLP)
- Work alongside AI/ML and DevOps engineers to develop automated AI workflows that continuously generate predictions and inferences.
- Develop validation and testing routines to measure model performance and evaluate the quality and accuracy of predictions.
- Analyze large datasets and data streams to identify patterns, trends, and actionable insights.
- Support the integration of machine learning models into web-based and full-stack AI applications.
- Collaborate with technical teams throughout the development, testing, integration, and deployment lifecycle.
Required Qualifications
- Minimum of 2 years of programming experience using Python.
- Completed coursework in Machine Learning, Deep Learning, Algorithm Design, and Data Science.
- Knowledge and experience with Python data science and machine learning libraries such as:
- Pandas
- scikit-learn
- Keras
- TensorFlow
- PyTorch
- Strong Python programming skills with the ability to process and analyze large datasets and data streams.
- Understanding of databases, data structures, and API-based ETL operations.
- Strong working knowledge of Linux or Unix-based operating systems.
- Familiarity with Python web frameworks such as FastAPI, Django, and Flask.
- Experience working with Git repositories and version control.
- Ability to work collaboratively within multidisciplinary technical teams.
- U.S. Citizenship is required.
- Must be able to obtain and maintain a final DoD-adjudicated Secret security clearance.
Desired Qualifications
- Current DoD-adjudicated Secret security clearance.
- Strong knowledge of DevOps tools, processes, and best practices.
- Experience working with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.
- Familiarity with Agile software development methodologies.
- Experience working within Agile development environments.
- Experience with Continuous Integration/Continuous Deployment (CI/CD) pipelines.
- Proficiency with Microsoft Office applications.
- Strong written and verbal communication skills.
- Strong attention to detail and commitment to procedural compliance.
- Ability to manage multiple responsibilities and priorities while meeting established deadlines.
Education
- Bachelor's degree in Computer Science, Computer Engineering, Data Science, or another related STEM discipline.
- Master's degree preferred.
Benefits
TRABUS Technologies offers a competitive compensation package and comprehensive employee benefits, including:
- Paid Time Off (PTO)
- Paid Holidays
- Health Insurance
- Dental Insurance
- Vision Insurance
- Flexible Spending Account (FSA)
- 401(k)
- Life and AD&D Insurance
Equal Employment Opportunity
TRABUS Technologies is an Equal Employment Opportunity Employer. We are committed to the principles of equal employment opportunity and will not discriminate against any employee or applicant for employment because of race, color, religion, sex, national origin, age, disability, veteran status, or any other status protected by applicable federal, state, or local discrimination laws.
About Trabus Technologies
Sourced by ZipRecruiter
Industry
Guided missile and space vehicle manufacturing
Company size
11 - 50 Employees
Headquarters location
San Diego, CA, US
Year founded
2010