drjobs Machine Learning Engineer

Machine Learning Engineer

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1 Vacancy
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Job Location drjobs

San Diego, CA - USA

Yearly Salary drjobs

$ 120000 - 140000

Vacancy

1 Vacancy

Job Description

Benefits:
  • 401(k)
  • Competitive salary
  • Dental insurance
  • Health insurance
  • Paid time off
  • Vision insurance
iQuasar is seeking to fill the Machine Learning Engineer role in San Diego CA. At iQuasar we strive to provide the next generation of cutting-edge technologies. Our growth means exciting career opportunities for talented professionals in engineering software development and other key areas. We offer competitive compensation and benefits including Health Vision and Dental Insurance a matching 401 (k) plan and other benefits given below excellent training and a vibrant working environment. Our employees are exceptional giving us a competitive advantage by innovating solutions with a strong sense of mission and integrity.

One of our clients in San Diego CA needs a Machine Learning Engineer for a full-time position.

  • Position: Machine Learning Engineer
  • Location: San Diego CA
  • Position Type: Full-time position
  • Clearance: Secret
Job Description:
We have 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 soware 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.

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
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
DESIRED:
  • 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
  • US Citizenship required
EDUCATION:
BS in Computer Science Data Science Statistics or a related field

BENEFITS:
  • Paid Time Off
  • Holidays
  • Health Insurance
  • Dental Insurance
  • Vision Insurance
  • Flexible Spending Account
  • 401(k)
  • Life AD&D
US citizenship and a final DoD adjudicated Secret Clearance





Employment Type

Full-Time

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