Senior AI/ML Engineer - TensorFlow, Python & Java (On-site)

Erias Ventures, LLC

Annapolis (MD)

On-site

USD 225,000 - 245,000

Full time

14 days+

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Benefits offered by this job

Above Market Pay
Roth 401k
Spot Bonuses
Development Bonuses
Medical Coverage
Vision & Dental
Disability & Life
Wellness Reimbursement
Paid Time Off
Flexible Work
Birthday Off
Amazon Prime
Internet Reimbursement
Equipment Allowance
Company Events
Swag
Professional Development

Job summary

Erias Ventures, LLC in Annapolis Junction, MD is seeking an AI/ML Engineer to design, implement, and deploy scalable ML solutions for mission-critical challenges. You will select data sets, run ML algorithms, and translate prototypes into production systems, collaborating with cross-disciplinary teams.

Candidates should have a Master's or PhD in a related field, at least five years of ML experience, and hands-on experience with PyTorch and TensorFlow.

Qualifications

  • Master's or PhD in AI, data science, CS or math.
  • Five years ML experience in similar scope.
  • Experience with ML frameworks PyTorch and TensorFlow.

Responsibilities

  • Select appropriate data sets
  • Perform statistical analysis
  • Run machine learning algorithms
  • Use results to improve models
  • Train and retrain systems when needed
  • Research and implement a broad range of AI/ML algorithms and tools
  • Design or select data and knowledge representation methods
  • Verify data and model output quality

Skills

ML experience
Python
Java
C
R
Five years ML

Education

Master's or PhD in a related field

Tools

PyTorch
TensorFlow

Job description

Erias Ventures, LLC in Annapolis Junction, MD is seeking an AI/ML Engineer to design, implement, and deploy scalable ML solutions for mission-critical challenges. You will select data sets, run ML algorithms, and translate prototypes into production systems, collaborating with cross-disciplinary teams.

Candidates should have a Master's or PhD in a related field, at least five years of ML experience, and hands-on experience with PyTorch and TensorFlow.

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