Machine Learning Engineer- Python, PyTorch

• Posted 10 hours ago • Updated 10 hours ago
Contract W2
On-site
USD $30.00 - 32.00 per hour
Fitment

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Job Details

Skills

  • Startups
  • Optimization
  • Evaluation
  • Collaboration
  • Data Quality
  • Artificial Intelligence
  • Data Science
  • Python
  • Training
  • PyTorch
  • Machine Learning (ML)
  • Management
  • Unsupervised Learning
  • Data Manipulation
  • Pandas
  • NumPy
  • Analytical Skill
  • Problem Solving
  • Conflict Resolution
  • Life Insurance
  • Screening
  • Writing
  • Career Counseling
  • Recruiting
  • Law
  • Testing

Summary

Machine Learning Engineer - Python, PyTorch - Contract - Remote - $30.00 - $32.00/hr.

The final salary or hourly wage, as applicable, paid to each candidate/applicant for this position is ultimately dependent on a variety of factors, including, but not limited to, the candidate's/applicant's qualifications, skills, and level of experience as well as the geographical location of the position.

Applicants must be legally authorized to work in the United States. Sponsorship not available.

Our client is seeking a Machine Learning Engineer - Python, PyTorch in for a remote opportunity.

ROLE DESCRIPTION

We are seeking a Junior Machine Learning Engineer to support the development and deployment of machine learning models that advance the company's AI-driven initiatives. This is an excellent opportunity for an early-career engineer with strong Python skills and hands-on experience with PyTorch to work alongside experienced data scientists and engineers in a fast-paced startup environment.

Assist in the development, training, testing, and optimization of machine learning models.
Write clean, scalable code using Python and PyTorch.
Prepare, process, and validate large datasets for model training and evaluation.
Collaborate with data scientists and software engineers to implement AI solutions in production environments.
Monitor model performance and help troubleshoot issues related to data quality and model accuracy.
Document experiments, findings, and technical processes.

SKILLS & REQUIREMENTS

1-3 years of experience in machine learning, AI, data science, or a related technical field.
Strong proficiency in Python.
Hands-on experience building or training models with PyTorch.
Understanding of machine learning fundamentals, including supervised and unsupervised learning techniques.
Experience working with data manipulation libraries such as Pandas and NumPy.
Strong analytical and problem-solving skills.

Benefits/Other Compensation

Medical, Dental, Life Insurance, 401K.

Why Hays?

You will be working with a professional recruiter who has intimate knowledge of the industry and market trends. Your Hays recruiter will lead you through a thorough screening process in order to understand your skills, experience, needs, and drivers. You will also get support on resume writing, interview tips, and career planning, so when there's a position you really want, you're fully prepared to get it.

Nervous about an upcoming interview? Unsure how to write a new resume?

Visit the Hays Career Advice section to learn top tips to help you stand out from the crowd when job hunting.

Hays is committed to building a thriving culture of diversity that embraces people with different backgrounds, perspectives, and experiences. We believe that the more inclusive we are, the better we serve our candidates, clients, and employees. We are an equal employment opportunity employer, and we comply with all applicable laws prohibiting discrimination based on race, color, creed, sex (including pregnancy, sexual orientation, or gender identity), age, national origin or ancestry, physical or mental disability, veteran status, marital status, genetic information, HIV-positive status, as well as any other characteristic protected by federal, state, or local law. One of Hays' guiding principles is 'do the right thing'.
We also believe that actions speak louder than words.
In that regard, we train our staff on ensuring inclusivity throughout the entire recruitment process and counsel our clients on these principles. If you have any questions about Hays or any of our processes, please contact us.

In accordance with applicable federal, state, and local law protecting qualified individuals with known disabilities, Hays will attempt to reasonably accommodate those individuals unless doing so would create an undue hardship on the company. Any qualified applicant or consultant with a disability who requires an accommodation in order to perform the essential functions of the job should call or text .

Drug testing may be required; please contact a recruiter for more information.

#LI-DNI
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 80144310
  • Position Id: 1185320
  • Posted 10 hours ago
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