Senior Python Developer/ML Engineer
Remote · United States
Source: Himalayas. This job was published on Himalayas; you apply there.
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Estimated pay
Estimate$187K–$247K/yr
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Based on 160 similar senior Data Science & ML jobs in United States that show pay. The range is the middle half of their posted pay (25th to 75th percentile), not an offer — ask the employer for the real range.
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- Education
- No degree required
- Benefits mentioned
- Flexible hours
Skills mentioned
About the role
Senior Python Developer with ML Expertise
Are you a passionate Python developer with a knack for machine learning? Selekit is on the hunt for a talented individual to join our innovative team remotely from anywhere in the USA. We're building cutting-edge solutions that drive real impact, and we need your expertise to take our ML projects to the next level!
Role Overview:
- Develop and implement machine learning models using Python to solve complex problems.
- Collaborate with cross-functional teams to integrate ML algorithms into production systems.
- Optimize code for performance, scalability, and reliability in a remote setup.
- Contribute to the full ML lifecycle, from data preparation to deployment and monitoring.
This is a fully remote position tailored for US-based candidates, with flexible hours to support work-life balance.
What We're Looking For:
- 4+ years of hands-on experience in machine learning, with a strong portfolio of Python-based projects.
- Excellent proficiency in ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Solid understanding of data structures, algorithms, and software engineering best practices.
- Willingness to work in a remote environment, with strong communication skills for virtual collaboration.
- Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience).
- Bonus: Experience with cloud platforms (e.g., AWS, GCP) or big data tools.
What We Offer:
- Competitive salary and benefits package.
- Fully remote work with flexible scheduling.
- Opportunities for professional growth, including training and conferences.
- A supportive team culture that values diversity and innovation.
If you're ready to bring your ML expertise to a forward-thinking company, we'd love to hear from you!
Originally posted on Himalayas