Données et IA

Senior Python Developer/ML Engineer

PureLogics

Compte gratuit · connexion requise

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  • À distance — United States
  • Temps plein
  • Source : Himalayas
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Vous quitterez Emplois en Ligne. Source originale : Himalayas.

Description de l’emploi

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