A Nearshore DevOps & Software Outsourcing company that helps startups, SaaS, and enterprises with cutting-edge solutions
Kubernetes • Docker • Terraform • DevOps • AWS
11 - 50
September 17
A Nearshore DevOps & Software Outsourcing company that helps startups, SaaS, and enterprises with cutting-edge solutions
Kubernetes • Docker • Terraform • DevOps • AWS
11 - 50
• Collaborate on high-quality applications at a growing software consultancy. • Thrive in a fast-paced, dynamic work environment promoting continuous learning.
• Strong background in computer science or engineering with 3+ years of experience. • Knowledge of machine learning, deep learning, and natural language processing. • Experience with LLMs like GPT and LLama3. • Proficient in Python and familiar with TensorFlow or PyTorch. • Good problem-solving skills and ability to work independently and in a team. • Experience with AI voice programs/products. • Proficient in cloud services (AWS, Azure, Google Cloud) and container technologies (Docker, Kubernetes). • Strong communication skills for explaining technical ideas to various audiences. • Ability to manage product specifications from concept to production. • Understanding of software design principles, including optimization and performance tuning.
• Competitive salary and bonuses, including performance-based salary increases. • Generous paid-time-off policy • Technology / Office stipend • Health Coverage • Flexible working hours • Work remotely • Continuing education, training, conferences • Company-sponsored coursework, exams, and certifications
Apply NowSeptember 17
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Lead DevSecMLOps engineering team for a digital pharmacy.
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Develop and deploy machine learning models for K1x's data distribution platform.
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Develop machine learning models to assess creditworthiness for Affirm.
🇺🇸 United States – Remote
💵 $169k - $240k / year
💰 Post-IPO Equity on 2021-01
⏰ Full Time
🟠 Senior
🤖 Machine Learning Engineer
🗽 H1B Visa Sponsor
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