ML Engineer (AI)

TL;DR

ML Engineer (AI): Design, develop, and deploy scalable ML services, architect and implement AI/ML solutions, ensuring model quality, governance, and security. Focus on optimizing ML workflows for performance and cost efficiency on cloud platforms and staying up-to-date with emerging trends and technologies in the AI/ML field.

Location: Remote

Company

Coherent Solution expands Generative AI and Computer Vision capabilities.

What you will do

• Lead the design, development, and deployment of scalable ML services.
• Architect and implement AI/ML solutions, ensuring model quality, governance, and security.
• Optimize ML workflows for performance and cost efficiency on cloud platforms (AWS, Azure, or GCP).
• Collaborate with data scientists, analysts, and business stakeholders to understand ML requirements.
• Mentor and guide junior engineers, promoting best practices in ML engineering.
• Monitor, troubleshoot, and resolve issues in production for ML pipelines and environments.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.
• 5+ years of experience in ML engineering, with at least 1 years of hands-on experience with LLMs.
• Strong proficiency in Python.
• Experience with cloud data platforms (AWS and/or Azure).
• Familiarity with CI/CD, DevOps, and infrastructure-as-code practices for ML engineering.
• English: Upper Intermediate or higher.

Culture & Benefits

• Technical and non-technical training for professional and personal growth.
• Internal conferences and meetups to learn from industry experts.
• Support and mentorship from an experienced employee to help you professional grow and development.
• Health insurance.
• Flexible work options, including remote and hybrid opportunities.
• Work anniversary program and additional vacation days.