Senior Machine Learning Engineer - Cloud AI Platforms

This is a fully remote opportunity for a Senior Machine Learning Engineer specializing in Cloud AI Platforms. Our client is a global technology innovator seeking to expand its capabilities in building and scaling intelligent applications. You will be instrumental in designing, developing, and deploying advanced machine learning models and systems on leading cloud infrastructures. This role requires a deep understanding of cloud architecture, MLOps, and scalable ML solutions.

You will work with a distributed team of talented engineers and researchers to push the boundaries of what's possible with AI. The ideal candidate thrives in a remote-first environment, possesses excellent communication skills, and is passionate about delivering high-impact AI solutions from anywhere in the world. Join our client's visionary team and contribute to shaping the future of cloud-based AI services.

Your work will directly influence the capabilities of our client's platform.

• Design, build, and deploy scalable machine learning pipelines and infrastructure on cloud platforms (e.g., AWS, Azure, GCP).
• Develop and optimize ML models for performance, efficiency, and reliability.
• Implement MLOps best practices for continuous integration, continuous delivery, and model monitoring.
• Collaborate with data scientists and software engineers to integrate ML models into production systems.
• Automate ML workflows, from data ingestion and preprocessing to model training and deployment.
• Ensure the security, scalability, and cost-effectiveness of cloud-based AI solutions.
• Troubleshoot and resolve issues in production ML systems.
• Contribute to the technical roadmap and strategy for cloud AI initiatives.
• Champion best practices for cloud ML development and deployment within the
  ** remote
  * * team.

• Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field.
• Minimum of 5 years of experience in machine learning engineering, with a focus on cloud platforms.
• Proficiency in Python and ML libraries (e.g., Tensor Flow, PyTorch, scikit-learn).
• Extensive experience with major cloud providers (AWS, Azure, or GCP) and their AI/ML services.
• Strong understanding of MLOps principles and tools (e.g., Docker, Kubernetes, CI/CD).
• Experience building and deploying large-scale ML models.
• Excellent programming and software engineering skills.
• Strong problem-solving and debugging abilities.
• Effective communication and collaboration skills, essential for a remote role.
• Familiarity with big data technologies (e.g., Spark, Hadoop) is a plus.

• Competitive salary and remote work flexibility.
• Comprehensive health and wellness benefits.
• Generous home office setup allowance.
• Unlimited paid time off.
• Professional development budget for online courses and certifications.
• Opportunity to work on challenging, cutting-edge AI projects.
• A supportive and inclusive remote work culture.
• Direct impact on the evolution of cloud AI services.