Cloud-Native ML Engineer(Freelance | WFH)

About BeGig

BeGig is the leading tech freelancing marketplace. We empower innovative, early-stage, non-tech founders to bring their visions to life by connecting them with top-tier freelance talent. By joining BeGig, you’re not just taking on one role—you’re signing up for a platform that will continuously match you with high-impact opportunities tailored to your expertise.

Your Opportunity

Join BeGig as a Cloud-Native ML Engineer and build machine learning solutions on scalable cloud infrastructure. Help businesses leverage cloud platforms like AWS, GCP, and Azure to deploy and optimize machine learning models for real-world applications.

Role Overview

As a Cloud-Native ML Engineer, you will:

• Design, implement, and optimize machine learning pipelines and models in the cloud.
• Leverage cloud-native technologies (e.g., Kubernetes, Docker, Lambda) to scale ML workloads.
• Work closely with data scientists, engineers, and DevOps teams to ensure seamless deployment.
• Monitor and optimize model performance and cost-efficiency in production environments.
• Collaborate with product teams to deploy AI-driven applications.

Technical Requirements & Skills

• Experience: 3+ years in machine learning engineering with a focus on cloud-based deployments.
• Tools: Proficiency in AWS SageMaker, GCP AI Platform, or Azure ML.
• Programming: Strong Python, TensorFlow, PyTorch, and MLops skills.
• Cloud Platforms: Expertise in using cloud-native tools (AWS, GCP, Azure).
• DevOps: Familiarity with CI/CD pipelines and Kubernetes for ML model deployment.

What We’re Looking For

• A cloud-savvy engineer who can scale and optimize ML models in real-time environments.
• Strong collaborator and problem solver with an agile mindset.
• Detail-oriented with a focus on reliability and performance.

Why Join Us?

• Impact: Scale machine learning solutions with cutting-edge cloud technologies.
• Flexibility: Work remotely on high-impact ML projects.

Innovation: Join a network of AI/ML professionals working on future-proof solutions.