Full-Time Senior Machine Learning Engineer

• Performs software engineering tasks for an end-to-end AI system.
• Designs, builds, and maintains AI system components: microservices, APIs, using Docker, Kubernetes, FastAPI.
• Collaborates with engineering teams and Dev Ops for consistent best practices and system integration.
• Reviews code and work of peers.

• Pragmatism: Practicality over elaborate theory.
• Collaboration: Good communication and knowledge sharing.
• Technical Skills: Python and Linux proficiency.
• Attention to detail: Accuracy in important tasks.

• Formal education in a technical, data-related field (Bachelor’s degree in computer science, engineering, statistics, physics, etc.) with software development emphasis.
• 5-7 years of production-grade commercial software experience in a team.
• Machine learning knowledge is desirable.
• Experience with GPUs, compute-heavy tasks at scale, and data systems is beneficial.

• Mandatory: Scientific Python coding, Linux environment, Git.
• Appreciation of machine learning fundamentals.
• Follow best practices in modern software engineering.

• Computer Vision: ML problems applied to image data.
• Software Engineering: Working on shared codebases.
• Cloud Computing: AWS or GCP, distributed VMs, Docker containers.
• GP-GPU: Using GPUs for scientific computing.
• Deep Learning: Applying neural networks.
• Scale: Working with large datasets.

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