Machine Learning Engineer

Writing effective and scalable Python codes Designing and implementing robust applications Debugging applications to ensure low-latency and high-availability Integrating user-facing elements with server-side logic Implementing security and data protection Accommodating various data storage solution Given that this is an early-stage startup, you will play an active role in functional requirements into concrete deliverables and build quick prototypes or proofs of concept Ensure the quality of architecture and design of systems. Possess expert knowledge in algorithm performance, its scalability and engineering best practices Qualifications : Bachelors with 0-5+ years or MS with 0-3+ in engineering Minimum 5 experience in Machine Learning & Data Science Frameworks Knowledge in TensorFlow / PyTorch Experience in developing Python using FastAPI / FLASK frameworks Nice to have Building Data Pipelines Knowledge in GPU technologies and frameworks CUDA, NVIDIA computer vision SDKs Practical experience with software engineering best-practices and a strong desire to create quality solutions and designs Experience in design and implementation of large scale, distributed, high performance, and high availability systems General understanding of ML concepts (Feature extraction, training regimes, etc) Nice to have proven production systems based on Computer Science fundamentals such as: Computer Vision, algorithm design, problem solving, and complexity analysis, data structures, and object-oriented design Linux environment. Ability to document design and document code, write unit tests Normal to medium level experience with TDD (test driven development)