
ML Solutions Architect
Posted 16 hours ago

Posted 16 hours ago
This is a fully remote position, open to applicants in Mali.
• Oversee the advanced design of systems that incorporate ML models into the overall product suite.
• Create and implement software layers that facilitate the interaction of ML models with a real-time rendering engine.
• Supervise data preprocessing and postprocessing (coprocessing) to ensure high-performance execution.
• Assess customer needs and decide whether to utilize off-the-shelf solutions or pursue specialized research initiatives.
• Develop and maintain wrappers, APIs, and microservices for a versatile, language-agnostic ML stack.
• Act as the main technical point of contact between technical leadership, customers, and the core engineering team.
• Specify data and integration requirements.
• Decompose complex product visions into modular architectural components.
• Guarantee that ML components are delivered as part of a stable and scalable software product.
• Bachelor's degree in Computer Science, Software Engineering, or a related discipline.
• Demonstrated experience as a Software Architect or Systems Engineer in a fast-paced setting.
• Previous experience in diverse industries such as robotics, smart grids, precision agriculture, game development, or aerospace.
• Proficient in Git and the Unix shell.
• Capability to work with various programming languages, preferably including Python, C++, or C#.
• Comprehensive knowledge of integrating ML models into production software, encompassing API design, message brokers, containerization, and compute and memory budgeting.
• ML-adjacent experience adequate to comprehend model constraints, data requirements, and current advancements.
• Competence in conducting Build vs. Buy analyses for ML components.
• Outstanding ability to convert high-level product vision into detailed engineering specifications.
• Strong focus on system stability and interoperability.
• Experience in fine-tuning and deploying models is advantageous but not mandatory.
• Employees have the option to work remotely.
• Commitment to equal employment opportunities.
• Reasonable accommodations available for qualified individuals with disabilities and disabled veterans.
• Support/accommodation process for in-person interviews.
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