Senior Machine Learning Engineer

February 26

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Logo of Invisible Technologies Inc.

Invisible Technologies Inc.

Invisible Technologies Inc. is a rapidly growing company that integrates world-leading AI with global human talent to enable AI adoption for enterprises. By combining artificial intelligence with human expertise in an integrated platform, Invisible Technologies focuses on training AI models, automating processes, and enhancing digital operations. The company's services include AI training, enablement, and intelligent operations solutions, catering to various industries such as financial services, healthcare, eCommerce, and technology. With significant growth recognized by the Deloitte Technology Fast 500 in 2024, Invisible Technologies helps organizations achieve transformational outcomes and significant ROI through expert process automation and AI solutions.

Productivity β€’ Project Management β€’ Data Clean-Up β€’ Operations β€’ Outsourcing

πŸ“‹ Description

β€’ Develop and maintain AI/ML systems, building scalable backend systems. β€’ Oversee and optimize cloud infrastructure for ML model deployment. β€’ Independently address complex problems to enhance system capabilities. β€’ Collaborate with ML engineers and data scientists on advanced ML technologies. β€’ Participate in R&D for tools that enhance AI capabilities and workflows.

🎯 Requirements

β€’ 5+ years of software engineering experience with a focus on ML engineering. β€’ Extensive experience in full-stack development supporting AI/ML workloads. β€’ Strong proficiency in Python with expertise in LLMs and AI model development. β€’ Experience designing scalable ML systems and production-grade AI applications. β€’ Extensive experience with cloud platforms and operational best practices for ML workloads. β€’ Familiarity with Kubernetes and container management tools. β€’ Ability to write organized code and automated tests. β€’ Experience with MLOps frameworks; familiarity with DevOps principles. β€’ Ability to operate independently in unstructured environments. β€’ Excellent communication skills in cross-functional teams.

πŸ–οΈ Benefits

β€’ Bonuses and equity are included in all offers. β€’ Final compensation is determined by factors including location, experience, skills, and internal equity.

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