OmegaHires

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Job Title: Senior Staff Machine Learning Engineer (AI Agent) Location: Remote About The Role: As a Staff Machine Learning Engineer, your goal will be to take AI Agents from the realm of research and bring them into practical, real-world use cases. This includes developing and deploying proprietary LLMs, scaling AI solutions, and addressing key challenges such as evaluation and reliability. While we’re focused on real-world application rather than pure research, you’ll be working with some of the most advanced technologies in the GenAI space. Responsibilities: Focus on practical AI challenges such as improving reasoning, planning capabilities, and evaluation in real-world scenarios Collaborate with cross-functional teams including front-end and back-end software engineers to integrate AI Agents into Client customer solutions Lead initiatives to scale AI systems for production environments, ensuring performance and reliability across use cases Innovate and research ways to improve security, cost-efficiency, and reliability of AI systems Qualifications We Value Bachelor’s Degree in Computer Science, Mathematics, or a related field; Master’s or Ph.D. preferred, or equivalent professional experience 7+ years of hands-on industry experience with AI and machine learning, preferably with 3+ years of experience working with LLMs in large-scale production environments Expert knowledge of machine learning concepts and methods, especially those related to NLP, Generative AI, and working with LLMs Proven leadership in designing and deploying AI solutions at scale, with a deep understanding of model optimization and real-time AI applications Extensive practical knowledge of modern machine learning frameworks and technologies (e.g., PyTorch, Tensorflow, Hugging Face, NumPy), as well as experience with distributed systems and cloud-based AI infrastructure Strong problem-solving and strategic thinking abilities, with a proven ability to lead cross-functional teams and work collaboratively to deliver innovative AI solutions in production A passion for driving AI adoption and pushing the boundaries of AI technology into real-world applications, with an ability to mentor junior engineers and influence strategic decisions across the organization