Lead Machine Learning Engineer

About Calibrax AICalibrax.ai is a team of high-caliber AI practitioners dedicated to building cutting-edge, practical AI solutions with real business impact. We help organizations craft their AI strategy, ensuring alignment with their goals, and deliver end-to-end solutions—from ideation and model development to deployment and long-term optimization. Our culture values ownership, curiosity, and innovation—where questioning assumptions, learning continuously, and thinking differently are encouraged. At Calibrax, we don’t just develop AI; we calibrate it for precision, efficiency, and long-term success. If you’re passionate about solving complex problems with AI and want to work in a team that values transparency, integrity, and excellence, you’re in the right place.The RoleThe RoleWe are looking for a Staff Machine Learning Engineer to play a pivotal role in shaping how we design, build, and scale AI systems at Calibrax. This is a hands-on technical leadership role where you’ll architect end-to-end ML systems, guide the adoption of best practices, and mentor teams to deliver high-impact solutions. You’ll be expected to push the boundaries of ML engineering—solving challenging problems in scalability, infrastructure, and model lifecycle management—while influencing the strategic direction of our AI platforms.What You’ll DoLead the design and architecture of large-scale machine learning systems, from data pipelines to deployment and monitoring.Drive MLOps strategy, ensuring models are production-ready, resilient, and continuously improving.Partner with data scientists, product managers, and engineers to deliver impactful end-to-end AI solutions.Mentor and coach other engineers, raising the bar for ML engineering excellence across the team.Evaluate and introduce emerging tools, frameworks, and infrastructure to advance Calibrax’s AI capabilities.Establish technical standards and best practices for scalability, reliability, and ethical AI.Act as a thought leader within the organization, influencing both technical strategy and business outcomes.What We’re Looking For8+ years of experience in machine learning engineering, software engineering, or related roles, with a proven track record of production-scale ML deployments.Deep expertise in Python, ML frameworks (e.g., PyTorch, TensorFlow), and MLOps practices (MLflow, Kubeflow, SageMaker, Airflow, Docker, Kubernetes).Strong background in distributed systems, data engineering, and cloud platforms (AWS, GCP, or Azure).Experience designing scalable pipelines and architectures for high-volume, real-time ML applications.Solid software engineering fundamentals, including system design, APIs, CI/CD, and performance optimization.Strong leadership skills, with experience mentoring teams and influencing cross-functional stakeholders.Ability to balance hands-on technical work with long-term architectural vision and strategy.Why Join Us?Play a defining role in shaping the future of Calibrax’s AI platform and engineering practices.Work on technically challenging problems at the intersection of ML, systems engineering, and real-world impact.Lead and mentor a high-caliber team while staying deeply technical.Collaborate with top AI practitioners in a culture that values ownership, integrity, and excellence.Flexible, growth-oriented environment where your ideas drive real change.Ready to lead the engineering of AI that scales with impact? Apply now!