Langan provides expert land development engineering and environmental consulting services for major developers, renewable energy producers, energy companies, corporations, healthcare systems, colleges/universities, and large infrastructure programs throughout the U.S. and around the world. Our employees collaborate seamlessly among 50+ offices and gain valuable hands-on experience that fosters career growth. Langan culture is entrepreneurial from advancing innovative technical solutions, to participating in robust training and knowledge sharing, to making progressive change within the communities we live and work. Consistently ranked among the top ten “Best Firms to Work For” and Engineering News-Record’s top 50 firms worldwide, Langan attracts and retains the best talent in the industry. Employees thrive at Langan, a firm that fosters an inclusive and supportive work environment for all; prioritizes wellbeing, health, and safety; encourages volunteerism and philanthropy; offers workplace flexibility, along with carbon-neutral office spaces; and empowers individuals to contribute their skills and knowledge to make impactful contributions. Job Summary Langan is seeking a Machine Learning Engineer (MLOps) to join its collaborative ;Information ;Technology team. This individual will support the development, deployment, and optimization of machine learning systems, ensuring scalability, reliability, and continuous improvement in production environments. ; Job Responsibilities Explore, design, and implement machine learning infrastructure frameworks and tools to accelerate model development and delivery. ; Champion model observability, monitoring, and feedback loops to ensure continuous model performance and health. ; Design and ;maintain ;automated pipelines for model training, evaluation, versioning, and deployment. ; Collaborate with data scientists and engineers to define requirements, metrics, and deliver high-impact solutions. ; Enforce model governance, validation standards, and best practices to ensure reproducibility and compliance. ; Identify ;and resolve bottlenecks in ML workflows, improving reliability, latency, and system performance. ; Leverage AI-assisted tools and LLM-based technologies to improve development efficiency and automate workflows. ; Qualifications Bachelor’s degree in Computer Science, Software Engineering, Machine Learning, Statistics, or ;a related field. ; 8+ years of experience in software engineering with exposure to l..
