Machine Learning Engineer (MLOps)

The role

This individual will support the development, deployment, and optimization of machine learning systems. They will ensure scalability, reliability, and continuous improvement in production environments.

What you will do

• Explore, design, and implement machine learning infrastructure frameworks and tools.
• Champion model observability, monitoring, and feedback loops.
• 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.
• Identify and resolve bottlenecks in ML workflows.
• Leverage AI-assisted tools and LLM-based technologies to improve development efficiency and automate workflows.

Required 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 large-scale system design and ML systems.
• Strong experience with Microsoft Azure, distributed systems, and databases (SQL/NoSQL).
• Hands-on experience with MLOps tools such as Azure Machine Learning, MLflow, and Kubeflow.
• Proficiency in Python and familiarity with ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Experience building CI/CD pipelines for ML workflows (e.g., Azure DevOps, GitHub Actions, ArgoCD).
• Experience with data orchestration tools such as Azure Data Factory, Airflow, or Prefect.
• Strong analytical, problem-solving, and communication skills.

Nice to have

• 10+ years of experience building scalable ML systems in production environments.
• Experience with model monitoring, drift detection, and observability practices.
• Strong cross-functional collaboration skills across engineering and data science teams.
• Experience using AI-assisted development tools to support coding, documentation, and testing workflows.

Benefits

• Company paid medical, dental, and vision coverage
• Life insurance
• Short- and long-term disability insurance
• Paid pregnancy disability leave
• 401(k)/Roth with company match
• Paid time off including parental and military leave
• Employee referral and professional license bonuses
• Educational reimbursement
• Employee resource groups
• Flexible work schedules
• Extensive training
• Wellness programs

About the company

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.