Cambridge Mobile Telematics (CMT) is the world's largest telematics service provider. Its mission is to make the world's roads and drivers safer. The company's AI-driven platform, DriveWell Fusion®, gathers sensor data from millions of IoT devices — including smartphones, proprietary Tags, connected vehicles, dashcams, and third-party devices — and fuses them with contextual data to create a unified view of vehicle and driver behavior. Auto insurers, automakers, commercial mobility companies, and the public sector use insights from CMT's platform to power risk assessment, safety, claims, and driver improvement programs. Headquartered in Cambridge, MA, with offices in Budapest, Chennai, Seattle, Tokyo, and Zagreb, CMT measures and protects tens of millions of drivers across the world every day. We are in search of a collaborative, self-motivated MLOps Engineer to develop, maintain, and scale our Machine Learning platforms and infrastructure. You will work closely with our Data Science teams and work towards optimizing our utilization of Databricks, Spark, Ray, and AWS services that support building large-scale machine learning models while ensuring a balance between cost-efficiency and speed. You will empower the data science team by expediting the delivery of new models, enhancing the efficiency of feature engineering, model training, and validation processes. As an MLOps Engineer, you will play a crucial role in developing and managing the Machine Learning platform and infrastructure. You will be empowered to contribute towards the technical designs and process improvements, and will collaborate cross-functionally with data scientists, mobile developers, platform engineers, and QA engineers to foster a collaborative and innovative environment. Responsibilities: Design, develop, and maintain features for machine learning infrastructure and workflows.. Write high-quality, well-documented code and testable code. Implement infrastructure as code using tools like Terraform. Troubleshoot and resolve issues across various systems and platforms. Actively participate in team meetings, including scrums and planning sessions. Conduct and participate in code and design reviews. Provide regular updates on progress and task completion. Maintain and monitor test and production systems for stability, security, and performance. Share knowledge and contribute to internal documentation and onboarding materials.. Assume ownership of assigned tasks and ensure completion. Assist with production issues, including on-call responsibilities. Adhere to CMT's development and operational standards. Complete any additional tasks as they arise Qualifications: Bachelor's degree in Computer Science or related field, or equivalent experience/certification. Conceptual understanding or experience in AI, Machine Learning, or Data Science. Strong communication skills. Proficiency in Python and SQL. Ability to learn quickly and solve complex problems. Willingness to participate in on-call rotations. Competence in general development tasks on Linux and MacOS. Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes) Nice to Have Professional engineering experience. Experience with platforms like Databricks and AWS services (EC2, S3, Redshift). Experience with deep learning frameworks (TensorFlow, Keras, Torch). Experience with software development processes and scripting languages (Python, Pandas, NumPy, scikit-learn). Experience with Docker, Kubernetes, Terraform, and Jenkins CI/CD pipelines. AWS or Kubernetes Certification. Understanding of Agile methodologies (SCRUM). User-level knowledge of issue tracking systems (Jira). Compensation and Benefits: Fair and competitive salary based on skills and experience Equity may be awarded in the form of Restricted Stock Units (RSUs) Medical Benefits (Health insurance, Personal accident insurance, Group term life insurance), gratuity, parental leave, sick leave, and public holidays Employees are eligible for flexible allowances, which include Leave Travel Assistance, Telephone/Mobile Expenses, Professional development expenses, Meals Coupon, Vehicle Reimbursement Flexible scheduling and work from home policy depending on role and responsibilities Additional Perks: Feel great working to improve road safety around the world! Join one of our many employee resource groups, including Black, AAPI, LGBTQIA+, Women, Book Club, and Health & Wellness Extensive education and employee assistance programs CMT will do all that is possible to support our employees and create a positive and inclusive work environment for all! Commitment to Diversity and Inclusion: At CMT, we believe the best ideas come from a mix of backgrounds and perspectives. We are an equal-opportunity employer committed to creating a workplace and culture where everyone feels valued, respected, and empowered to bring their unique talents and perspectives. Diversity is essential to our success, and we actively seek candidates from all backgrounds to join our growing team. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability state. "CMT is headquartered in Cambridge, MA. "To learn more, visit www.cmtelematics.com and follow us on X @cmtelematics. Show more Show less