Senior/Staff Machine Learning Operations Engineer

Job Description

Job Description

Frontera Health is developing a tech-enabled platform to provide pediatric therapies for rural families in need. Our platform leverages AI / ML to establish the foundational video-based data model for early intervention and developmental disorders.

By working with parents and caregivers in rural communities, we aim to increase access to care, improve health equity, and deliver personalized treatment for better outcomes.

Frontera is led by a world-class leadership team, well capitalized and backed by premier investors (Lightspeed and Lux), and already have 500+ clients eagerly awaiting our services.

As Frontera continues to scale, we will continue to expand services and product offerings to better serve the families and providers in our communities.

The Role

AI & ML is at the foundation of what we do. We are looking to fundamentally change the way pediatric healthcare is delivered.

Our ML researchers collaborate closely with internal SMEs and the product team to develop leading computer vision and generative multi-modal models that solve real problems.

We are seeking an experienced and passionate MLOps Engineer to join this team and play a crucial role in bringing these complex ML / AI models from prototype to production.

This role will additionally be working with our engineering teams to ensure we not only provide a framework for the ML team but can also effectively productize and utilize the models.

Responsibilities

• Take prototypes developed by the ML modeling team and drive them into production, ensuring smooth deployment and management of ML models on cloud at scale.
• Work in a highly collaborative and diverse team environment, actively contributing to team goals, participating in fast iteration cycles, and adapting to evolving project requirements.
• Collaborate with ML scientists, software engineers, data engineers and other stakeholders to develop and implement best practices for MLOps, including CI / CD pipelines, version control, model versioning, and automated model deployment.
• Collaborate with DevOps & infrastructure engineers to effectively manage cloud compute resources for ML model deployment, monitoring, and performance optimization.
• Monitor real-time performance of deployed models, analyze performance data, and proactively identify and address performance issues to ensure optimal model performance.
• Troubleshoot and resolve production issues related to ML model deployment, performance, and scalability in a timely and efficient manner.
• Contribute to the continuous improvement of the team's processes and workflows, and share knowledge and expertise with team members to promote a collaborative learning environment.

Qualifications

• Minimum 3+ years of hands-on experience in MLOps , deploying and managing machine learning models in production environments, preferably in cloud-based environments.
• Minimum 5+ years of experience in backend / ML / data development with a strong understanding of server-side programming languages (Python, Java, etc.).
• Strong experience with tools and technologies such as Git, Docker, Kubernetes, Jenkins, CI / CD pipelines, monitoring and logging frameworks, and cloud platforms (e.g., AWS, GCP, Azure).
• Proven track record of deploying models on services such as Google's Vertex AI ML platform, Amazon SageMaker or Azure ML.
• Hands-on experience working with both generative and computer vision models.
• Strong communication skills, with the ability to communicate complex technical concepts to both technical and non-technical stakeholders.
• Excellent teamwork and collaboration skills, with the ability to work effectively in cross-functional teams, adapt to fast iteration cycles, and contribute to team goals.
• Proven ability to work in a fast-paced, dynamic, and innovative environment, with a strong sense of ownership and accountability for delivering high-quality results.
• Experience working in a geographically distributed team environment
• Plus : Expert knowledge in architecting and scaling distributed processing systems (like Spark or Dask) for high performance computing to support model training and inference.

Why Frontera Health ?

• Opportunity to be at the forefront of innovation in pediatric healthcare.
• Work on challenging and impactful projects that leverage cutting-edge technologies.
• Collaborate with a talented and passionate team in a fast-paced and dynamic environment.
• Make a real difference in the lives of children and families in rural communities.
• Competitive salary and benefits package.

Join us in building the future of behavioral healthcare!

We have determined a salary range for this position that takes into account several factors including experience, knowledge, education, skills, and abilities.

Please note that the salary information is a general guideline and the exact salary will be determined based on the individual's qualifications and experience, with consideration given to the factors listed above.

All full time employee benefits include a stake in shared success through stock options, health benefits, 401(k) plan, and responsible PTO.

Expected salary range in Denver

$160,000 $200,000 USD

Frontera Health, Inc. is committed to creating and maintaining a diverse, equitable, and inclusive workplace where everyone feels valued, respected, and has the opportunity to thrive.

We believe that our differences make us stronger and that all employees, regardless of their background, experiences, or abilities, contribute to our success.

We are committed to :

• Providing equal employment opportunities to all qualified individuals, without regard to race, color, religion, sex, national origin, disability status, sexual orientation, gender identity or expression, age, genetic information, veteran status, or any other characteristic protected by law.
• Fostering a culture of inclusion and belonging where everyone feels valued and respected.
• Providing reasonable accommodations to employees with disabilities.
• Continuously learning and improving our DE&I practices.

We will achieve this commitment by :

• Recruiting and hiring a diverse workforce that reflects the communities we serve.
• Creating and maintaining an inclusive work environment that is free from discrimination and harassment.
• Actively listening to and addressing the needs and concerns of all employees.

We believe that diversity, equity, and inclusion are essential to our success as a company and to our mission of serving the pediatric behavioral health community.

We are committed to continuous improvement in this area and welcome feedback from all employees.