Sr. ML/LLM Engineer

Who is Eleos Health?

Today, more people than ever are speaking publicly about their mental health. Whether it's ourselves, our friends and family, or even public figures, taking care of your behavioral health is no longer a taboo—it's vital, and it's only human. Eleos is on a mission to help deliver the world's most effective behavioral care through data, measurement, and personalization. Or simply put, we want to give clinicians the support they need to do the important work only they can do.

What is this opportunity?

We at Eleos are building a state-of-the-art behavioral health CareOps automation solution. Our platform is a cutting-edge solution that turns behavioral health conversations into documentation and intelligence that drives better care, enhances therapists' day-to-day, and increases their effectiveness and success. Our solution uses proprietary NLP to digitize behavioral health conversations, track evidence-based care, and reduce documentation work by 50%+.

As an ML/LLM Engineer, you will be a crucial part of our R&D team, bridging the gap between research and production. You will build and maintain the infrastructure that empowers our data scientists to develop, test, and deploy cutting-edge ML and LLM solutions in a secure and compliant environment. You will play a pivotal role in shaping transformative technologies and strategies by enabling and driving innovation within the company. This is a unique opportunity to join a startup with a real impact on thousands' wellbeing and mental health, applying cutting-edge technology to solve a meaningful human problem with huge financial and psychological implications.

We have:

• A world-changing vision and a product that impacts people's lives every single day.
• A team of amazing people with a shared vision and extensive experience building companies from the ground up.
• A post-seed stage company poised for explosive growth

We care about:

• Accountability - we can trust you to take ownership of your tasks from A-Z and understand the gravity of the data you are working with.
• Agility and adaptability - we can trust you to get things done, learn what it takes on your own, and adapt to a very dynamic environment.
• Communication - you are able to successfully communicate complex issues and problems.
• An analytical mind with problem-solving capabilities.
• Great interpersonal skills.

Requirements

Who are you?

• +3 years of proven industry experience in ML Engineering, MLOps, or a related field.
• +3 years of experience in Python (production-grade coding).
• Experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes).
• Experience setting up and maintaining CI/CD pipelines for ML models.
• Experience with ML experiment tracking and model versioning tools.
• Experience with LLM deployment and optimization.
• Experience with Data Science Project - advantage
• Experience with prompt engineering and management - advantage
• Experience with data versioning tools (e.g., Pachyderm, DVC) - advantage
• Experience with MLOps platforms (e.g., Kubeflow, MLflow) - advantage
• Early-stage start-up experience - advantage