Senior Machine Learning Engineer

Work at the intersection of data science and software engineering, building, deploying, and optimizing machine learning (ML) models and pipelines, with a strong emphasis on large language models (LLMs), generative AI (GenAI), and natural language processing (NLP).

Following a 2022 merger of CNSI and Kepro, Acentra Health combines clinical services, technology solutions, and data analytics to accelerate better health outcomes. This is a great time to join our team of passionate individuals working together to pursue the most effective solutions to today’s complex healthcare challenges. Our culture is fueled by passion and driven by purpose.

Sr. Machine Learning Engineer

Are you an experienced Sr. Machine Learning Engineer looking for a new challenge?

Are you looking to join a team that ensures a collaborative and inviting culture where everyone can thrive?

If so, you might be our next new team member!

Who we need:

Will help improve patient outcomes and drive innovation and efficiency in healthcare. The ideal candidate will have a proven record of successfully deploying machine learning models, LLM based solutions, understanding of the software development lifecycle (SDLC), proficiency in continuous integration and continuous development (CICD) pipelines, experience with MLOps, and proven experience mentoring junior level engineers.

Singularly Focused. Mission Driven.

Accelerating Better Outcomes is our Mantra! We are mission-driven to innovate health solutions that deliver maximum value and impact.

We do this through our people.

You will have meaningful work that genuinely improves people's lives across the country. We are a company that cares about our employees, and we give you the tools and encouragement you need to achieve the finest work of your career.

Benefits are a key component of your rewards package. Our benefits are designed to provide you with additional protection, security, and support for both your career and your life away from work. Our benefits include comprehensive health plans, paid time off, retirement savings, corporate wellness, educational assistance, corporate discounts, and more.

What you’ll do:

• Design, develop, and implement ML models and algorithms to solve healthcare-related problems, such as disease prediction, patient risk stratification, clinical decision support, and personalized medicine
• Explore and implement state-of-the-art ML techniques, including supervised and unsupervised learning, deep learning, and NLP 
• Develop and implement data cleaning, feature engineering, and data augmentation techniques to improve model performance and generalizability
• Evaluate and validate ML models using appropriate metrics and methodologies, ensuring robustness, accuracy, and reliability
• Interpret and communicate model results to domain experts and stakeholders, providing actionable insights and recommendations
• Optimize models for performance, scalability, and real-time predictions, considering computational constraints and regulatory requirements
• Design and develop innovative solutions using LLMs and foundation models to solve business problems and create operational efficiencies
• Lead the AI and ML development process and oversee CICD pipelines
• Document code, methodologies, and experimental results to ensure reproducibility and knowledge sharing
• rain junior level engineers and serve as a mentor for learning new technologies, best practices, and company culture
• Collaborate with cross-functional teams, including data scientists, clinicians, researchers, and product managers, to translate business requirements into technical solutions
• Stay abreast of the latest advancements in ML, AI, LLMs, healthcare informatics, and regulatory landscape to inform decision-making and drive innovation 

Required Qualifications

• 5+ years of experience as a ML Engineer
• 5+ years of experience with object-oriented scripting languages, such as Python or R
• 5+ years of experience with developing ML models and NLP techniques
• 5+ years of experience with data preprocessing and feature engineering
• 2+ years of experience with LLMs and GenAI
• 3+ years of cloud computing experience using Azure and/or Amazon Web Services (AWS) for testing, deploying, and managing ML and AI systems
• Master’s degree in computer science, data science, or a related field. 

Experience

• Proven experience with successfully deploying solutions using LLMs and foundation models
• Proven e