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About the Role

Clinician Nexus provides technology products, workforce analytics, and automated workflow solutions to healthcare organizations. We are seeking a Machine Learning Engineer to develop and deploy cutting-edge machine learning models and data analytics solutions, collaborating with cross-functional teams to drive data-informed decision-making.

Responsibilities

• Design, develop, and deploy ML solutions including traditional ML applications and LLM-based systems (document parsing, data extraction, RAG pipelines, LLM agents).
• Write clean, maintainable, production-quality Python code for integration with existing infrastructure.
• Clean, preprocess, and analyze large datasets, ensuring data quality and integrity.
• Implement and optimize algorithms using best practices in machine learning, deep learning, and statistical analysis.
• Collaborate with business stakeholders to understand requirements and deliver data-driven solutions.
• Develop and maintain scalable pipelines for data processing, model training, versioning, deployment, and monitoring.
• Evaluate machine learning model performance, including LLM-specific metrics, and tune models for optimal performance.
• Communicate findings, insights, and model performance to technical and non-technical audiences.
• Stay updated on the latest trends, technologies, and best practices in machine learning.

Requirements

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field, or equivalent experience.
• Bachelor's degree with 5+ years of relevant experience, or Master's degree or higher with 3+ years of relevant experience.
• Fluent in Python with 3+ years of coding experience.
• Strong software development practices in Python, including writing maintainable, testable, production-ready code.
• Solid understanding of LLM architectures and Generative AI.
• Hands-on experience building and evaluating RAG pipelines.
• Experience with LLM orchestration frameworks (LangChain, LlamaIndex, or similar).
• Proficiency in machine learning libraries (Scikit-learn, PyTorch) and fundamental libraries (NumPy, Pandas).
• Familiarity with cloud platforms (AWS, GCP, Azure) and containerization tools (Docker).
• Strong understanding of model evaluation metrics for traditional ML and LLM-based systems.
• Experience with model management tools (MLFlow) and the model development life cycle.
• Experience with version control tools (Git).
• Proficiency in adapting SDLC best practices for code development and testing.
• Excellent problem-solving skills and analytical thinking.
• Ability to work in a fast-paced environment.
• Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders.
• Collaborative, inquisitive, innovative, confident, curious, and business-oriented.

Skills

• Python
• Machine Learning
• Data Science
• Statistics
• LLM Architectures
• Generative AI
• RAG Pipelines
• LLM Orchestration Frameworks (LangChain, LlamaIndex)
• Scikit-learn
• PyTorch
• NumPy
• Pandas
• Cloud Platforms (AWS, GCP, Azure)
• Docker
• Model Evaluation Metrics
• MLFlow
• Git
• SDLC
• Problem-solving
• Analytical Thinking
• Communication

Location

• Remote (AZ, CA, CO, FL, GA, IL, IN, MA, MI, MN, MO, NJ, NY, NC, OH, PA, TX, WI)

Work Type

• Remote
• Full-time

Experience Level

• 5+ years relevant experience (Bachelor's)
• 3+ years relevant experience (Master's or higher)

Education Level

• Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or related field
• Master's degree in Computer Science, Data Science, Statistics, Mathematics, or related field

Salary/Compensations

• $100,700 - $167,800

Benefits

• Competitive total compensation package
• Medical and dental coverage at no premium cost for employees
• 401(k) and profit-sharing retirement plans
• Flexible spending accounts
• Paid time off (PTO)
• Company-paid holidays
• Gender-neutral parental leave
• Bereavement and pet leave
• Continuing education and professional accreditation sponsorship
• Life and AD&D insurance
• Short- and long-term disability
• Employee assistance program
• Mental health support program
• Additional perks

About the Company

• Clinician Nexus enables health care organizations to build thriving clinician teams with industry-leading technology products, workforce and compensation analytics, and automated workflow solutions.
• Backed by extensive technical expertise and industry-leading data, we deliver innovative approaches to help clients plan, educate, and engage their clinical workforce at every stage of the lifecycle.
• We are committed to providing our clients with outstanding guidance and support as they work to shape the future of health care.
• Our Values: Connect, Act, Reach, Embrace.

Equal Opportunity

• SullivanCotter Holdings (Clinician Nexus, SCH Services, SullivanCotter) is an Equal Employment Opportunity/Affirmative Action employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law or marital status.