Machine Learning Engineer, Data Scientist

Clinician Nexus

Machine Learning Engineer at Clinician Nexus developing advanced ML models and data analytics solutions. Collaborate with cross-functional teams to solve real-world healthcare problems.

Posted 6/20/2026full-timeRemote • Arizona, California, Colorado, Florida, Illinois, Massachusetts, Minnesota, Missouri, Montana, New Jersey, New York, North Carolina, Ohio, Pennsylvania, Texas, Wisconsin • 🇺🇸 United StatesMid-LevelSenior💰 $100,700 - $167,800 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudDockerGoogle Cloud PlatformNumpyPandasPythonPyTorchScikit-LearnSDLC

About the role

Key responsibilities & impact

Design, develop, and deploy ML solutions ranging from traditional ML applications (classification, clustering, recommendations) to LLM-based systems, including document parsing, data extraction, RAG pipelines, and LLM agents
Write clean, maintainable, production-quality Python code that integrates smoothly with existing engineering and deployment infrastructure
Work with large datasets to clean, preprocess, and analyze data, 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 that provide actionable insights
Develop and maintain scalable pipelines and infrastructure for data processing and model training, versioning, deployment, and monitoring
Evaluate the performance of machine learning models, including LLM-specific evaluation approaches, and tune models for optimal performance
Communicate findings, insights, and model performance to both technical and non-technical audiences
Continuously stay updated on the latest trends, technologies, and best practices

Requirements

What you’ll need

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field
Bachelor with 5+ years of relevant experience
Master or higher with 3+ years of relevant experience
Fluent in Python (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 such as Scikit-learn and PyTorch; and fundamental libraries such as NumPy and Pandas
Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and containerization tools (e.g., Docker)
Strong understanding of model evaluation metrics across traditional ML (e.g., accuracy, precision, recall, F1) and LLM-based systems (e.g., faithfulness, answer relevancy, hallucination detection)
Experience with model management tools such as MLFlow and the model development life cycle
Experience with version control tools such as Git
Proficiency in adapting SDLC best practices for code development and testing
Excellent problem-solving skills, analytical thinking, and the ability to work in a fast-paced environment
Strong communication skills and the ability to explain complex technical concepts to non-technical stakeholders.

Benefits

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Pythonmachine learningdeep learningstatistical analysisdata preprocessingRAG pipelinesLLM architecturesmodel evaluation metricsScikit-learnPyTorch

Soft Skills

problem-solvinganalytical thinkingcommunicationcollaborationadaptability

Certifications

Bachelor's degreeMaster's degree