Job Description

Machine Learning Engineer – Healthcare, Entry Level

Machine Learning Engineer – Healthcare, Entry Level

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Impact Advisors is a nationally recognized healthcare consulting firm. The Machine Learning Engineer will blend software engineering, cloud engineering, and data science expertise to develop, deploy, and optimize machine learning models and solutions for healthcare clients.

Responsibilities:

• Model Development: Design, develop, fine-tune and implement machine learning models and algorithms tailored to healthcare data and client needs.

• Deployment: Deploy machine learning models into production environments, ensuring scalability, reliability, and performance.

• Data Preprocessing: Collaborate with data engineers to preprocess and clean data, ensuring high-quality inputs for model training and validation.

• Performance Monitoring: Monitor model performance and conduct regular maintenance to ensure accuracy and effectiveness over time.

• Collaboration: Work closely with data scientists, healthcare experts, and client teams to understand requirements and deliver customized solutions.

• Documentation: Document methodologies, processes, and model configurations to ensure transparency and reproducibility.

• Innovation: Stay current with the latest research and advancements in machine learning, AI, and healthcare analytics to continuously improve and innovate solutions.

• Consultation: Provide expert advice and recommendations to clients on the application of machine learning in healthcare settings.

Qualifications:

• 2+ years of experience in building, training, fine-tuning and shipping machine learning, Generative AI, deep learning models into production using cloud services (e.g., Azure ML Ops, AWS Bedrock) and libraries such as TensorFlow or PyTorch

• Proficiency in Python

• Proficiency in model validation, A/B testing frameworks, and automated testing pipelines for production applications

• Confidence with managing code lifecycle with Azure DevOps or Github

• Extensive architecture and data modeling skills required to ship products using industry-standard data and cloud technologies (e.g., AWS Glue, Apache Airflow, Databricks, Azure Data Factory)

• Knowledge of RAG (Retrieval-Augmented Generation) and agentic frameworks

• Theoretical fluency and working proficiency in the application of a broad array of statistical methods such as description and inferential statistics, multivariate regression, clustering, neural networks, predictive modeling, forecasting, machine learning, data mining, and optimization algorithms.

• Requires prior experience in SQL/Database programming such as stored procedures, functions, temporary tables, parameterization, complex joins, and groupings.

• Experience problem-solving for complex application failures (root cause, performance degradation, cross-system dependencies, business impact analyses)

• Strong written and verbal communications

• Up to 20% active participation in client-facing workshops, validation sessions, or educational sessions

• Enthusiasm and interest working with Generative AI and LLMs in the healthcare domain

• Advanced degree in computer science, math, statistics or a related discipline

• Superior communication skills and ability to tailor written and spoken language to a broad variety of potential stakeholders

• Utilizes team collaboration to create innovative solutions efficiently

• Ability to inspire a followership and mobilize change agents that act as multipliers and foster the mindset

• Other language experience preferred including R, Java or other analytics/data mining tools

• Certifications are plus

• Experience working in an Agile environment

Company:

Impact Advisors is a nationally recognized healthcare consulting firm. Impact Advisors has a track record of offering H1B sponsorships.

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Industries

  Software Development

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Inferred from the description for this job

Medical insurance

Vision insurance

401(k)

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