Mid Level AI/Machine Learning Engineer (Remote)

NLP PEOPLE; Deutschland; Remote; EUR 70.000 - 100.000; Vollzeit

Zusammenfassung

A leading IT services provider is seeking an AI/Machine Learning Engineer to support innovative AI applications in the federal healthcare industry. This fully remote position involves designing machine learning models, collaborating with engineers, and ensuring compliance with federal regulations. Ideal candidates will have extensive experience in ML tools and a strong understanding of natural language processing. Engage in meaningful projects transforming healthcare delivery.

Qualifikationen

• 4+ years of experience in software and machine learning engineering.
• Strong knowledge of natural language processing and transformer models.
• 5+ years proficiency in Python and hands-on with ML libraries.

Aufgaben

• Design and deploy machine learning models for clinical decision-making.
• Collaborate with data engineers on prepossessing healthcare data.
• Ensure AI solutions meet federal regulations.

Kenntnisse

Natural Language Processing

Machine Learning

Python

Deep Learning

Cloud-based Solutions

Data Processing

Ausbildung

Bachelor's degree in relevant field

Tools

TensorFlow

PyTorch

Hugging Face Transformers

AWS

Azure ML

Jobbeschreibung

Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust.

Job Summary:

Initiate Government Solutions (IGS) is a fully remote IT services provider focused on delivering innovative solutions in the federal sector. They are seeking an AI/Machine Learning Engineer to support the development of AI applications in the federal healthcare industry, working collaboratively with a team to accelerate digital transformation through scalable AI solutions.

Responsibilities:

• Design, develop, and deploy machine learning and deep learning models to support clinical decision-making, predictive analytics, and health outcomes research.

• Fine-tune models for high performance using healthcare-specific data, including EHRs, claims, imaging, and structured/unstructured text.

• Collaborate with data engineers to clean, preprocess, and normalize healthcare data in compliance with federal data standards (e.g., HL7, FHIR).

• Build scalable ML pipelines that integrate with federal data platforms and cloud services (e.g., VA’s Lighthouse API, Azure Government, AWS GovCloud).

• Ensure AI/ML solutions meet federal regulations, including HIPAA, FISMA, FedRAMP, and VA Information Security requirements.

• Implement differential privacy, encryption, and access controls to safeguard sensitive health data.

• Contribute to the development of governance frameworks to ensure transparent, explainable, and bias-mitigated models.

• Document model lifecycle, from training to deployment, including risk assessments, validation reports, and audit trails.

• Work cross-functionally with program managers, clinicians, data scientists, and software developers to identify opportunities for AI/ML applications that improve healthcare delivery and veteran outcomes.

• Present complex machine learning findings in a way that is actionable and aligned with federal healthcare program goals.

• Stay updated on the latest developments in AI/ML applications for public health and healthcare operations.

• Prototype and test emerging AI technologies (e.g., NLP for clinical text, computer vision for imaging diagnostics) for possible integration into government systems.

• Monitor deployed models for drift, accuracy, and operational effectiveness over time.

• Maintain model retraining schedules based on new data inputs or policy changes.

• Prepare comprehensive documentation and reports for internal stakeholders and external oversight (e.g., OMB, GAO, IG audits).

• Develop dashboards and visualizations to track performance metrics, patient outcomes, and utilization trends impacted by AI/ML tools.

Qualifications:

Required:

• Bachelor’s degree or higher in one of the following disciplines, Computer Science, Data Science, Artificial Intelligence / Machine Learning, Mathematics / Statistics, Biomedical Engineering, Health Informatics, Electrical or Computer Engineering

• 4+ years of experience in software and machine learning engineering.

• Strong knowledge of natural language processing (NLP) and transformer models.

• 5+ years proficiency in Python and hands-on experience with ML libraries like TensorFlow, PyTorch, or Hugging Face Transformers.

• Proven experience building scalable, cloud-based AI/ML solutions and enhancing custom question answering mapping/workflows.

• Expertise in the full ML pipeline, including data processing, model training, serving, and monitoring.

• Knowledge of NLP architectural strategies such as Retrieval-Augmented Generation, Knowledge Graphs, and Agentic Graphs.

• Expertise in MLOps best practices, including Infrastructure as Code (IaC), CI/CD pipelines tailored for ML workflows, model version control, and real-time performance monitoring to ensure scalable and reliable AI/ML systems.

• Familiarity with federal AI governance frameworks and compliance standards (e.g., NIST AI RMF, FedRAMP) is a plus.

• Passion for developing team-oriented solutions to complex engineering problems

• Excellent communication skills and attention to detail

• Analytical mind and problem-solving aptitude

• Ability to obtain and maintain a Public Trust

• Strong organizational skills

Preferred:

• Master’s degree in one of the above-mentioned fields

• Preferred Tools & Environments: Python, R, TensorFlow, PyTorch, Scikit-learn, AWS (SageMaker), Azure ML, Databricks, Apache Spark, Power BI, Tableau, Plotly, Git, GitHub/GitLab

• Active VA Public Trust

• Prior experience supporting a VA program

• Prior, successful experience working in a remote environment

Company:

IGS is a solutions provider, partnering with the Federal Government, to tackle the most challenging issues included interoperability, data analytics, business/clinical applications and operations, program/project management. Founded in 2007, headquartered in West Palm Beach, Florida, USA, team size 51-200 employees, currently Growth Stage.

Company:

Jobright.ai

Qualifications:

Language requirements:

Specific requirements:

Educational level:

Level of experience (years):

Senior (5+ years of experience)

Tagged as: Canada, Industry, Natural Language Processing, NLP, Predictive Analytics, Question Answering