ViiV (GSK) Machine Learning Engineer at Actriv Healthcare

Durham, North Carolina, United States

Apply Now

Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Pharmaceutical, Healthcare, HIV ResearchIndustries

Requirements

Bachelor's Degree in Computer Science, Applied Mathematics, Engineering, or equivalent practical experience
5+ years of experience building and deploying machine learning and AI models in production
Experience in Python, SQL and experience with at least one deep learning framework (PyTorch, TensorFlow, or similar)
Experience in one or more of the following fields of applied ML – Recommendations, Personalization, Large Language Models (LLMs), LLM Evals
Experience with cloud technology stack (eg Azure, GCP or AWS) and ML development environments (eg DataBricks, MLFlow)
Software engineering practices: testing, code reviews, CI/CD, and containerization

Responsibilities

Develop and deploy machine learning models for commercial, scientific and operational problems
Design and implement scalable, production-ready AI and ML solutions
Design and run experiments to measure the impact of models on key business metrics
Collaborate with cross-functional teams to translate domain needs into clear technical requirements
Build reliable, tested, and maintainable code and services for model training and inference
Implement scalable data pipelines and ensure model data quality, versioning, and reproducibility
Monitor model performance in production and iterate to improve reliability and fairness
Contribute to team standards for ML engineering, testing, and documentation

Skills

Machine Learning

Model Deployment

Python

Scalable Data Pipelines

Model Training

Model Inference

Experiment Design

Data Quality

Model Versioning

Production Monitoring

Actriv Healthcare

Connects healthcare facilities with nursing professionals

About Actriv Healthcare

Actriv Healthcare connects healthcare facilities with nursing professionals through a digital platform designed for healthcare staffing. The platform allows nursing professionals to create their own schedules, select preferred workplaces, and contribute to patient care. Users download the Actriv app, complete their application, upload credentials, and schedule an interview. Once approved, they can choose shifts that fit their availability, clock in and out for work, and receive payment, along with benefits like vacation and sick time. Actriv stands out from competitors by emphasizing flexibility in work schedules and leveraging technology to streamline the staffing process. The company's goal is to enhance patient care by providing healthcare facilities with the staffing solutions they need while offering nursing professionals the flexibility they desire.

Tacoma, WashingtonHeadquarters

2017Year Founded

$243.2KTotal Funding

DEBTCompany Stage

HealthcareIndustries

51-200Employees

Benefits

Professional Development Budget

Risks

Rising competition from similar healthcare staffing platforms threatens market share.

AI-driven staffing solutions may reduce need for traditional platforms like Actriv.

Potential labor law changes could impact Actriv's business model.

Differentiation

Actriv offers a unique platform for flexible nursing work schedules.

The company provides a seamless app experience for healthcare professionals.

Actriv's platform emphasizes matching skilled professionals with patient care needs.

Upsides

Actriv secured $3.9M for expansion in Tacoma, boosting growth potential.

Four-year streak on Inc. 5000 highlights Actriv's rapid growth and success.

Increased demand for flexible work aligns with Actriv's business model.

Land your dream remote job 3x faster with AI

Try Jobo Free