SideRamp
Machine Learning Engineer
đź“Ť
New York, NY
🧪
Mid-Senior level
About SideRamp
SideRamp allows professionals to engage with part-time opportunities in the gig economy, offering a centralized platform that manages high-quality, flexible side gigs. We focus on connecting our users to various freelance and part-time work—from discovering opportunities to streamlining the application process.
Job Title: Machine Learning Consultant
Job Type: Project-Based Consulting Role
Location: Flexible/Remote
Job Description:
We are looking for a proficient Machine Learning Consultant to collaborate with our client's team on a project basis. Our client operates in the healthcare sector, focusing on innovative solutions for patient care. In this role, you will play a crucial part in developing and implementing machine learning models to enhance their services and operations.
Responsibilities:
Type: Consulting, project-based, on a per-project basis.
Duration: Short to medium-term projects with the potential for future collaborations based on project outcomes.
Note: Job descriptions may have been edited from their original format to ensure fair hiring standards along with consistent formats across all postings. Salary information is not guaranteed and many estimates are based on a yearly, full-time salary. This system can make mistakes.
SideRamp allows professionals to engage with part-time opportunities in the gig economy, offering a centralized platform that manages high-quality, flexible side gigs. We focus on connecting our users to various freelance and part-time work—from discovering opportunities to streamlining the application process.
Job Title: Machine Learning Consultant
Job Type: Project-Based Consulting Role
Location: Flexible/Remote
Job Description:
We are looking for a proficient Machine Learning Consultant to collaborate with our client's team on a project basis. Our client operates in the healthcare sector, focusing on innovative solutions for patient care. In this role, you will play a crucial part in developing and implementing machine learning models to enhance their services and operations.
Responsibilities:
- Custom Model Development: Create tailored machine learning models to address specific challenges and optimize processes within the healthcare domain.
- Data Analysis: Conduct in-depth data analysis to extract valuable insights and patterns for model training and refinement.
- Algorithm Optimization: Fine-tune existing algorithms and explore new methodologies to improve model performance and accuracy.
- Collaborative Problem-Solving: Work closely with the client's technical and business teams to identify opportunities for applying machine learning solutions.
- Performance Evaluation: Evaluate model performance, conduct A/B testing, and provide recommendations for continuous improvement.
- Documentation and Training: Document model development processes, provide training sessions, and ensure knowledge transfer to the client's internal teams.
- Experience: Minimum of 3 years of hands-on experience in machine learning projects, preferably within the healthcare industry or a related field.
- Education: Bachelor's or Master's degree in Computer Science, Data Science, or a relevant discipline.
- Proficiency in machine learning techniques such as deep learning, natural language processing, and computer vision.
- Strong programming skills in languages like Python, R, or Java for model development and deployment.
- Ability to communicate complex technical concepts effectively to non-technical stakeholders.
- Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and data visualization tools.
Type: Consulting, project-based, on a per-project basis.
Duration: Short to medium-term projects with the potential for future collaborations based on project outcomes.
Note: Job descriptions may have been edited from their original format to ensure fair hiring standards along with consistent formats across all postings. Salary information is not guaranteed and many estimates are based on a yearly, full-time salary. This system can make mistakes.