Machine Learning Engineer, Robert Half

Machine Learning Engineer

Robert Half

Location:

United States, Boston

Category:

IT - Software Development

Contract Type:

Employment contract

Salary:

Not provided

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Job Description:

We are seeking a talented and experienced Machine Learning Engineer with expertise in Computer Vision to join our dynamic team. In this role, you will focus on developing and deploying production-ready computer vision models leveraging cutting-edge technologies.

Job Responsibility:

Design, develop, and deploy scalable and production-ready computer vision models for real-world applications
Leverage algorithms and frameworks like YOLO, U-Net, CNNs/RCNNs, and other deep learning architectures for tasks such as image segmentation, object detection, and classification
Implement pre- and post-processing techniques, including image blurring, contrast enhancements, and other image augmentation pipelines, to optimize model performance
Write efficient, maintainable, and clean Python code for integrating computer vision models into production systems
Collaborate with cross-functional teams, including data scientists, machine learning engineers, and product managers, to understand project needs and deliver solutions
Analyze and improve model performance, accuracy, and efficiency through continuous evaluation and enhancement
Stay updated on the latest advancements in computer vision and machine learning techniques, incorporating new technologies where appropriate
Contribute to model optimization and inference processes to ensure scalability and low latency in production environments
Troubleshoot production issues and implement solutions to improve reliability and performance
Document technical solutions, workflows, and methodologies for internal and external stakeholders.

Requirements:

3+ years of professional experience working as a Machine Learning Engineer or in a related role focused on computer vision
Strong proficiency in Python and experience with deep learning libraries such as TensorFlow, PyTorch, or Keras
Hands-on expertise with computer vision models and architectures, including YOLO, U-Net, and CNNs/RCNNs
Extensive experience with image segmentation, object detection, and related computer vision techniques
Familiarity with preprocessing methods like image blurring and contrast enhancements to improve model outcomes
Proven ability to build and deploy production-ready code for machine learning models at scale
Understanding of best practices for scalable system design, deployment, and maintenance of machine learning pipelines
Strong problem-solving skills and a passion for tackling complex, unstructured problems in the domain of computer vision
Effective verbal and written communication skills to articulate solutions to both technical and non-technical stakeholders.

Nice to have:

Master’s Degree or Ph.D. in Computer Science, Data Science, Machine Learning, or a related technical field
Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes)
Exposure to modern DevOps pipelines and CI/CD workflows for machine learning deployment
Previous experience working in a hybrid team environment or collaborating with diverse teams.

What we offer:

Access to top jobs
Competitive compensation
Medical insurance
Vision insurance
Dental insurance
Life and disability insurance
Company 401(k) plan
Free online training.

Additional Information:

Job Posted:

March 21, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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