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Machine Learning Engineer

Corps Team

Atlanta (GA)

Remote

USD 140,000 - 180,000

Full time

4 days ago
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Job summary

A startup cybersecurity firm in Atlanta is hiring a Machine Learning Engineer to lead crucial machine learning initiatives. Candidates should have 2-3 years' experience in deploying ML applications, with expertise in Computer Vision and data security. This fully remote role offers a competitive salary and the chance to work in a dynamic environment.

Qualifications

  • 2-3 years deploying and maintaining ML applications at scale.
  • Experience with scaling products and managing real-time workloads.
  • Proficient in Python and machine learning frameworks.

Responsibilities

  • Lead the design, development, and maintenance of ML applications.
  • Implement advanced Computer Vision techniques.
  • Collaborate with teams to identify ML solutions for business problems.

Skills

Machine Learning
Computer Vision
Image Processing
Predictive Analytics
Python
Problem-solving

Education

Bachelor's or Master's degree in Computer Science, Data Science, or a related field

Tools

TensorFlow
PyTorch
scikit-learn
Docker
AWS

Job description

Posted: 04/07/2025 Employment Type: Fractional Recruiting Industry: Information Technology Job Number: 17423 Field of Expertise: InformationTechnology Remote Friendly: Fully Remote

Job Description

Our client, a startup cybersecurity firm focused on serving the real estate industry is looking for a Machine Learning Engineer to join their growing team. This role can either be remote based anywhere in the United States, or hybrid in Atlanta, GA.

Seeking a highly skilled and motivated Machine Learning (ML) Engineer with 2-3 years of experience to join their team and help lead core initiatives for machine learning at the company. The ideal candidate has proven experience building and deploying ML applications at scale, expertise in Computer Vision + Image Processing, and a solid understanding of data security and predictive analytics.
Key Responsibilities

  • Lead the design, development, and maintenance of ML applications at scale
  • Ensure scalability, performance, and efficiency of ML applications
  • Design and implement advanced Computer Vision techniques for similarity, feature extraction, classification, and object detection.
  • Collaborate with cross-functional teams to identify and implement ML solutions for business problems
  • Develop and implement best practices for ML model development, deployment, and monitoring
  • Stay current with the latest advancements in ML and AI, and integrate new technologies when appropriate
Required Qualifications
  • 2-3 years of experience deploying and maintaining machine learning applications at scale (ML Ops)
  • Proven ability to scale products and manage real-time workloads
  • Bachelor's or Master's degree in Computer Science, Data Science, or a related field
  • Strong proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or scikit-learn
  • Familiarity with cloud platforms, particularly AWS, and containerization technologies like Docker
  • Experience with predictive analytics and implementing forecasting models
  • Excellent problem-solving skills and attention to detail
Preferred Qualifications
  • Familiarity with cybersecurity concepts and fraud detection techniques
  • Experience working in a startup environment
  • Contributions to open-source ML projects

Base Salary $140,000-$180,000. Final determination of salary will be based on an evaluation of experience, education, budget, etc.

Melissa has 9 years of technical recruiting experience within IT, Engineering, and Professional Service industries.She thoroughly enjoys connecting and helping candidates & clients in finding the right fit. Melissa has a bachelor’s degree in social work with a minor in psychology from Southern Illinois University.

Corps Team is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

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