Machine Learning Engineer

NT Concepts is seeking a Machine Learning Engineer to join its team, supporting research, design, and implementation of cutting-edge algorithms for a program focused on building robust computer vision algorithms. The role involves collaborating with a cross-functional team, developing machine learning models and pipelines, and mentoring other engineers. The ideal candidate has 4+ years of experience in developing and implementing ML algorithms, practical experience with PyTorch, NumPy, TensorFlow, and AWS.

Requirements

• 4+ years of relevant hands-on experience developing and implementing ML algorithms
• Practical experience training and deploying Machine Learning models
• Understanding of machine learning techniques and algorithms, data mining, and statistical analysis
• Experience with cloud platform (AWS, Azure and GCP), AWS experience preferred
• Proven experience with modern software development and engineering practices including scrum/agile, Git, and DevSecOps specifically GitLab CI/CD
• Experience building and maintaining machine learning pipelines
• Experience with container applications such as Docker, Kubernetes, OpenShift. Kubernetes is preferred
• Practical programming and scripting skills (Python preferred)
• Understanding of data structures, data modeling and software architecture
• A passion for (and track record of) innovation, an interest in exploring and leveraging new data modalities, and working across interdisciplinary teams
• Experience with synthetic data generation for training and evaluation of ML Models is a plus
• Experience working with customers to better optimize their ML objectives
• Fast learner, analytical thinker, creative, hands-on, strong communication skills
• Able to work both independently and as part of a team
• Excellent problem-solving skills and attention to detail
• Experience working with LLMs for problem solving and code production in a safe and responsible manner

Benefits

• Generous Paid Time Off
• 401k Matching
• Retirement Plan