AI/ML Engineer

Job Posting

Job Description:

• 5+ years of hands-on experience in Machine Learning, Deep Learning, or related domains.
• Proven experience building, scaling, and deploying ML models in production environments with measurable impact.
• Strong proficiency in PyTorch (preferred) or TensorFlow, and Python-based ML development.
• Solid foundations in mathematical modeling, including Linear Algebra, Probability, Statistics, and optimization theory.
• Deep understanding of core ML principles: model training, validation, generalization, and performance trade-offs.
• Strong grasp of deep learning architectures including CNNs, RNNs, Transformers, and multimodal models. Clear understanding of when and why to apply each architecture for spatial, temporal, or cross-modal tasks.
• Practical experience in computer vision tasks such as object detection, segmentation, tracking, video understanding, or temporal modeling.
• Familiarity with model optimization and deployment techniques including pre/post training quantization, ONNX, CoreML, and edge deployment.
• Understanding of software engineering guidelines including version control (Git), testing frameworks, CI/CD, and code review processes.
• Strong analytical thinking, problem-solving ability, and curiosity to learn in a fast-evolving AI landscape.
• Excellent communication skills and the ability to collaborate effectively within diverse, high-performing teams.

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.