Senior Machine Learning Engineer – Computer Vision
About the role
Role : Senior Machine Learning Engineer – Computer Vision
Location: Remote
Duration: 12+ Months
Exp : 10+
Rate: $70/hr C2C/1099 (OR) $60/hr on W2 (Max)
Location : Need only California profiles
Must-Have Skills
7+ years in Machine Learning, with strong production-grade Computer Vision Deep Learning experience.
Expert hands-on PyTorch and/or TensorFlow.
Strong experience with CNNs, image classification, object detection, segmentation, localization, and feature extraction.
Proven experience building, training, evaluating, optimizing, and deploying CV models into production for real clients/products.
Experience with transfer learning, backbone/architecture selection, hyperparameter tuning, error analysis, and model optimization.
Experience handling large-scale image datasets and multi-GPU/distributed training.
Strong MLOps experience: model versioning, deployment, monitoring, retraining, and production ownership.
Hands-on experience with AWS SageMaker and cloud-based ML pipelines.
Strong technical leadership, architecture reviews, and mentoring experience.
Do Not Submit
Candidates primarily focused on GenAI, Agentic AI, LLMs, RAG, NLP, traditional ML, academic/POC projects, or pre-built computer-vision APIs without substantial production CV deep-learning experience.
Stephen
Lead Talent Acquisition Specialist
Email : stephen@nexwaveinc.com
Responsibilities
- Design, train, and deploy production-grade computer vision models for real-world clients and products.
- Provide technical leadership through architecture reviews and mentoring of other engineers.
Qualifications
- 7+ years in Machine Learning with strong production-grade Computer Vision Deep Learning experience
- Expert hands-on PyTorch and/or TensorFlow
- Strong experience with CNNs, image classification, object detection, segmentation, localization, and feature extraction
- Proven experience building, training, evaluating, optimizing, and deploying CV models into production
- Experience with transfer learning, backbone/architecture selection, hyperparameter tuning, error analysis, and model optimization
- Experience handling large-scale image datasets and multi-GPU/distributed training
- Strong MLOps experience: model versioning, deployment, monitoring, retraining, and production ownership
- Hands-on experience with AWS SageMaker and cloud-based ML pipelines
Skills mentioned
About Nexwave
We are an Info Tech - Solutions and Talent Management organization, curating a growth induced ecosystem for our clients across industries to help achieve mutual goals with our robust solutions. With presence in India, USA, UK and Europe, we work towards providing synergy driven client experiences through process of implementing IT solutions in their business functions. Nexwave is also a key contributor in managing IT talent for clients through various outsourcing models that can be tailored to business requirements.