Senior Machine Learning Engineer – Computer Vision

Nexwave
California, United StatesContractPosted Sep 16, 2026

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

Machine LearningComputer VisionDeep LearningPyTorchConvolutional Neural NetworksObject DetectionModel EvaluationModel DeploymentModel MonitoringAmazon SageMaker

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.

Information Technology & Services1,001-5,000 employeesAlpharetta, Georgia