ML Engineer

Industry: Apparel
Company size: 1-10

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Job description

A globally recognized technology company that is at the forefront of digital transformation, is looking for an ML Engineer. The engineer will be working on projects that redefine industry standards by leveraging cutting-edge machine-learning techniques and deep-learning solutions to enhance computational performance and develop innovative features. The company’s platform integrates advanced ML models, including computer vision, to solve complex problems and deliver unparalleled efficiencies across various applications. This position offers an exciting opportunity to join a team of world-class engineers committed to deploying scalable machine-learning solutions that drive significant impact. Candidates who are looking to make a tangible difference in how technology interfaces with the real world, through the pragmatic application of machine learning and computer vision technologies would be perfect for this position.

Job Responsibilities:

  • Design, develop, and deploy machine learning models, focusing significantly on computer vision and image processing, to meet the innovative product features' needs
  • Employ PyTorch, TensorFlow, and other ML frameworks for model development and iteration, ensuring high efficiency and effectiveness of solutions delivered
  • Collaborate with cross-functional teams to understand requirements, deliver ML-driven solutions, and contribute to project scope definition and execution strategies
  • Implement machine learning lifecycle management, from model development, training, evaluation, and validation, to deployment and monitoring, using tools like MLflow and Kubeflow
  • Optimize machine learning models for performance and scalability, leveraging cloud-based ML services and ensuring seamless model serving in production environments

Job Requirements:

  • Bachelor’s/Master’s degree in Computer Science, Engineering, or a related field, with a strong foundation in statistics, applied mathematics, and algorithm design
  • Minimum 4 years of experience in machine learning, specifically with a focus on PyTorch, computer vision, and deep learning model development and deployment
  • Proven expertise in Python programming and experience with computer vision libraries (e.g., OpenCV) for sophisticated image processing tasks
  • Familiarity with data engineering tools (Pandas, Apache Spark) for efficient data manipulation and analysis
  • Demonstrable experience in evaluating and validating ML models, with knowledge of model optimization and performance tuning
  • Experience with cloud-based ML services (AWS Sagemaker, Azure ML, Google AI Platform) and deployment platforms (TensorFlow Serving, TorchServe, ONNX)
  • Excellent communication skills, with proficiency in both verbal and written English, capable of collaborating effectively in a diverse team environment

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