Machine Learning Engineer (On W2)

Contact Details: 1.Sandeep Bisane Email: sandeep.bisane@peer-consulting.com Cell: (732) 802-7361 Job Title: Machine Learning Engineer (On W2) Location: Fremont, CA Duration: 12 Months+ Years of Experience: 5+ Yrs. Required Hours/Week: 40hrs./Week Job Description: • The end-client is hiring a Machine Learning Engineer for their software machine learning and computer vision team to design, develop, and implement critical machine learning models supporting factory and warehouse operations. • You will transform ambiguous problem statements into robust end-to-end solutions using a variety of machine learning techniques and tools, including supervised learning, convolutional neural networks, and modern frameworks such as PyTorch and Pandas. • You will collaborate closely with partners in production, process, controls, and quality to deliver solutions for the most challenging problems in our operations. • Your work will involve evaluating and deploying models in production environments, ensuring rapid and reliable alerting systems, and addressing operational issues as they arise. • You must be adept at handling diverse, heterogeneous datasets that span multiple modalities, including images, multi-spectral sensor outputs, voice, text, and tabular data. Duties and Responsibilities: • Design, develop, and deploy machine learning models for factory and warehouse environments. • Collaborate with cross-functional teams to identify, define, and solve high-impact operational challenges. • Build and maintain end-to-end machine learning pipelines, from data collection and preprocessing to model deployment and monitoring. • Evaluate and compare models using statistical methods to ensure optimal performance and feasibility. • Ensure robust alerting and monitoring systems are in place for deployed models to address issues rapidly. • Work with diverse datasets, integrating multiple data types such as images, sensor data, voice, text, and tabular information. • Write clean, modular, and sustainable code to translate research ideas into production-ready solutions.