ML Engineer with Python and Pytorch Experience

About Company, Droisys is an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies, and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction. Amazing things happen when we work in environments where everyone feels a true sense of belonging and when candidates have the requisite skills and opportunities to succeed. At Droisys, we invest in our talent and support career growth, and we are always on the lookout for amazing talent who can contribute to our growth by delivering top results for our clients. Join us to challenge yourself and accomplish work that matters. Here's the job details, ML Engineer with Python and Pytorch Experience Fremont, CA-Onsite Interview Mode:- F2F Interview Rate Range-$50 to $53 hr W2 All Inc Description: • Serve as a member of the team software machine learning and computer vision team. Design, develop and implement critical machine learning models that operate on our factory and warehouse environments. Take ambiguous problem statements and build end-to-end models using a variety of techniques and tools like supervised learning, convolutional neural networks, Pytorch, Pandas, etc. Work closely with partners in production, process, controls, quality, etc. to build solutions for the hardest problems faced in our operations. Will take ownership of models in production and ensure there is proper alerting systems in place to rapidly deal with any issues that occur. Must be able to clean and deal with diverse and heterogeneous data sets that combine many modalities like images, multi-spectral sensor outputs, voice, text, and tabular data. • • Minimum Requirements: • In-depth knowledge of Python for high-performance data-intensive applications. • Familiarity with at least one modern deep learning framework (Pytorch, Jax, Tensorflow, etc.) • Expertise in one or more areas like computer vision, large language models, recommender systems, or operations research. • Foundational knowledge of statistics for comparing models and assessing solution feasibility and performance. • Real-world experience deploying and maintaining production machine learning use-cases. • Passion for clean code and sustainable modular code for taking research ideas into production. Droisys is an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Droisys believes in diversity, inclusion, and belonging, and we are committed to fostering a diverse work environment.