FEWI DEVELOPMENT CORP. Senior Developer ML CV NLP in MILWAUKEE, Wisconsin

JOB REQUIREMENTS: Senior Developer-Computer Vision or Natural Language Processing Location: Milwaukee, WI Travel Required: # of Openings: 1 Attention Developers! Are you interested in joining a multi-billion dollar, cutting-edge organization? Foxconn, the world's largest electronics manufacturer, is hiring at their corporate headquarters in Milwaukee, WI! About Foxconn Our new home in Southeastern Wisconsin includes facilities in Racine and our North American headquarters in downtown Milwaukee. Headquartered in Taiwan, Foxconn helps build products for many of the leading U.S. and international brands and household names in electronics. Foxconn also contributes to the development of a vibrant global 8K-5G ecosystem. Foxconn's state-of-the-art $10 billion campus in southeastern WI is expected to create over 13,000 jobs and be the size of 11 Lambeau Fields! The Ideal Candidate The ideal candidate will have a rare combination of skills to push the leading edge in Natural Language Processing (NLP) or Computer Vision (CV) and produce working systems that are demonstrably better than the existing state of the art. They will be able to apply these trained models to diverse industries not yet leveraging AI yet or can be easily adapted to serve these industries. Responsibilities: Design and develop NLP or CV methods that ingest large unstructured data sets, separate signal from noise, and provide personalized insights that directly improve our analytics platform Develop innovative methods for processing and storing data Interrogate analytical results to resolve algorithmic success, robustness, and validity Work as a tech lead and define the roadmap for your team Build advanced machine learning models and improve the accuracy of those models Crunch terabytes of data and build models from large dataset Deploy the models in production for partners and customers Work alongside machine learning researchers and define the right solution to implement Be able to quickly convert an idea to a demonstration Foxconn provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Foxconn complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, and transfer, leaves of absence, compensation and training. ***** OTHER EXPERIENCE AND QUALIFICATIONS: Bachelor's Degree in Computer Science, Artificial Intelligence, Machine Learning, or related field required; Master's Degree or PhD preferred Knowledgeable with Data Science tools and frameworks (i.e., Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark) Basic knowledge of machine learning techniques (i.e., classification, regression, and clustering) Understand machine learning principles (training, validation, etc.) Knowledge of data query and data processing tools (i.e., SQL) Apply industry-leading ideas, research, and insights to solve complex problems or to power new business opportunities Experience in building speech recognition, machine translation, and natural language processing systems (e.g., commercial speech products or government speech products) Experience deploying highly scalable software supporting millions or more users Experience with integrating applications and platforms with cloud technologies (e.g., AWS, Azure) Experience with Natural Language Processing (NLP) and Natural Language Understanding (NLU) or Computer Vision (CV) Excellent critical thinking and problem-solving skills Strong communication (written and oral) and interpersonal skills Keen attention to detail Excellent accountability, self-motivation and follow-through to ensure work is properly upporting the goals of the extended Product Development team ***** APPLICATION INSTRUCTIONS: Apply Online: ipc.us/t/E257BD475BED48BB