| Data Scientist :: Hybrid at Plano, Texas, USA |
| Email: [email protected] |
| Data Scientist Hybrid Location: Plano, TX only local to Plano or Dallas Duration: 12 months Visa: GC/USC Only Client: TOYOTA Interview: Skype+ F2F Need LinkedIn with profile Picture! Required skills: Experience in Data Science and Machine Learning: Data Science 8+ Years 5+ Years in Machine Learning, Computer Vision, Signal Processing, and/or Natural Language Processing (NLP). Python, SQL, and Machine Learning Frameworks: Python (including NumPy), TensorFlow, and/or PyTorch. Big Data Technologies: Apache Spark. ML and Apache Spark are a must. Senior Data Scientists will prototype, design, and implement predictive models and algorithms. They will lead the full life cycle including data cleansing, feature creation, and iterative model selection. They will write maintainable and extensible tested code that adheres to standards, produce specifications, and determine operation feasibility, and troubleshoot, debut, and upgrade existing systems. Responsibilities: Use statistical and machine learning techniques to create scalable solutions for vehicle telemetry data and video analysis, and perform R& D to drive discovery of new generation mobility products. Establish scalable, efficient, automated processes for large scale data analysis, model development, model validation and model implementation. Drive adoption of best practices across organizations. Deliver production-ready code. Work with Product Owners to define the KPIs for machine learning projects. Stay abreast of developments in research methodology and changing technologies in the marketplace and proactively identify applications of these latest developments to improve existing methods. Prepare and present findings to both technical and non-technical audiences. Work within the constraints of time, budget, and resources capacities to align with global vision. Develop and foster collaborative relationships with product, business, and engineering teams to effectively serve our customer needs. Qualification: 8+ years of production experience working in Data Science or Software Engineering. 5+ years of production experience in Machine Learning, Computer Vision, Signal Processing, and/or Natural Language Processing (NLP). Solid production experience using Python (including NumPy) and SQL. Solid production experience using TensorFlow and/or PyTorch. Production experience with Apache Spark. Strong fundamentals in problem solving, algorithm design and complexity analysis. Experience implementing Machine Learning pipelines in production environments. Hands-on experience with web APIs, containers, CI/CD and testing. Experience from working in Agile Scrum environments. Experience implementing solutions in a cloud environment (AWS, Azure, or Google Cloud). Experience working with data science in automotive telematics data and video is a plus. Experience in edge computing is a plus. Sunny soran Allegis IT 7039930447 [email protected] -- Keywords: continuous integration continuous deployment machine learning rlang information technology green card Texas Data Scientist :: Hybrid [email protected] |
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| Wed Aug 28 18:45:00 UTC 2024 |