Senior Machine Learning Engineer (Анализ и Управление данными)

Talent Map the recruitment agency (Автомобили / Запчасти / Ремонт)
Дата публикации: 07  Март  2022
Зарплата*
224000 USD
2 688 000 USD в год
Местоположение
Соединённые Штаты Америки, Техас, Даллас
Разрешение на работу
Удалённая работа

Описание вакансии

Our client - leader and innovator in automotive industry is looking for a Senior Machine Learning Engineer capable of using machine learning and statistical techniques to create state-of-the-art solutions for non-trivial, and arguably, unsolved problems. If you are results driven, interested in how to apply advanced Machine Learning techniques, would love to work with vehicle telemetry data and video, are deeply technical, highly innovative and long for the opportunity to build solutions for challenging problems that directly impact the company's bottom-line, we want to talk to you.

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 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
Write maintainable, extensible, tested code, while complying with coding standards
Work with Product Owners to define the KPIs for machine learning projects
Mentor, guide, and train more junior team members
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 clients global vision
Develop and foster collaborative relationships with product, business, and engineering teams to effectively serve our customer needs

Qualifications:
5+ years of production experience working in Data Science or Software Engineering
3+ years of production experience in Machine Learning, Computer Vision, and/or Signal Processing
Solid experience with Natural-language processing (NLP)
Ability to write clean, concise, tested, maintainable code in Python
Solid production experience with Deep Learning using TensorFlow and/or PyTorch
Strong fundamentals in problem solving, algorithm design and complexity analysis
Ability to design and implement machine learning pipelines in a production environment
Experience working in a team oriented, Agile software engineering environment
Experience with deployment including knowledge of CI/CD, containerization, and related concepts
Proven ability to learn and apply new technologies, programming practices, patterns, and methods
Ability to train more junior team members in multiple Machine Learning and Deep Learning concepts
Experience with embedded systems or audio processing is a plus
Experience implementing solutions in a cloud environment (AWS or Azure) is a plus
Experience working with data science in automotive telematics data and video is a plus
Experience working with edge computing is a plus
We think the knowledge acquired earning an BS in Computer Science, Engineering, Mathematics, or a related field would be of great value in this position, but if you're smart and have the experience that backs up your abilities, for us, talent trumps degree every time

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