Schlumberger Wein- und Sektkellerei GmbH · 1 day ago
Machine Learning Architect
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Responsibilities
Lead the design and implementation of state-of-the-art machine learning models and algorithms to solve complex business problems.
Utilize various techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning, to extract insights from large datasets.
Conduct exploratory data analysis to uncover patterns, trends, and relationships in the data.
Identify relevant features and variables for model development and feature engineering.
Develop data preprocessing, cleansing, and augmentation strategies to improve model performance.
Ensure that machine learning models are transparent and interpretable by utilizing explainable AI techniques.
Develop methods to interpret model predictions and comprehend model behavior, especially in high-stakes or regulated domains.
Lead the development of backend services and infrastructure to support machine learning applications across various platforms and surfaces, ensuring seamless integration with existing systems.
Design GPU optimized model pipelines to efficiently process diverse data modalities, including images, vectors, and 3D assets.
Design internal AI platforms and frameworks for model inference and deployment and develop highly scalable and resilient systems to efficiently handle large-scale machine learning workloads.
Collaborate closely with cross-functional teams of data scientists, software engineers, and product managers to employ innovative architectures and cutting-edge techniques to develop optimized solutions for business problems and offer technical leadership to ensure alignment with organizational goals.
Qualification
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Required
Master’s degree, or foreign educational equivalent, in Computer Science, Mathematics, Physics, Applied Science, or a related STEM field, plus 2 years of post-baccalaureate experience in job offered or any Machine Learning/engineering related job titles.
2 years of experience in data analytics, developing Machine Learning (ML) algorithms, optimization methods, and Deep Learning (DL) and Neural network libraries to optimize neural networks and train and evaluate different models.
2 years of experience in Natural Language Processing, Computer Vision Technologies, Reinforcement learning, and semi-supervised learning.
2 years of experience in Software development and programming skills with databases and ML frameworks.
2 years of experience in data science development tools and languages including R, Python, Java, TensorFlow, PyTorch, Flask.
2 years of experience in developing technologies for inference, predictive modeling, general-purpose data-driven modeling, and optimization of systems.
2 years of experience in Generative AI technologies and Foundational Models.
2 years of experience in processing multivariate data sets collected from equipment operations, manufacturing tests, and diagnostic routines.
Benefits
Health, vision, and dental insurance for you and your dependents available from day 1
Global adventure, broad exposure, and limitless learning await you.
Our exceptional and diverse people are the pulse and spirit of who we are.
BlueFLEX offers you more flexibility for a better work-life balance and empowers you to continuously perform at a high level regardless of where you're working from.
Company
Schlumberger Wein- und Sektkellerei GmbH
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H1B Sponsorship
Schlumberger Wein- und Sektkellerei GmbH has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2023 (98)
2022 (97)
2021 (114)
2020 (194)
Funding
Current Stage
Growth StageRecent News
2024-12-18
Houston Business Journal
2024-12-17
2024-12-17
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