Machine Learning Architect @ Schlumberger Wein- und Sektkellerei GmbH | Jobright.ai
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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

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Machine LearningDeep LearningPythonNeural NetworksNatural Language ProcessingComputer VisionReinforcement LearningData AnalyticsRJavaTensorFlowPyTorchFeature EngineeringData PreprocessingExplainable AIGenerative AIModel OptimizationBackend DevelopmentScalable SystemsFlaskCross-Functional Collaboration

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
Represents job field similar to this job
Trends of Total Sponsorships
2023 (98)
2022 (97)
2021 (114)
2020 (194)

Funding

Current Stage
Growth Stage

Leadership Team

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Benedikt Zacherl
CEO
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