Data Science & Machine Learning Jobs

Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorFlow, PyTorch), Spacy, MongoDB, PostgreSQL, Flask, streamlet and a good knowledge of data pipelines construction. Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization mod

Senior Machine Learning Engineer, Data & Intelligence Products. In this role, you will help lead the evolution of AcuityMD's core healthcare data assets by applying statistical and machine learning techniques to convert messy, real-world health data into insight about the healthcare market. You have

We’re hiring a mid-to-senior Machine Learning Engineer / Data Scientist to build and deploy machine learning solutions that drive measurable business impact. Strong Python skills for data analysis and modeling (pandas/numpy/scikit-learn or equivalent). Use SQL and Python to extract, join, and anal

Machine Learning Data Scientists. Ability to use Python/PySpark for exploratory data analysis and modeling. Experience in modern deep learning architectures and probabilistic models.

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This role demands a visionary leader with a proven track record in deploying AI/ML solutions at scale, strong technical expertise in machine learning algorithms, deep learning frameworks, and big data technologies, and excellent leadership, communication, and strategic thinking skills. The Company i

Depth of technical understanding in cloud, big-data platforms and machine learning. EPM, Applied Machine Learning, AI & Data Platforms (AiDP). Apple's Applied Machine Learning team has built systems for a number of large-scale data science applications.

Technical Lead Manager, Machine Learning, Memory Subsystem Design. Design for Test, Signal/Power Integrity, Packaging, Physical Design, Software, Silicon Validation, Silicon Engineering) to plan and execute throughout the development cycle. As Technical Manager for TPU DRAM, you will develop and val

Responsibilities Design data collection/creation tasks in response to science needs: author instructions, define and implement quality targets and mechanisms, provide day-to-day coordination of data collection efforts (including planning, scheduling, and reporting), and be responsible for the final

Minimum 5 years of experience as a project manager in relevant fields such as data science, semiconductor, manufacturing, or metrology. Quick learning and adaptability to new areas. Relevant education, such as a major in Data Science, Business Analytics, or Computer Science.