You should be strong in core data science and applied machine learning, comfortable working with real-world data, and capable of turning modeling work into production-ready systems. We’re hiring a mid-to-senior Machine Learning Engineer / Data Scientist to build and deploy machine learning solutio
As a Data Scientist / Data Analyst / Data Science Specialist for Adidev Technologies Inc. Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorFlow, PyTorch), Spacy, MongoDB, PostgreSQL, Flask, streamlet and a good knowledge of data pipelines construction. Strong quantitative abilities
You are comfortable working in modern cloud data warehouses with SQL to prepare data for modeling, and can collaborate effectively with data engineers on production pipelines. You have 6+ years of experience in machine learning roles building and shipping statistical or machine learning models into
The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skill
Initial appointment is for one year with the possibility of renewal based on performance and funding availability. For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination
Certification Support Boost your rsum with IBM Data Science, AWS Data Analytics, Microsoft Power BI, and morewhile building real-world, deployable projects that hiring managers love. Machine Learning (supervised/unsupervised), TensorFlow, Deep Learning, NLP. Infrastructure-as-code and cloud data pl
Raise the quality bar for ML engineering by establishing best practices for data quality, model governance, reliability, privacy-aware design, and operational excellence. Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineer
Ability to use Python/PySpark for exploratory data analysis and modeling. Experience in modern deep learning architectures and probabilistic models. Machine Learning Data Scientists.
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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.
This role involves supporting and evolving the company's enterprise analytics platform through data engineering, analytics delivery, and reporting, focusing on cloud data platforms like Snowflake and Power BI. The ideal candidate will have a strong background in SQL, Python, and modern cloud archite
Quick learning and adaptability to new areas. Minimum 5 years of experience as a project manager in relevant fields such as data science, semiconductor, manufacturing, or metrology. Ability to simplify complex concepts.
For California only (as required by California’s Pay Transparency for Pay Equity Act (SB 1162): A good faith estimate of the expected salary for this position in our California office salary range that the employer reasonably expects to pay for the position upon hire is $164,403 - $193,545. Job De
This role supports the evolution of the enterprise analytics platform, focusing on data engineering and reporting using modern cloud data platforms such as Snowflake and Microsoft Fabric. The ideal candidate has a Bachelor's Degree and at least three years of related experience, with strong SQL, dat