Data Science & Machine Learning Jobs

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At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow). You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. Senior Machine Learning Engi

Improve model efficiency and output through fine-tuning, prompt engineering, RAG (retrieval-augmented generation), and inference techniques. PyTorch, TensorFlow, HuggingFace, spaCy). Experience working with large, unstructured code and text datasets.

ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. Inform your ML infrastructure decisions using your understanding of ML modeling techniques an

The Machine Learning Engineer will play a key role in Machine Learning Operations and will be for designing, maintaining, and optimizing data infrastructure and model validation pipelines that ensure all AI systems, Generative and Non-Generative, deployed across the Mount Sinai Health System (MSHS)

ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow. Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field. Mgr, Machine Learning Engineering.

You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, inclu

At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow). You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. The MLE role overlaps with m

Curate and prepare datasets, and develop dataset processing algorithms, for in-acquisition and proprietary datasets, including in federated training settings. The AlQuraishi Lab in the Departments of Systems Biology and Computer Science at Columbia University is seeking a Machine Learning Scientist

ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering.

Data Science Adjunct Faculty: Machine Learning, Data Science, Data Visualization (EVENING COURSES) - Spring 2026. Disclaimer: This job description outlines the general nature and key features performed by various positions that share the same job classification. Teaches assigned courses in accordanc

Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in Deep Learning, or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics). As a Data Scientist at Capital One, you’ll be part of a team that’s leading the nex

Consulting and/or CxO roles with 15+ years of progressive technology exposure (AI - including Machine Learning, Natural Language Processing, Deep Learning, Robotics, Product Development, BI, Digital Transformation, Block Chain, Big Data, High Performance Compute, Cloud, etc. Manage a portfolio of me

ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated t

The Vice President of Artificial Intelligence (AI) and Machine Learning (ML) leads the vision and global strategic direction for AI/ML across the enterprise. Demonstrated ability to effectively advocate strategic direction around technical solutions to data science professionals, data engineering te

Deep understanding of business intelligence disciplines, including data engineering, analysis, visualization, predictive, and prescriptive analytics. Teradata and BigQuery for enterprise-scale data management and analytics. Collaborate with the Data Products team to translate cross-functional busine

Practical experience applying machine learning with deep learning frameworks, such as PyTorch, to solve real-world problems. Work with vendors to label data and build robust data extraction and labeling pipelines. Experience incorporating raw sensor data like camera, lidar, radar, IMUs, etc into dee

Implement incremental refresh policies for BigQuery datasets, improving data load efficiency and reducing refresh times. BigQuery, Cloud Storage, and Dataflow. Utilize Power Query for robust data transformation and Power View for intuitive data visualization.

ML frameworks (TensorFlow, PyTorch, Scikit-learn). This personwill lead strategy, delivery, and innovation across Artificial Intelligence (AI), Generative AI, and Machine Learning (ML) service lines. Data & MLOps pipelines, Prompt Engineering, LLM Fine-tuning.

Commitment to incorporation of library, computers, writing and culturally diverse perspective into the curriculum. Commitment to continued assessment of the teaching-learning process and its outcomes. UCNJ Union College of Union County, NJ does not discriminate on the basis of race, color, national