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As a Machine Learning Engineer, you will partner with Data Scientists, Data Engineers, Data Analysts and other professionals. Machine Learning and Deep Learning: Good understanding of: ML algorithms like linear regression, logistic regression, etc., supervised, unsupervised, and reinforcement learning, AI Frameworks like TensorFlow, PyTorch, scikit-learn etc., Neural network, NLP, computer vision, and predictive analytics.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Bachelor's or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field. The Vertex AI Machine Learning Engineer will be responsible for developing, deploying, and managing machine learning models using Google Cloud's Vertex AI platform.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Design, develop, and implement scalable machine learning models that enhance data-driven drug discovery, precision medicine, and computational biology. Collaborate with interdisciplinary teams, including computational biologists, bioinformaticians, and data scientists, to apply machine learning insights in transforming biotech products and services.
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Strong software engineering skills with a track record of developing data-driven machine learning systems or products. Proficiency in Python and relevant deep learning frameworks - both training (e.g. PyTorch, Tensorflow, JAX) and serving (e.g., Hugging Face TGI/Transformers/Adapters/outlines, vLLM.
Full-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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As a VP, Principal Machine Learning Engineer, you will partner with Data Scientists, Data Engineers, Data Analysts, and other professionals to implement machine learning models that will deliver stability, producibility, scalability, and integration with other products and services.
$263,900 a yearExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Strong foundation in data infrastructure tooling (e.g., Spark, Airflow, AWS, Databricks) and machine learning infrastructure. Oversee the development and maintenance of scalable data and machine learning infrastructure utilizing tools such as Spark, Airflow, AWS, and Databricks.
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A strong educational background in Bioinformatics, Computational Biology, Computer Science, Machine Learning, Mathematics, or a related field is required, along with a JD from an ABaccredited law school.
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Big data/machine learning and AI techniques, including neural network and deep learning frameworks and machine learning tools (e.g., TensorFlow, Theano, Torch, Keras.
$215,100 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Expertise in data engineering workflows, including constructing and maintaining ETL pipelines for machine learning tasks. Build and maintain robust ETL pipelines to prepare and process data for training and deploying machine learning models.
$300,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Required skills include (3 years exp in): Python or R; Tableau or PowerBI; data analytics; predictive analytics; and (2 years exp in): Machine Learning or Artificial Intelligence software development/software engineering in Azure.
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Designing, researching and developing natural language processing (NLP) models and machine learning algorithms to get insights from structured and unstructured data. BS or MS in Data Science, Machine Learning, Statistics, or related STEM field Proficiency in Python.
Full-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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7+ years of experience developing machine learning models and performing data analysis with Python or R. In-depth understanding of modern machine learning (e.g. deep learning methods), models, and their mathematical underpinnings.
$96 an hourFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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You are experienced with the lifecycle of machine learning, data science, data and ML pipeline design, and have a deep understanding of how they can be deployed and orchestrated in a cloud-based infrastructure.
$300,000 a yearFull-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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You will be responsible for building end-to-end machine learning solutions, implementing models in production, and working with various data frameworks and tools such as Python, Spark, and Databricks.
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In this role, you'll employ scalable cutting-edge machine learning (ML), deep learning (DL), and Natural Language Processing (NLP) techniques to detect and predict fraudulent activities, enhance fraud investigation capabilities, and develop advanced fraud protection and defense mechanisms.
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machine learning jobs Title: data Company: Booz Allen Hamilton in Newark, NJ
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