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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.
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The Vertex AI Machine Learning Engineer will be responsible for developing, deploying, and managing machine learning models using Google Cloud's Vertex AI platform. Synechron is looking for a Vertex AI Machine Learning Engineer.
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Design, develop, and implement scalable machine learning models that enhance data-driven drug discovery, precision medicine, and computational biology. Create and optimize multi-modal machine learning algorithms, using frameworks such as JAX, PyTorch, and TensorFlow, with applications to vision and language understanding.
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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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Machine Learning and Deep Learning: Good understanding of ML algorithms like linear regression, logistic regression, supervised, unsupervised, and reinforcement learning, AI Frameworks like TensorFlow, PyTorch, scikit-learn, neural networks, NLP, computer vision, and predictive analytics.
$263,900 a yearExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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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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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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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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MUST HAVE Master’s in Computer Science, Computer Engineering or related Engineering, Machine Learning, or related field; 3 yrs relevant experience in one of the following: Machine Learning, Natural Language processing, or Ontology Engineering technologies; and required skills.
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Expertise in data engineering workflows, including constructing and maintaining ETL pipelines for machine learning tasks. Strong grounding in deep learning, classical machine learning techniques, and statistical analysis, with experience applying them to complex, large-scale datasets.
$300,000 a yearFull-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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In-depth understanding of modern machine learning (e.g. deep learning methods), models, and their mathematical underpinnings. Algorithm Development and Maintenance: Utilize cutting edge machine learning methods to develop algorithms for personalization, recommendation, and other predictive systems; maintain algorithms deployed to production and be the point person in explaining methodologies to technical and non-technical teams.
$96 an hourFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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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.
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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: big Company: Booz Allen Hamilton in Newark, NJ
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