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3+ years of significant, hands-on industry experience with machine learning, natural language processing (NLP), and information retrieval systems, including designing, shipping, and maintaining production systems.
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Apply advanced machine learning, graph analytics, data mining, statistical methods, algorithms, and time series models to vast amounts of user data to derive insights based on the knowledge graph (ontology.
$160,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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The principal Machine Learning Engineer at WGU is both a visionary leader and a hands-on builder. Hands-on experience with one or more deep learning frameworks like PyTorch, TensorFlow, Hugging face, LangChain, LlamaIndex, etc.
$197,000 - $305,300 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Our customer is seeking a dedicated and detail-oriented individual to join their team as an Azure Data Engineer, with hands-on experience with various Azure services including but not limited to Azure Data Factory, Databricks, Data Lake, and Power BI. They should be able to design build, and maintain ETL pipelines, manage data lakes and create insightful reports and visualizations.
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Data Architecture & Tools: modern cloud data platforms (Snowflake, Databricks, Big Query, RedShift), data analytics tools (Tableau, Looker, Power BI), data programming models (DataFrames, pandas), and AI (Python, R, Jupyter Notebooks, data wrangling, machine learning.
$165,060 - $242,830 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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With a focus on leveraging cutting-edge machine learning techniques, this company is dedicated to developing low-cost sensors and innovative solutions to interpret complex signal data.
$175,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Demonstrated expertise in machine learning, deep learning, and NLP, with a strong portfolio in large language models like GPT-3, BERT, and RAG.Advanced proficiency in Python, with hands-on experience in ML libraries and frameworks such as TensorFlow and PyTorch.
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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.
$127,100 - $209,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Keywords: MLOps, Machine Learning Operations, ML Infrastructure, AIOps, Sofware Development, AWS, Amazon Web Services, Bedrock, Sagemaker, Vertex AI, Docker, Kubernetes, K8s, Containers, Containerization, Ansible, Terraform, IaaC, SaaS, Postgres.
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The ideal candidate will have a strong background in AWS, Redshift, Snowflake, dbt, Python, building ETL pipelines, and Machine Learning. Hands-on experience with dbt for data modeling and transformations.
$160,000 - $161,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Ph. D. or Master’s degree in Computer Science, Electrical Engineering, Statistics, or a related field with a focus on machine learning or artificial intelligence. Familiarity with cloud platforms and services (e.g., AWS, Google Cloud, Azure) for deploying machine learning models.
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The ideal candidate will have a strong background in software development, natural language processing (NLP), and machine learning (ML), along with a passion for creating intuitive and user-friendly conversational interfaces.
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Collaborate with the Helping Hands Social Services Program Officer and work closely with the Grants Manager to prepare grant agreements, maintain grant records, and set up payment and reporting schedules.
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We are seeking a talented and motivated machine learning engineer to join the team leveraging extensive clinical data resources to develop, validate, and deploy cutting-edge ML technology.
$97,000 - $145,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Excellent theoretical understanding and real hands-on experience with deep learning and a range of more classical supervised and unsupervised machine learning methods, including but not limited to ensemble learning techniques (e.g. boosting, Random Forests) kernel methods (e.g. SVM), (non-linear) dimensionality reduction and feature selection methods are required.
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hands on machine learning jobs Title: solutions architect Company: Databricks Inc in Jersey City, NJ
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