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The Machine Learning Engineer will be responsible for architectural design and planning, advanced data pipelines, model integration and optimization, scalability, performance and research and innovation supporting production AI systems.
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The Machine Learning Engineer role requires experience in Azure OpenAI, Large Language Models (LLMs), Python, and proficiency in developing applications using Streamlit, LangChain, Databricks, and Python frameworks like Flask and FastAPI. The ideal candidate will be adept at building scalable machine learning models and deploying them to production environments, and also being part of customer success teams.
$150ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Clean, preprocess, and transform raw data into a suitable format for machine learning models. Collaborate with data scientists, software engineers, domain experts, and client stakeholders to understand requirements, gather feedback, and integrate machine learning solutions into larger systems or products.
$70 - $80 an hourExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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The Risk and Operations Data Science team is looking for a Data Scientist to develop advanced machine learning models, guide measurement, strategy, and data-driven decision making to support various credit risk and operational areas at SoFi. The Data Scientist will work closely with Credit, Risk, Product, Engineering, and Operations teams to design solutions to support credit underwriting, enhance loan processing, prevent login fraud and account take over, and support loss mitigation, etc.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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As a Data Scientist & Machine Learning Engineer, you will work closely with cross-functional teams and other Hitachi group companies to develop and implement data-driven solutions that drive strategic decision-making and deliver large-scale digital transformation for our clients.
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You must have worked with data scientists and can speak knowledgeably about the major machine learning paradigms, algorithms, and software tools, and can translate data science problem statements into corresponding data, infrastructure, or workflow needs.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Proficient in statistical methods, machine learning, generative AI, causal modeling, probabilistic graphical models, and other advanced data science techniques, especially those focused on the use of multi-modal data.
$150ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Must have a strong background in one or more of the following: Mathematical, Statistics, Probability, Deep Learning, Machine Learning, Natural Language Processing, Computer Vision, Recommendation Systems, Pattern Recognition, Large Scale Data Mining or Artificial Intelligence.
ExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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The Data Science team leads the strategy, development and integration of Machine Learning and Artificial Intelligence. Build production ready prototypes for, and iteratively develop, end-to-end data science pipelines including custom algorithms, statistical models, machine learning and artificial intelligence functions to meet end user needs.
$140,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Promote modern approaches in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Large Language Models (LLMs) within the computational and data ecosystem to advance researcher productivity and scientific discovery.
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Enterprise ai, weak supervision, programmatic labeling, artificial intelligence, machine learning, data science, technology, software, foundation models, LLM, Generative AI, GPT-3, ChatGPT, and NLP.
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5+ years of experience in machine learning workflows: data sampling and curation, pre-processing, model training, ablation studies, evaluation, deployment, inference optimization.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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We are hiring a Machine Learning Engineer to be involved in designing and building large-scale applications and systems to acquire, process, and store multi-terabytes of YouTube, TikTok, Facebook and other social media data.
$150ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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As a member of the Data Engineering team, the Machine Learning Engineer will work closely with Business domain experts and Data Scientists to solve real-world oil and gas midstream problems using advanced analytics, machine learning, and artificial intelligence.
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Possess 2+ years of experience as a Machine Learning Engineer or Data Scientist. The team is dedicated to enhancing the shopping experience and reducing operational costs in the supply chain and logistics ecosystem by developing end-to-end algorithm capabilities using machine learning, operations research, data mining, and causal inference methods.
ExpandApply NowActive JobUpdated 7 days ago
machine learning data strategy jobs Title: vice president Company: Jpmorgan Chase in Wailuku, Hawaii
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