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This candidate should be proficient in using BI tools such as Tableau, in addition to experience with one or more modern technologies such as relational databases, AWS, Snowflake, Python, Databricks, Git, and Machine Learning.
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In supporting rule analysis, Teammate should be able to Independently perform sophisticated data analytics that fit to the fraud problem being observed (ranging from classical econometrics to machine learning, neural networks, and natural language processing) in a variety of environments using structured and unstructured data.
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The AI/ML Engineer develops technical solutions at the leading edge of Artificial Intelligence, Machine Learning, Genetic Programming, Computer Vision, and advanced data processing, filtering, and fusion techniques in high-performance computing and distributed heterogeneous computing environments.
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Experience in Natural Language Processing, Machine Learning Ops and data pipelines. Lead Machine Learning Engineer. Serve as a subject matter expert in machine learning and fintech domains.
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Accredited Artificial Intelligence (AI) / Machine Learning (ML) certifications (e.g., AWS, Google Data Analytics, Microsoft Azure) Proficient with the core concepts of at least one programming language such as Python, R, and SQL and adept with machine learning frameworks such as TensorFlow and PySpark.
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Data Analyst/AI/Machine learning Positions. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Lead Machine Learning Engineer. New York City (Hybrid On-Site): $234,700 - $267,900 for Sr. Lead Machine Learning Engineer.
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Provides service to the customer base by repairing and overhauling equipment, such as compressors, water pumps, air handlers, and electrical and mechanical control devices in a safe, efficient, and timely manner that exceeds customers’ expectations Provides general repair work on refrigeration, heating, and ventilation equipment, such as air conditioning units, evaporative condensers, ice machine equipment, water pumps, gas furnaces, compressors, and electric motors in a safe and timely manner.
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San Francisco, California (Hybrid On-Site): $291,100 - $332,300 for Distinguished Machine Learning Engineer. New York City (Hybrid On-Site): $274,800 - $313,600 for Distinguished Machine Learning Engineer.
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Analyze key performance indicators and interpret historical data systems' performance to identify, recommend, and implement design changes and modifications that reduce life-cycle costs, improve machine productivity, and/or enhance safety of personnel or the environment.
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The Generative AI Architect, you will apply expertise in data science, specifically in artificial intelligence, machine learning, and software architecture to address sophisticated business challenges.
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Optimize integration between popular machine learning libraries and cloud ML and data processing frameworks. As an Advanced Machine Learning Engineer here at Honeywell, you will provide expert-level technical leadership in the design and development of machine learning algorithms, models, and systems.
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Principal Data Architect - Telecom, Media & Technology - Senior Manager - Consulting - Location OPEN
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EY delivers unparalleled tech consulting services in data strategy, business intelligence, digital, machine learning and Artificial Intelligence. Bachelor’s degree in Technology, Computer Science, Informatics, Statistics, Applied Mathematics, Data Science, or Machine Learning and at least 8-10 years professional consulting experience in industry or in technology consulting.
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Amazon Web Services (AWS) is looking for a world class partner leader to drive enterprise digital transformation initiatives with strategic technology partners in the Artificial Intelligence/Machine Learning Sector.
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machine job Title: lead data scientist in Atlanta, ID, Canada
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