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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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As machine learning engineer, you’ll contribute to our ML research and development in areas including data collection, data curation, continued pre-training, ablation studies, evals, creation of hand-crafted supervised fine-tuning data, preference optimization, and state-of-the-art reinforcement learning research.
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4- 8 years of experience as machine learning engineer/data scientist. Aggregate huge amounts of data and information from large numbers of sources to discover patterns and features necessary to build machine learning models for prediction and forecasting.
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Hands on experience in data engineering desired with extensive knowledge of SQL and PySpark, on Databricks Platform. Hands on experience designing, building, and optimizing data pipelines, architecture for large scale data warehousing projects.
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The ideal candidate will possess a strong foundation in data science, with proven expertise in statistical analysis, machine learning algorithms, and data visualization techniques.
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PhD in one of the following fields: deep learning, artificial intelligence, machine learning, computer science, robotics, computer vision, computational neuroscience, signal processing, speech and language technologies, or related fields.
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3+ years of hands-on experience as a quantitative developer developing financial models and software solutions. This is a hands-on development role where you will be 'embedded' within the quantitative research team and will partner with the investment teams on various projects including portfolio construction, risk management, and alpha research.
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Experience managing and analyzing large data sets using data science tools such as artificial intelligence and machine learning. Our structured 10-week internship provides extensive on the job training, in addition to educational speaker events, coaching and mentorship throughout.
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Understanding of strengths and weaknesses in application of Machine Learning and Artificial intelligence to applications in Transaction monitoring and Sanctions screening. Hands on programming skills required in common programming languages and packages like R, Python, C.
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Hands-on experience in a technical role (SQL, data warehousing, cloud data, analytics, or ML/AI), extensive knowledge of and experience with large-scale database technology (e.g. Snowflake, Netezza, Exadata, Teradata, Greenplum, etc.
$241,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Hands-on production experience with orchestration systems such as Airflow. The Data Capture team for the Data organization within the DE&ET organization is in search of a Lead Software Engineer.
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Expertise in data modeling, predictive and prescriptive analytics techniques, machine learning, and SQL query optimization; strong understanding of data governance, data quality, and data security principles.
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Your office will be located in this brand-new 80,000 square-foot ambulatory facility complete with MA’s, RN’s, PA’s, urodynamics, EPIC EMR, full-service on-site imaging center with brand new Siemens MRI and PET CT, ultrasound, and on-site lab.
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Job Description & Requirements*Urology PhysicianStartDate: ASAP Pay Rate: $700000.00 - $700000.00 The Mount Sinai Health System has partnered with Merritt Hawkins to locate a full-time Urologist to join its growing urology program on beautiful Long Island.
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A Ph. D. in Applied Mathematics, Machine Learning, Computational Biology or Computer Science with emphasis on applications in molecular biology and/or computational pathology (required.
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