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Applying expertise in multiple modeling methodologies including survival analysis, transition rate modeling, time series analysis, credit scoring, Monte Carlo simulation, Artificial Intelligence/Machine Learning techniques such as neural networks and tree based algorithms etc.
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Defining and driving the AI strategy to create a roadmap detailing the short and long term implementation for CDS, including techniques from RPA (robotic process automation) ML (machine learning), NLP (natural language processing), genAI, etc.
$318,800 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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We are seeking a collaborative bioinformatics and machine learning scientist to join the Computational Design and Predictive Modeling team in Cambridge, MA. You will develop novel bioinformatics and machine learning solutions and apply them to next-generation sequencing (NGS) data to discover and characterize biotherapeutics.
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Broad understanding of modern data science methods, particularly machine learning, in advancing drug discovery (e.g., predictive modeling, generative modeling, retrosynthesis prediction, active learning, explainable ML.
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Expertise in multiple modeling methodologies including survival analysis, transition rate modeling, time series analysis, credit scoring, Monte Carlo simulation, Artificial Intelligence/Machine Learning techniques such as neural networks and tree based algorithms etc.
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Technical challenges on the leading edge of innovation where software and machine learning. Build strong relationships by being a collaborative and dependable teammate across the software and machine learning teams as well as other key organizational stakeholders.
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All-around training in all areas of tool making and conventional soft machining, CNC Machining, hard machining, heat treatment, precision grinding, precision ram EDM, precision wire EDM, mold making, die making, electrode manufacturing, proto-typing, machine assembly and debug, planning, quality and metrology.
$24.15 an hourFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Knowledge of statistical sampling, optimization, machine learning, predictive modeling, and artificial intelligence techniques. Communicates complex subjects in a simple and engaging manner to non-technical and technical business partners using software such as Power Point, Word, Excel, and Tableau.
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Design standard processes for analytical platforms, data engineering, data quality and governance, data science and Machine Learning (ML) methodologies. Demonstrated practical knowledge in the areas of deep learning, LLM/Generative AI.
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Experience with data visualization tools (e.g., Spotfire) and advanced analytics techniques (e.g., machine learning) is required. You will also work with scientists and with experts in data management, lab automation, molecular design, and machine learning in the Global Biologics organization to build and continuously improve data infrastructure.
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You will develop novel bioinformatics and machine learning solutions and apply them to next-generation sequencing (NGS) data to discover and characterize biotherapeutics. We are seeking a collaborative bioinformatics and machine learning scientist to join the Computational Design and Predictive Modeling team in Cambridge, MA.
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Software with a Real Time Operating System (RTOS) (e.g., Wind River VxWorks, Green Hills Integrity, etc.) The Principal Software Engineer in the Advanced Technology department of the Software Engineering Directorate will serve as the Product Owner (PO) for a team developing tactical seeker flight software capabilities for major Advanced Technology missile programs.
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San Francisco and San Jose, California (Hybrid On-Site): $340,500 - $388,700 for Sr Distinguished Machine Learning Engineer. New York City (Hybrid On-Site): $321,500 - $366,900 for Sr Distinguished Machine Learning Engineer.
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WHAT YOU'LL DO As a Global IT Software Engineer Senior Manager - GenAI, you will play a pivotal role in BCG's AI-driven transformation journey. Understanding of SDLC principles and software engineering practices.
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Your key responsibilities will include performing light & heavy repairs on GSE equipment, diagnosing engine mechanical issues and repairing Diesel, gas, and LP. You will also be expected to troubleshoot A/C and D/C electrical systems, read electrical and hydraulic flow schematics, use computer software to diagnose Powertrain Management Systems, repair 80 & 48 volt DC systems, troubleshoot and repair Airstart systems, and accurately complete vehicle repair orders in a timely manner.
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machine learning software jobs Company: Facebook in Quincy, MA
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