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Panda Intelligence is currently representing a novel oncology-focused Biotech with roots in MIT and one of the most prominent tech accelerators in the US, with the team currently seeking a Senior Computational Chemist with machine learning expertise ahead of advancing their AI-driven small molecule drug discovery pipeline.
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Catchlight is seeking a dynamic Director of Engineering to lead our team in developing products using machine learning, large language models (LLMs), modern web applications, APIs, microservices, and cloud-native architecture.
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Familiarity with machine learning techniques and software (e.g., scikit learn, PyTorch, TensorFlow, Keras) Proficiency in at least one of the following data science software tools: pandas, tensorflow, scikit-learn, luigi, nipype, mne, statsmodels, pymc3.
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Write sub-components of our software stack from scratch, such as database schemas, analysis pipelines and new analysis algorithms, cloud infrastructure and related IaC, full stack web interfaces, machine learning models, and APIs that will be consumed both by our own services, and by customers.
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Programming, FPGA programming, digital design, digital signal processing, image processing, data analysis or artificial intelligence / machine learning. Job Description The group seeks a summer intern to assist our engineering staff with advanced concept demonstrations in the areas of data analysis, algorithm development, software development, and digital signal processing.
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As a Software Development Manager for the AEC Solutions group, you will lead your team to build data pipelines to power our work in artificial intelligence, deep learning, generative AI, machine learning, reinforcement learning, information retrieval, and natural language processing.
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Responsibilities include providing technical contributions as a software engineer for a wide range of projects involving machine learning (ML) and artificial intelligence (AI), including autonomy, sensing and communication, and decision support systems, among others.
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This individual will apply their skills in machine learning, image processing, computer vision, mathematics, optics, and software engineering to develop algorithms to be integrated into onto’s innovative inspection platforms.
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Analog Devices, Inc. (NASDAQ: ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world.
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Lead and mentor a team of Data Scientists, Research Scientists, Machine Learning Engineers, and Software Engineers. An advanced degree (undergraduate, M.S. or equivalent experience) in Operations Research, Statistics, Applied Mathematics, Physics, Data Science, or equivalent quantitative fields such as Engineering, Computer Science with a background in machine learning.
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The ideal candidate will combine expertise in software engineering management with an understanding of AI, bioinformatics, computational biology, or pharmaceutical sciences. Proven experience in AI, machine learning, or data science, with a focus on applications in drug discovery, bioinformatics, or healthcare.
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Databricks Machine Learning Associate or Machine Learning Professional Certification. Typical solutions will utilize machine learning, artificial intelligence, statistical analysis, automation, optimization, and/or data visualizations.
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PREFERRED : solid knowledge of organic and polymer chemistry with high throughput experimentation (HTE) and traditional EIS or other electrolyte/battery experience; experience with biologic potentiostat and EC-lab software and thermal analysis (DSC, TGA); working computer science skills in common languages such as Python, R, or VBScript; and experience with design of experiments (DOE) and analysis of large datasets.
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AI Software Developer ,Vice President ,HybridWho we are looking for Our mission is to explore, enable and exploit artificial intelligence, machine learning, natural language processing, cognitiveputing and intelligent automation at scale with applicability into the financial data, risk and global markets.
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Software development and delivery cycleArchitecting large scale systemsExperience in Cloud technologies including Docker, Kubernetes, AWS, Azure, GCPNodeJS or PythonREST APIsExperience with the following areas:Building and evaluating Natural Language Processing Related Machine Learning ModelsMLOps in automating Machine Learning Model services refreshing cycleIntegrating Machine Learning Model services with existing runtime conversation handling system.
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