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You have in-depth understanding of applied machine learning algorithms, especially NLP, and statistics. You have hands-on experience with data analytics and data engineering.
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We're on the lookout for a candidate who blends robust software engineering expertise with a solid grounding in natural language processing (NLP), adept at bringing machine learning models from concept to production.
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Subject matter expertise in one or more of the following: Artificial Intelligence (AI), Natural language Processing (NLP), Machine Learning (ML), Statistical Models, and Text Analytics on large data sets.
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5+ years hands-on development in LLM, Diffusion, GNN models for drug discovery / RNA, DNA / synthetic biology. Please click on the ‘Easy Apply’ button or alternatively email me your resume at.
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Apply advanced machine learning, graph analytics, data mining, statistical methods, algorithms, and time series models to vast amounts of user data to derive insights based on the knowledge graph (ontology.
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In this role, you will be responsible for leading the development of advanced machine learning models and systems, with a focus on NLP and LLM. You will work closely with other engineers and data scientists on the team to design and implement efficient and effective data pipelines, and ensure that these pipelines are integrated seamlessly into our overall technology stack.
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Roboflow is hiring our first research engineer on the machine learning team to drive research initiatives that improve the growing suite of machine learning tools that underpin the Roboflow application.
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Skills Required: Python Machine Learning Scala Apache Spark Reinforcement Learning AWS. About the Job: I am representing an innovative and rapidly growing company that is seeking a highly skilled Machine Learning Engineer.
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Workspace Services: Capital team is looking for a hands-on Senior Data Scientist II to undertake multiple advanced analytics initiatives like Forecasting, Predictions etc that will enable us deliver Operational Excellence and provide actionable insights to business users.
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Provide insights and guidance on best practices in machine learning, and contribute to the strategic direction of our technology. We are seeking a skilled and innovative Machine Learning Engineer to join our team.
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Hands-on experience with at least one main stream deep learning framework such as PyTorch, TensorFlow, and ONNX. The candidate will join a multi-disciplinary team of scientists and engineers and work on a full stack of developing cutting edge Computer Vision (CV) and Machine Learning (ML) methods based on data from a variety of sensors.
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2-5+ years of hands-on Python, SQL, Typescript/Javascript and Linux development experience. 2-5+ years of experience in wide range of statistical and machine-learning techniques (e.g. time series analysis, NLP, deep learning and etc.
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Develop and optimize machine learning algorithms and models using Python, with a focus on performance and scalability, working very closely with the Data Scientists. Leverage data science frameworks like TensorFlow, PyTorch, and Spark ML to build robust and scalable machine learning solutions.
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Experience or interest in interactive machine learning, HCI, human-centered ML and LLM evaluation, etc. Run machine learning experiments independently and in collaboration with product and research teams, and communicate results to internal stakeholders as well as the broader ML community via publications in top-tier conferences, industry conference presentations, deep technical blogs, and events.
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Experience leading end-to-end machine learning projects. Our ML Engineers work in close collaboration with Product, Data Analysts, Design from all across TIDAL. We use many models from simple heuristics to deep learning to build our recommender systems.
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hands on machine learning jobs Title: solutions in Jersey City, NJ
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