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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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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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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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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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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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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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The ideal candidate will have a strong background in AWS, Redshift, Snowflake, dbt, Python, building ETL pipelines, and Machine Learning. Hands-on experience with dbt for data modeling and transformations.
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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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Assistant Facility Manager (Hands-On / Available Immediately) In addition to rigorous, joyful and engaging academics, Public Prep emphasizes social-emotional learning as critical to supporting the whole child.
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Databricks Certifications (ie: Data Engineer Associate; Data Engineer Professional, Machine Learning Associate, Machine Learning Professional) Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, GCP, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
$119,025 - $198,375 a yearFull-timeExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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3+ years of significant, hands-on industry experience with machine learning, natural language processing (NLP), and information retrieval systems, including designing, shipping, and maintaining production systems.
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You are curious, always learning, and keep a close eye on latest developments in the fields of Machine Learning and Artificial Intelligence. Keep up-to-date with the latest advancements in machine learning and artificial intelligence to stay current on emerging techniques and trends.
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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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hands on machine learning jobs Title: solutions architect sr in Hoboken, NJ
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