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Job Description :We are looking for a seasoned Machine Learning Engineer specialized in Large Language Models (LLMs) to drive the development and deployment of cutting-edge AI solutions.
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We are on the forefront of CBRN defense and we are looking for talented Data Scientists that have applied experience in the fields of artificial intelligence, machine learning and/or natural language processing to join our team.
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We are interested in a variety of topics including large-scale distributed systems, stream processing, edge computing, applied machine learning and AI, big graphs, natural language processing, big data management, and heterogenous data analytics.
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Explore various statistical and machine learning models, explore data features, generate metrics, and evaluate results associated with collection and analysis of chromatographic and mass spectrometric data.
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Utilize expertise in computational biology, machine learning, and bioinformatics to develop and optimize algorithms and models for the analysis of high-dimensional biological data.
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Proficiency with image processing, machine learning, and deep learning techniques. We use cutting-edge technologies such as highly multiplexed antibody-based imaging (Akoya Phenocycler), spatial transcriptomics (seqFISH), and single-cell omics, combined with innovative computational approaches, to delineate the mechanisms underlying chemo and immunotherapy resistance.
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The Research Data Scientist participates in biomedical research projects using programming, data-mining, statistics, machine learning, and visualization techniques to develop, evaluate, and/or apply algorithms and software for data analysis.
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Our client has several senior software engineering opportunities with various focuses including embedded Linux administration, machine learning, UI development, autopilot software and system architectures.
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What Additional Experience Makes A Strong Candidate: 4+ years of production experience with Scala 4+ years of production experience with Micro Services / Streaming Services Experience addressing ML problems, particularly in domains such as Time Series, Computer Vision (CV), Natural Language Processing (NLP), and data mining Proficiency with popular ML frameworks (Xgboost, TensorFlow, PyTorch, etc.
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Experience with ARM architectures, Raspberry Pi, Nvidia Jetson and other embedded platforms preferred·Knowledge of Visual Studio This is an exciting opportunity for a skilled Senior Software Engineer to contribute to cutting-edge projects in fast growing company supporting consumer and defense drone development.
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The ideal candidate will have a strong background in embedded software engineering (particularly Debian-based Linux distributions) or UI development within Qt and will have a background with or personal interest in small unmanned systems (i.e. drones.
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Leverage Databricks for data engineering, analytics, and machine learning tasks within application development. Experience with Databricks for data engineering and analytics, including familiarity with Spark, Delta Lake, and MLflow.
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Experience with data modeling, ETL/ELT development, data integration and orchestration techniques Experience with designing and developing end-to-end data and analytics solutions leveraging Azure Data Lake, Azure Databricks, and Data Factory Nice to Have: Experience with designing scalable data analytics architecture to implement advanced analytics solutions, including machine learning and AI, to extract actionable insights from data.
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As a Senior Data Scientist for our team, you'll leverage your expertise in machine learning, deep learning and reinforcement learning to create large-scale, personalized recommendation models for our omni-channel retail platform, with a focus on exploring and implementing cutting-edge technologies like Large Language Models (LLM's.
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Ready to utilize your engineering management experience to lead a team of talented data engineers and drive innovative solutions on cutting-edge platforms like Azure and Snowflake.
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machine learning cutting edge data engineering jobs Title: data engineer Company: Kharon
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