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Experienced with traditional as well as modern machine learning/statistical techniques, including A/B testing, Causal Inference, Regression, Classification, Ensemble Methods, Deep Learning, Natural Language Processing, and Reinforcement Learning.
$160,000 - $230,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Possess a solid understanding of AI technologies, including machine learning, natural language processing (NLP), and computer vision, to facilitate the development and integration of advanced internal tools that enhance analytical capabilities and operational efficiency.
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Specific experience with computer vision, natural language processing (including large language models LLM) preferred. Design, prototype, and test novel clinical and digital interventions and models, leveraging machine learning (including computer vision and natural language processing) to analyze and predict patient outcomes relevant to musculoskeletal, orthopedic, and rheumatological health.
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Experience in Artificial Intelligence, Natural Language Processing, Machine Learning, Distributed Computing, Chatbot, and Virtual Assistant. Experience with Big Data or Hadoop tools such as Spark, Hive, Kafka and MapR.
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Expert level of Advanced and Predictive Analytical Methods e.g., Simulation, Design of Experiments, Genetic Algorithms, Ensemble Methods, Naïve Bayes, Neural Networks, regression, image processing, natural language processing.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Experience with natural language processing, text mining, or machine learning techniques. Experience with distributed data and computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL.
$106,200 - $242,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience in Natural language processing (NLP), Prompt engineering, Embedding, Vector DB. Fuse’s innovation culture and modern product development teams power the evolution of our commercial products and spark the creation of new businesses and products.
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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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Expertise in open source data science technologies such as Python, R, Spark, SQL. Ability to design and implement end-to-end machine learning pipelines for data ingestion, processing, modeling, and deployment.
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Experience in the Design and implementation of AI/ML models and solutions using Google Cloud Platform technologies, including but not limited to Vertex AI , BigQuery, AI Platform, TensorFlow Extended (TFX), Dataflow, and Compute Engine.
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Delivery experience in Data Engineering with Google Cloud Platform including Big Query, Dataflow, Cloud Data Fusion, Cloud Composer, Dataproc, Cloud Pubsub, Cloud Function etc. Possess deep functional and technical understanding of the Machine Learning technologies (Google’s Cloud Platform, custom and COTS-embedded) and provide prescriptive guidance on how these are leveraged across the Fuse landscape.
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Our tech stack includes (but is not limited to) languages and technologies like Golang, Python, SQL, shell scripts, AWS EC2, Athena, Aurora / PostgreSQL, Kafka / MSK, Kubernetes, SQLite, Airflow, Spark, and more.
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Good foundation in Machine Learning (ML), Deep Learning, Large Language Models (LLM) and Natural Language Processing (NLP). Tagged as: Industry , Language Modeling , Machine Learning , Natural Language Processing , NLP , Unspecified.
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As a Computer Scientist/Engineer on the Fraud Team, you will be at the forefront of developing and executing an innovative strategy utilizing Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Large Language Models (LLM), and Multi-Agent Systems to combat a variety of fraudulent activities.
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Implement, train, and fine-tune LLM and GPT-like models on large-scale datasets to ensure optimal performance and accuracy. Encourages informed risk-taking and acts as a catalyst for innovation at Fuse; generates practical, sustainable and creative options to solve problems and create business opportunities, while maximizing existing resources.
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