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We’re looking for a Machine Learning Engineer who will build out and design machine learning infrastructure for a team of data & remote sensing scientists, working collaboratively with the Analytics and Software teams to deliver data-driven products and solutions.
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In depth understanding of Machine Learning / Deep Learning / NLP concepts. Stay updated with the latest industry trends in AI and machine learning, and continuously look for opportunities to apply these advancements to improve the LLM infrastructure.
$339,250 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are a growing subsidiary of a large public company that is hiring a talented Lead ML Engineer / Senior Machine Learning Engineer! 100% REMOTE Senior ML Engineer / Lead Machine Learning Engineer Needed for Growing Subsidiary of a Large Public Company.
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Experience with frameworks and libraries for machine learning & AI such as scikit-learn, HuggingFace, PyTorch, Tensorflow/Keras, MLlib, etc. 5+ years of practical experience in building, evaluating, scaling, and deploying machine learning pipelines with Python, preferably within the AWS ecosystem.
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Ability to design, train, and evaluate machine learning and AI models while adhering to best practices including model selection, validation, bias/variance tuning, performance assessment, sensitivity analysis, dimensionality reduction, etc.
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While not mandatory, we highly value candidates with expertise in machine learning (ML) and experience in developing custom chatbot agents. - Machine Learning and Chatbot Development: Develop and integrate custom chatbot agents, leveraging ML techniques such as model chaining, fine-tuning, and function calling to enhance user interactions and automate processes.
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Machine Learning | Infrastructure | AI | Python | SQL | Software Engineering| Deep Learning | Pytorch | Tensorflow. As a Machine Learning Engineer, you can expect to earn anywhere from $140,000 -150,000 (depending on experience) and highly competitive benefits including equity.
$150,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Machine Tool Research (MTR), a leading US builder of large machine tools, seeks a creative detail-oriented Design Engineer. Proficiency in 3D CAD modeling using Autodesk Inventor or similar software.
$80,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with cloud platforms such as AWS, Azure, or GCP. Familiarity with machine learning concepts and frameworks is a plus. NOTE: THIS POSITION IS TO JOIN AS W2 ONLY. Data Engineer with Databricks Location: Remote Duration: 6+ Months Daily Responsibilities: Design, develop, test, deploy, maintain, and improve software applications and services.
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Experience in assessing and implementing new data tools to enhance the machine learning stack. Plus additional company contribution! Familiarity with Snowflake, Monte Carlo, RDS, DynamoDB, Kafka, Fivetran, dbt, Airflow, Docker, Kubernetes, EMR, Sagemaker, DataDog, PagerDuty, Atlan, Data Observability tools and Data Governance tools.
$235,000 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Research Software Engineer, Machine Learning. Waters Global Research is looking for an energetic and creative machine learning engineer to join the team and help bring technologies in analytical instrumentation to the forefront of the industry.
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The Vertex AI Machine Learning Engineer will be responsible for developing, deploying, and managing machine learning models using Google Cloud's Vertex AI platform. Synechron is looking for a Vertex AI Machine Learning Engineer.
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Developing software and algorithms, machine-learning algorithms, or artificial intelligence techniques and applying them to digital RF signal processing, RF engineering or spectrum theory, communication systems, electronic warfare, SIGINT processing, or related areas is also a plus.
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The Machine Perception Engineer will be responsible for developing and implementing computer vision and machine learning algorithms for automated fashion production processes.
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ROLE – Machine Learning Engineer. MAIN SKILLS – Experience working in an AWS Cloud environment, Proficiency in Python, Strong experience in ML frameworks and libraries such as PyTorch or TensorFlow, Experience with FEA software (e.g., Abaqus) and scripting, including element technologies and material models, Solid understanding of deep learning architectures such as CNN, RNN, and transformers, Hands-on experience with large-scale data processing and analysis.
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machine learning software engineer plus jobs Title: management engineer
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