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Cloud Platforms: Familiarity with cloud environments (AWS, Google Cloud, Azure) and services related to data storage, processing, and machine learning (e.g., S3, EMR, BigQuery, Databricks.
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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. A Ph. D. or equivalent in computational biology, bioinformatics, machine learning, or a related field is preferred.
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Strong familiarity with OpenCV and practical project experience, as well as proficiency in machine learning frameworks (such as PyTorch, LibTorch, TensorFlow). Image Processing and Optimization: Develop deep learning algorithms for image dehazing, denoising, shadow removal, distortion correction, and color correction to improve image quality.
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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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Experience in assessing and implementing new data tools to enhance the machine learning stack. 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.
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A modern productivity toolset to get work done: Slack, Miro, Loom, Lucid, Google Docs, Atlassian and more! Adoption and Surrogacy Assistance Plan! Experience with orchestrating complex workflows and data pipelines using like Airflow or similar tools.
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Completed BS, MS, or PhD in Computer Science, Mathematics, Statistics, Data Science, Engineering, Operations Research, or other quantitative field. Knowledge in domains such as recommender systems, fraud detection, personalization, and marketing science.
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Experience with Git, CI/CD pipelines, Docker, Kubernetes. Experience with building batch and streaming pipelines using complex SQL, PySpark, Pandas, and similar frameworks. Experience with developing data APIs, Microservices and event driven systems to integrate ML systems.
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Work from home / work remote 100%! This Jobot Job is hosted by: Reed Kellick. Strong programming skills in Python and understanding of core computer science principles. Eligible for donation matching to over 1.5 million nonprofit organization.
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Experience with architecting solutions on AWS or equivalent public cloud platforms. Experience with MLOps practices such as automated model deployment, model performance monitoring, data drift detection, etc.
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401k with dollar for dollar match, up to 6% of eligible earnings (base, bonus). A competitive base salary between $155k and $235k, depending on experience! Dice is the leading career destination for tech experts at every stage of their careers.
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100% REMOTE Senior ML Ops Engineer / Lead Machine Learning Engineer Needed for Growing Subsidiary of a Large Public Company! Senior Machine Learning Operations Engineer. 100% REMOTE Senior ML Ops Engineer / Lead Machine Learning Engineer Needed for Growing Subsidiary of a Large Public Company.
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The Research Computing Center (RCC) seeks to hire an experienced Computational Scientist – Scientific–AI and Machine Learning to serve as a domain expert in supporting and advising faculty, post-docs, and graduate students on projects in a wide range of research domains.
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machine learning jobs Title: health Company: Leidos Inc in Missouri-city, Missouri
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