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As a Staff ML Ops Engineer at SiriusXM, you will be a key player in our Data Platform Team. Your role will be pivotal in deploying, managing, and optimizing machine learning (ML) models, leveraging advanced tools like Databricks and MLFlow.
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Experience With Machine Learning Libraries and Frameworks (TensorFlow, MLlib, Pandas, Numpy) is an added advantage. Experience with Continuous integration and deployment tools like Jenkins and Azure DevOps.
$77,400 - $160,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Spark, Nvidia Triton Server, Kubernetes, YuniKorn, Kueue, Helm, AWS, EKS, EC2, S3, VPC, NLB, Ingress, Java, Go, Python, Splunk, Grafana, Prometheus, distributed systems, cloud computing, machine learning, inference, data processing frameworks, automation, optimization.
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LLM Lead with Deployment experience and NLP experience related to Data Science- Deep Learning. Proven experience as a Data Scientist, with a focus on machine learning, LLM, and Deep Learning.
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Contribute across the data science and machine learning development stack: idea development, opportunity sizing, prototyping, testing, and deployment. Build and help set direction across the entire machine learning development process to implement machine learning algorithms in production, including exploratory data analysis, data modeling, feature engineering, model training and tuning, testing, deployment, and monitoring.
$178,000 - $235,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Set the strategic direction across several areas within modeling across the enterprise:New statistical model/scorecard development across Fraud, Marketing, Credit and potentially other areas of the business,Management of the existing suite of models,Collaboration with technology on a machine learning platform deployment,Lead the team in applying sophisticated machine learning methods to a wide variety of complex tasks, andOverall 1st line governance for model risk management.
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Azure/ AWS/ GCP certifications, AWS Machine Learning Specialty, Google Certified Cloud Engineer and Deeplearning.ai certifications on LLMs, prompt engineering. At least 5 years of extensive experience in Machine Learning algorithms development, Deep Learning ( should be an expert in Neural networks including but not limited to , ANN, CNN, RNN ( LSTM ( BiLSTM, GRU both.
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We are seeking a Backend Engineer with a strong foundation in AWS, cloud service deployment, and machine learning (ML) model deployment, including large language models (LLMs.
$150Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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As a Senior Machine Learning Engineer, you will work on building AI/ML solutions across a wide range of business applications. Experience developing and deploying Machine Learning solutions on cloud platforms (e.g., AWS, Azure, or GCP.
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As a Machine Learning Engineer, you’ll develop ML-based metrics for evaluating an autonomous vehicle system offline at large scale. Machine Learning development experience.
$250ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Familiarity with Azure services related to AI and ML, such as Azure Machine Learning, Azure Cognitive Services, and Azure Databricks. Our team is seeking a Senior Data Scientist / Machine Learning Expert with specialized experience in Generative AI and Large Language Models (LLMs), chatbots, and natural language processing to contribute to transformative projects for a government client within the Department of Homeland Security (DHS.
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2-5+ years of experience in wide range of statistical and machine-learning techniques (e.g. time series analysis, NLP, deep learning and etc.) Collaborate with and support the Treasury desk, Financial Technology, model validation and Risk management in model creation, methodology and testing documentation, validation and remediation, signoff, maintenance and production deployment.
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Machine Learning Engineering - Dallas, TX (Hybrid) Optimize machine learning algorithms and infrastructure for performance, scalability, and cost-efficiency. Deploy machine learning models into production environments, ensuring scalability, reliability, and real-time performance.
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Noblis is seeking to hire a Machine Learning (ML) Ops Engineer with an ACTIVE Top Secret with SCI and Polygraph in Chantilly, VA. The Data Scientist has familiarity with industry best practices for software/hardware optimization when processing large data sets and offers experience in the following required task areas: experience with machine learning, statistical modeling, time-series forecasting, and/or geospatial analytics; experience with Hadoop, Spark, or other parallel storage/computing processes is a plus.
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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deployment machine learning jobs Title: platform engineer Company: Progressive Insurance
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