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Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Machine Learning and Deep Learning: Good understanding of: ML algorithms like linear regression, logistic regression, etc., supervised, unsupervised, and reinforcement learning, AI Frameworks like TensorFlow, PyTorch, scikit-learn etc., Neural network, NLP, computer vision, and predictive analytics.
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Experience with machine learning frameworks such as TensorFlow or Pytorch, Lightning, Mosaic ML etc. San Francisco, California (Hybrid On-Site): $213,400 - $243,500 for Lead Machine Learning Engineer.
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Machine learning frameworks like TensorFlow or PyTorch. Tensorflow, Pytorch - ML Framework. As a Founding Engineer on our core team, you’ll be responsible for building out the core product: LinkedIn & email integrations, data enrichments, web scraping, and leveraging nascent LLM tooling to perfect our cloning technology to truly capture the essence of how a sales rep would engage with different prospects.
$100,000 - $140,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Use programming languages including but not limited to Python, R, SQL, Java or Scala, SQL. Programming Languages: Python, R, SQL, Java or Scala, SQL. As a Lead, Machine Learning Engineer, you will partner with Data Scientists, Data Engineers, Data Analysts and other professionals to implement machine learning models that will deliver stability, producibility, scalability and integration with other products and services.
$127,100 - $209,800 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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As a Machine Learning Engineer, you will be designing, training and deploying state-of-art AI. Experience in machine learning development life cycle. At Walmart, technology empowers us and people lead.
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Experience with Deep Learning libraries (Tensorflow / Keras, PyTorch, MXNet, etc. Hands-on experience with big data technologies and cloud (Databricks / Spark, Azure/AWS/GCP). Excellent understanding of data mining, predictive modeling, and data visualization.
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4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow. 3+ years of experience of working with DataBricks, SnowFlake, or other data warehouse and data lake products and technologies.
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Preferred skills: NLP, Text mining, Tableau, PowerBI, SAS, Tensorflow. Preferred skills: NLP, Text mining, Tableau, PowerBI, SAS, Tensorflow. Spring boot, Microservices, Docker, Jenkins and REST API's experience.
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San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Lead Machine Learning Engineer. New York City (Hybrid On-Site): $234,700 - $267,900 for Sr. Lead Machine Learning Engineer. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
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Strong programming experience with Python, Tensorflow, Scikit-learn, CUDA and pandas. Experience with Hadoop/Hive, Neo4J, Apache Spark, Kafka and MongoDB is a plus. Strong programming experience with Python, Tensorflow, Scikit-learn, CUDA and pandas.
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Experience with machine learning frameworks such as TensorFlow or Pytorch, Lightning, Mosaic ML on GPU clusters with a focus on distributed training, checkpointing and fault-tolerance. Experience with machine learning frameworks such as TensorFlow or Pytorch, Lightning, Mosaic ML on GPU clusters with a focus on distributed training, checkpointing and fault-tolerance.
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This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Remote (Regardless of Location): $198,900 - $227,000 for Sr. Lead Machine Learning Engineer.
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Background in machine learning with experience in large scale training and deployment of deep neural nets and/or transformer architectures. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC.
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tensorflow job in East Orange, NJ
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