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Experience using a machine-learning framework (PyTorch, TensorFlow, etc) Captivation Software is looking for a mid level software engineer who will be responsible for designing, developing, and sustaining pipelines that enable machine-learning model training as well as large scale inference in a Kubernetes-based environment.
$125,000 - $250,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Machine Learning Engineer.
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Or Java, and experience with AI frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn. or Java, and experience with AI frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn.
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Exposure to building models from big data using modern machine learning packages and data analysis stacks such as NumPy, SciPy, Scikit-learn, Pandas, Keras, Tensorflow, PyTorch, CNTK or NLTK. Experience working with large data sets using big data processing frameworks (e.g. Azure Data Lake, HDFS/Hadoop, Spark or other cluster computing/MapReduce frameworks) and/or public cloud infrastructure (Azure, AWS, Google Cloud) for building, evaluating, or deploying machine learning or NLP models is a plus.
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Strong knowledge of Python libraries and frameworks relevant to data science and AI (e.g., pandas, NumPy, scikit-learn, TensorFlow, PyTorch, spaCy) rather than general frameworks like anaconda which is a distribution.
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Experience with using GPUs for machine learning using frameworks, including PyTorch or TensorFlow. Across private and public sectors — from fraud detection, to cancer research, to national intelligence — you know the answers are in the data.
Full-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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AI usage and understanding of the concept of Diffusion, Zero-Shot, torch, cuda, tensorflow, hardware acceleration (Stable Diffusion, SAM, Llava, Mistral, Groq, etc. AI usage and understanding of the concept of Diffusion, Zero-Shot, torch, cuda, tensorflow, hardware acceleration (Stable Diffusion, SAM, Llava, Mistral, Groq, etc.
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Bachelor's degree in Computer Science, Statistics, Mathematics, Physics, Applied Mathematics, or Engineering. Experience with application areas of machine learning, including computer vision, natural language processing, and learning on graphs.
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And JavaExperience using libraries and frameworks such as TensorFlow, PyTorch, Spark ML/MLlib, and JupyterExcellent verbal and written communication skillsAbility to multi-task and stay flexible in a dynamic work environment.
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Net, Python; Data Technologies: Oracle, Cassandra, Elastic Search, Aurora, NiFi, Cribl.io LogStream, Splunk, Hadoop, Tensorflow, Jupyter. Software/Tools: AWS, Docker, Jira, VMware vCenter/vRealize, Kubernetes, Jenkins, Ansible, Prometheus, and Grafana; Cloud Native: AWS EC2, AWS CDK, S3, CloudWatch, CloudFront, CloudConfig, Elastic Container Services (ECS), DynamoDB, RDS, ElasticSearch, PowerBI, Tableau.
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Familiarity with machine learning libraries and frameworks like PyTorch or TensorFlow. Founded in 1995 at the start of the dot-com revolution, TechFlow helped large commercial clients such as Dreamworks, Toshiba, MGM, and others modernize their business systems.
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Experience with AI/ML model development using Pytorch or other AI/ML platforms like Tensorflow. Experience with container-related technologies like Podman, OpenShift or Kubernetes. You will work alongside our GPU and Hardware Accelerator teams, who will be integrating hardware support for the AI components that this AI/ML team is building.
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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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Experienced with general programing, statistical languages, and deep learning packages used to manipulate data and build statistical and machine learning models at a large-scale, such as Python, Spark, PyTorch, Tensorflow, Keras, SQL, and SQL-like query languages for NoSQL databases.
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Proficiency in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). Familiarity with data engineering concepts and tools for data processing and storage, such as Matillion, SQL, and Snowflake.
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tensorflow job in Linthicum Heights, MD
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