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Machine Learning Engineer

Company: Denken Solutions
Location: Boston
Posted on: November 23, 2020

Job Description:

Currently, we are looking for talented resources for one of our listed clients. If interested please reply to me with your updated resume or feel free to reach out to me for more details at 949-236-6488. Title Machine Learning Engineer Location Boston, MA Duration Long Term Job Description The Purpose of Your Role The individual will engage in high profile data science and artificial intelligence projects working closely with multiple business units to define and implement next generation AI-based production solutions. Candidates must be comfortable in a fast-paced, unpredictable and sometimes ambiguous environment working with current and emerging AI technologies. This is a multi-disciplinary role requiring both expert model-building and software engineering skills, so the successful candidate will be capable of developing and supporting core, reusable AI capabilities across many areas, and must have a proven record of providing thought leadership on end-to-end AImachine learning pipelines and related components for other data science associates. Education and Experience PhD or MS in Computer Science, Physics, Engineering, Information Technology, Applied Mathematics, or related fields with, preferably, 5-7 years of experience prototyping and deploying MachineDeep Learning solutions into production environments. Hands-on experience with one or more of the following Deep learningneural network architectures, reinforcement learning, generative modeling, conversational AI, virtual assistants, automated speech recognition, unstructured text pipelinesmodeling, anomaly detection, text summarization, classification, especially with NLNLUNLGP-related language models and encoders, e.g., Word2Vec, Glove, Bi-LSTMs, Attention Models, BERT, ALBERT, DeepCT, etc. Expertise with deep learning frameworkstools such as TensorFlow, PyTorchPyCharm, Keras, MXNET, andor H2O Fluent in data science programming languages such as Python, R and at least one other programming language, e.g., CC++, Scala, Julia, Java, Go, especially on GPU. CUDA experience is a plus. Engineering expertise for building production MLDL model containers and pipelines at scale, specifically with Kubernetes, Docker, and big data technologies, AWS-related experience a plus, e.g., SageMaker, EKS, S3, SQS, Kinesis, Snowflake, shell scripting, etc. In-depth knowledge of softwareengineering lifecycle and principles (source controlgit, debugging, testing, Jenkins, deployment, model retraining, CICD).

Keywords: Denken Solutions, Boston , Machine Learning Engineer, Other , Boston, Massachusetts

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