Data Scientist PhD at Kforce Technology Staffing in Boston, MA
Kforce Technology StaffingBoston, MA
Data Scientist PhD
RESPONSIBILITIES Kforce has a client that is currently sourcing for a Senior Data Scientist andor Full Stack Machine Learning Engineer to work in Boston, MA. We are looking for engineers with strong backgrounds in computer scienceengineering to build and support complex, scalable AI frameworks, models, tools and APIs for a variety of Artificial Intelligence initiatives across the firm.
SummaryThe 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. Candidate 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.
REQUIREMENTSPhD or MS in Computer Science, Physics, Engineering, Information Technology, Applied Mathematics, or related fields with, preferably, 5-7 years of experience prototyping and deploying Machine.
Deep 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 Tensor.
Flow, 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 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 Kforce is an Equal Opportunity.
Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
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