Swish Analytics · 4 days ago
Machine Learning Engineer - NLP
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Insider Connection @Swish Analytics
Responsibilities
Design, prototype, build and deploy NLP systems that extract valuable insights from league data, historical matchups, open source data, etc.
Experience turning raw, unstructured data with open-ended project guidelines, into actionable production-level products
Design and implement machine learning models using Natural Language Processing (NLP) to analyze sentiment analysis around players to determine expected output
Research and stay updated on the latest advancements in recommendation systems and NLP
Maintain and promote best practices for software development, including deployment process, documentation, and coding standards
Internet text source gathering and preprocessing using scraping, APIs, and link crawling
Contribute to technical and product discussions, and share knowledge and ideas with colleagues across the company
Qualification
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Required
Bachelor degree in Computer Science, Applied Mathematics, Data Science, Computational Physics/Chemistry or related technical subject area
Minimum of 5+ years of demonstrated experience developing and delivering effective machine learning models to serve business needs
Minimum of 2 years of relevant experience building NLP systems from ideation to production
Proficient in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods
Production experience with modern packages such as NumPy, SciPy, Scikit-learn, Pandas, Keras, Tensorflow, PyTorch, CNTK, Spacy, Gensim, NLTK
Strong communication skills when discussing technical concepts with technical and non-technical colleagues
Company
Swish Analytics
Swish Analytics operates as machine learning system for sports.
H1B Sponsorship
Swish Analytics has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Trends of Total Sponsorships
2022 (1)
Funding
Current Stage
Growth StageTotal Funding
$8.73MKey Investors
Telstra Ventures
2019-05-29Series B· $6.91M
2018-07-03Series Unknown· Undisclosed
2016-05-27Seed· $1.8M
Recent News
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2023-08-17
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