| AI Engineer || Local to CA || Onsite Interview at Remote, Remote, USA |
| Email: [email protected] |
| From: Tanul, 3b staffing [email protected] Reply to: [email protected] MAx rate $50/hr Non Negotaible. Visa: N o Visa Restrictions AI Engineer Location: Redmond, WA 98052 OR San Francisco, CA 94104 (1 00% O NSITE ) (2 open roles) Length: 12 months Start: 3-4 weeks Onsite interview Must Haves: Bachelor's Degree and 2 years exp. Exp. w/ Machine Learning, analysis, and modeling of large scale and complex data sets in Industry scenarios. Proficient in Cognitive analytics like text analytics, image recognition, video analytics etc Python, PySpark, R, SQL, etc. and tools like Databricks, Azure ML and Azure Cognitive Services (at least 2) Knowledge of DevOps workflows, Git, containers, CI/CD, etc. Overview: AI Engineer role is responsible for developing scalable AI solutions aligned to a business strategy and benefits case. Skills and experiences: Demonstrable professional experience with applying Machine Learning, analysis, and modeling of large scale and complex data sets in Industry scenarios. Highly skilled in statistical analysis, quantitative analytics, forecasting/predictive analytics, simulation and optimization algorithms. Proficient in one or more statistical modeling tools and Cognitive analytics like text analytics, image recognition, video analytics etc.- proficient in model identification by use case/industry and knowledge of applying models to enterprise use cases. Highly proficient with two or more languages, such as Python, PySpark, R, SQL, etc. and tools like Databricks, Azure ML and Azure Cognitive Services Software engineering experience using DevOps principals (Knowledge of DevOps workflows, Git, containers, CICD, etc.) Good communication and presentation skills. Able to explain complex analytical methodologies and concepts in non-technical language to audiences at multiple skill levels. Bonus Skills : Preference for prior experience working with Azure or cloud-based technologies such as AWS or GCP but not required. About you: You likely possess a degree in Applied Mathematics, Statistics, Analytics, Economics/Econometrics, Engineering or another relevant field in the industry. An equivalent combination of education and experience will also suffice. You likely have about 2 years of demonstrable experience across the advanced analytics space, preferably in a consulting environment or a combination of experience and relevant education. Keywords: continuous integration continuous deployment artificial intelligence machine learning rlang California Washington AI Engineer || Local to CA || Onsite Interview [email protected] |
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| Thu May 30 20:24:00 UTC 2024 |