Sr. Machine Learning Engineer, SMAI

Sr. Machine Learning Engineer, SMAI

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Job Description

Our vision is to transform how the world uses information to enrich life. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing.
Responsibilities include, but not limited to:
  • Build and maintain data/solution pipelines that feed machine learning models
  • Work in a technical team through development, deployment, and application of applied analytics, predictive analytics, and prescriptive analyticsusing machine learning and artificial intelligence
  • Design andoptimizedata structures in data management systems (Hadoop,Snowflake,and Cloud platforms) toenableAI/ML solutions.
  • Build custom software components and analytics applications
  • Create/Maintain CI/CD pipelines of machine learningsolutionsin the cloud

Education Qualifications:
  • Technical Degree required. Computer Science or Statistics background highly desired

Minimum Qualifications:
  • Experience in building and executingend-to-end ML systemsautomatingtraining, testing and deploying Machine Learning models
  • Familiarity with machine learning frameworks (TensorFlow,PyTorch,scikit-learn, etc.)
  • Familiarity with software architecture (data structures, data schemas, etc.).
  • Software development skills and the desire to work on cutting edge development in a Cloud environment
  • Strong scripting and programming skills in one of the following, PythonorJava
  • Experience with continuous integration/continuous delivery (CI/CD) tools (Jenkins, Git, Docker, Kubernetes)
  • Experience developingMachine Learning or A.I. solutionswith either Python, AWS, AZURE, GCP
  • 3+ yearsbuilding scalableETLpipelines
  • 3+ years of experience with big data processing and/or developing applications and data sources
  • 3+ years of strong working knowledge of databases (Oracle, MSSQL,Snowflake, orBigQuery)
  • Outstanding analytical thinking, interpersonal, oral and written communication skills
  • Proficiency in the Microsoft Office suite
  • Ability to prioritize and meet critical project timelines in a fast-paced environment
  • Self-motivated and team oriented

  • Deep knowledge of math, probability, statistics and algorithmsDemonstrated ability to study and transform data science prototypesinto production solutions
  • Knowledge of computer vision and/or signal processing including techniques for classification and feature extraction

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