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Sr Machine Learning Engineer - Austin, United States - TensorIoT
Description
Job Description
Job DescriptionAccepting remote candidates in the following states: Arizona, California, Colorado, Delaware, Florida, Georgia, Idaho, Maryland, Minnesota, Nevada, New York, North Carolina, Ohio, Pennsylvania, Tennessee, Texas, Virginia, Washington, and Wisconsin.
TensorIoT an APN Advanced Consulting Partner. We help companies realize the value and efficiency of the AWS ecosystem. From building PoCs and MVPs to production ready applications, we are tackling complex business problems every day and developing solutions to drive customer success.
TensorIoT is looking for skilled machine learning engineers to join our Machine Learning & AI Team We are currently trying to grow our Machine Learning practice with enthusiastic and smart data scientists who have excellent analytical and communication skills and a track record of using end-to-end data science workflows to build ML/DL/AI models. The individual would be responsible for finding and implementing ML solutions to a broad scope of customer needs in a dynamic industry setting.
Basic Qualifications:
-AWS Certification (Solutions Architect Associate, Developer, DevOps, or ML Specialty)
-Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related highly quantitative field
-5+ years of experience in data science, statistical modeling, machine learning algorithm development, or a related field
-Experience with collecting, cleansing and parsing data
-5+ years of experience working with ML Ops pipelines such as AWS SageMaker or equivalent.
-Proficient in programming languages such as Python or R, and familiar with data science libraries such as NumPy, Pandas, PySparks, popular Python stats libraries and data visualization tools
- Proficient in one or more ML frameworks such as TensorFlow, PyTorch etc.
- Experience with ML algorithm optimization and hosting. Familiarity with GPU accelerator libraries such as TensorRT.
- Experience with SQL and database technologies such as MySQL, PostgreSQL, or MongoDB
- Familiar with container deployments
-Ability to present and communicate complex technical concepts to a broad audience of stakeholders
-Strong written and verbal communication skills
Preferred Qualifications:
-PhD in a highly quantitative field (Computer/Information Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.)
-Track record of diving into data to discover hidden patterns
-Track record of building ML or DL models in a production environment
-Computer vision / time series analytics experiences
-Consulting experience and track record of helping customers with their AI needs
-Experience with AWS technologies for storage, compute and ML
-Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment