Senior Machine Learning Engineer
October 29
Description
• Responsible for supporting software design and overall product lifecycle. • Involved in designing and implementing AI/ML algorithms for software products. • Collaborates with product team to create reliable machine learning solutions. • Fields questions from other teams and provides application support for production software.
Requirements
• Must be eighteen years of age or older. • Must be legally permitted to work in the United States. • 2 - 4 years of relevant work experience. • Expertise in ML development and ML ops lifecycle. • Experience working with multiple leading ML models. • Experience tracking key metrics for ML performance. • Familiarity leveraging GenAI models. • Experience with Data Analysis and Machine Learning Tools and Libraries like Jupyter Notebooks, Pandas, SciPy, Scikit-learn, Gensim, tensorflow, pytorch, etc. • Experience in Google Cloud Platform and AI/ML related components such as Vertex AI, BigQueryML. • Experience in effective data engineering practices and big data platforms such as BigQuery, Data Store. • Experience in a modern scripting language (preferably Python). • Experience with GPU acceleration (i.e. CUDA and cuDNN). • Experience in modern web application framework such as Node.js. • Experience in writing SQL queries against a relational database. • Experience in version control systems (preferable Git). • Experience in a CI/CD toolchain. • Experience in REST and effective web service design. • Familiarity with production systems design including High Availability, Disaster Recovery, Performance, Efficiency, and Security. • Familiarity with NoSQL databases. • Familiarity with cloud computing platform and associated automation patterns and machine learning services they provide. • Familiarity with defensive coding practices and patterns for high Availability. • Familiarity with A/B testing and effective REST design for scalable web services architecture.
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