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Experience with machine learning frameworks like PyTorch, Tensorflow or Scikit-learn. Proficiency in Python or R for data analysis and machine learning. Experience with utilizing GenAI LLMs in Python.
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Utilize programming languages like Java, Python, SQL, Ruby and Go, Container Orchestration services including Docker and Kubernetes, CM tools including Ansible and Terraform, and a variety of AWS tools and services.
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Demonstrate ability to write new code i.e., well-documented and stored in a version control system (we use GitHub & Bitbucket) Good to have experience with Cloud Platforms such as AWS, Azure, GCP and Snowflake Good to have strong programming/ scripting skills (Python, PowerShell, etc.
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Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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7+ years of experience in at least one of the following: JavaScript, Java, TypeScript, SQL, Python, or Go. Therefore, we prioritize individuals coming from the following communities: Refugee, Neurodivergent, Single Parent, Blind or Low Vision, Deaf or Hard of Hearing, Black, Hispanic, Asian, Military Veterans, the Elderly, the LGBTQ, and Justice Impacted individuals.
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Advanced proficiency in Python and extensive experience with data engineering and analytics platforms like Databricks. Advanced proficiency in Python and extensive experience with data engineering and analytics platforms like Databricks.
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Experience with JMP, Python, SQL, Spotfire for data analysis is a plus. Experience with JMP, Python, SQL, Spotfire for data analysis is a plus. 2+ years of hands-on process integration and yield improvement experience, preferably at a high-volume wafer fab.
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Certification or completed coursework in Data Analytics, Python (preferred) or R languages, Data Science, Snowflake, AI/ML. Familiarity of Data Strategy, NLP, Machine Learning, Deep Learning, Analytics, MLOps (Machine Learning Operations) would be a plus.
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Expertise with core data science languages (such as Python, R, Scala), and proficiency with key database systems (e.g. SQL, NoSQL). Comfortable working in cloud and high-performance computing environments (e.g. AWS, GCP, Databricks, Apache Spark, Snowflake.
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Preferred skills: NLP, Text mining, Tableau, PowerBI, SAS, Tensorflow. Knowledge of Statistics, SAS, Python, Computer Vision, data visualization tools. entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers.
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Experience in infra-automation tools like Terraform and general programming languages: Ansible, Java, python, Golang. Experience in infra-automation tools like Terraform and general programming languages: Ansible, Java, python, Golang.
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Data science & advanced analytical techniques and technologies (e.g., R, Python, Databricks) Cloud-based data & analytics frameworks (e.g., Azure, Databricks, Snowflake) Data science & advanced analytical techniques and technologies (e.g., R, Python, Databricks.
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