Consulting and technology- enabled by cloud, guided by data, fueled by apps, and secured by design.
Machine Learning • Digital IT Strategy • Big Data • Microsoft Solutions • Agile Transformation
201 - 500
April 24
Consulting and technology- enabled by cloud, guided by data, fueled by apps, and secured by design.
Machine Learning • Digital IT Strategy • Big Data • Microsoft Solutions • Agile Transformation
201 - 500
• Work with stakeholders to identify key metrics and opportunities for improving business processes, products, and services • Perform EDA (exploratory data analysis) • Expertise in NLP and NLG • Good knowledge and understanding of LLM and its techniques, like RAG, RLHF, Prompt Tuning, etc. • Good understanding of ML Ops, LLM Ops, and/or FM Ops • Build, deploy, and maintain data management systems and back-end data infrastructure for our business intelligence pipeline • Create data visualizations, reports, dashboards, and data audits • Design, train, and implement machine learning algorithms • Leveraging techniques like the ensemble to create high-performing ML Models
• Bachelor's degree in data science, data analytics, or related field • Master's degree or Ph.D. in a quantitative field, such as statistics, computer science, mathematics, or engineering • Proficiency in Python, R, C#, Java, or Kotlin • Knowledge of data science toolkits such as R, NumPy, and MatLab • Experience with big data analytics technologies such as Spark/Databricks and Hadoop • Experience with data visualization tools such as PowerBI and Tableau • Expertise in data mining and machine learning • Working knowledge of statistical models and business intelligence • Familiarity with cloud-based infrastructure • Ability to store and process unstructured data with NoSQL databases and machine learning models
• 11 paid holidays • Generous Accrued Time Off increasing with years of service • Generous paid sick time • Annual day of service
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