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Artificial Intelligence Engineer (Agentic Data Engineer)
My3Tech Inc
4 hours ago
Full-time
On-site
East New York, New York, United States
Artificial Intelligence Engineer – Agentic Data Engineer
Location: Richmond, VA 23219 Remote Policy: Mostly remote — must be available to travel to Richmond, VA quarterly Duration: Long-term contract Responsibilities: Gather business needs and translate them to analytics. Produce code that is clearly documented and maintain a version-control system. Develop machine learning models that will address business needs. Effectively communicate analytics results to a range of stakeholders. Qualifications: Demonstrated ability to perform research and communicate analyses to a wide range of audiences. Co-author or principal investigator for 5 or more peer-reviewed publications using advanced computational or statistical analyses and/or advanced ML methods. 10+ years of leading data science projects or teams. Gathers business requirements needed for analytics. Experience mentoring or guiding junior team members. Experience with supervised and unsupervised learning, model selection, feature engineering, and evaluation metrics. Experience with Big Data frameworks like Spark/Databricks. Experience with code version-control systems such as Git. Degree in Computer Science, AI, Data Science, or a related field. MUST HAVE MINIMUM QUALIFICATIONS: Skill/Requirement - Required - Experience Advanced proficiency in Python and/or R - Yes - 10+ Years Knowledge of SQL Databases - Yes - 10+ Years Experience with Spark, GraphDB, Azure Databricks - Yes - 5+ Years Experience training LLMs with structured and unstructured data sets - Yes - 4+ Years Experience with Machine Learning - Yes - 4+ Years Experience with GIS spatial data - Yes - 2+ Years Ph.D. in a STEM field (Natural sciences, Computer Science, Statistics) - Yes
Location: Richmond, VA 23219 Remote Policy: Mostly remote — must be available to travel to Richmond, VA quarterly Duration: Long-term contract Responsibilities: Gather business needs and translate them to analytics. Produce code that is clearly documented and maintain a version-control system. Develop machine learning models that will address business needs. Effectively communicate analytics results to a range of stakeholders. Qualifications: Demonstrated ability to perform research and communicate analyses to a wide range of audiences. Co-author or principal investigator for 5 or more peer-reviewed publications using advanced computational or statistical analyses and/or advanced ML methods. 10+ years of leading data science projects or teams. Gathers business requirements needed for analytics. Experience mentoring or guiding junior team members. Experience with supervised and unsupervised learning, model selection, feature engineering, and evaluation metrics. Experience with Big Data frameworks like Spark/Databricks. Experience with code version-control systems such as Git. Degree in Computer Science, AI, Data Science, or a related field. MUST HAVE MINIMUM QUALIFICATIONS: Skill/Requirement - Required - Experience Advanced proficiency in Python and/or R - Yes - 10+ Years Knowledge of SQL Databases - Yes - 10+ Years Experience with Spark, GraphDB, Azure Databricks - Yes - 5+ Years Experience training LLMs with structured and unstructured data sets - Yes - 4+ Years Experience with Machine Learning - Yes - 4+ Years Experience with GIS spatial data - Yes - 2+ Years Ph.D. in a STEM field (Natural sciences, Computer Science, Statistics) - Yes