Seneca Resources
Artificial Intelligence Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Artificial Intelligence Engineer with a contract length of "unknown," offering a pay rate of "unknown." Key skills include Python, PySpark, SQL, and experience with Azure Databricks. A Bachelor’s or Master’s degree and 7+ years in data science are required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
May 5, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
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📍 - Location detailed
New York City Metropolitan Area
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🧠 - Skills detailed
#NumPy #AI (Artificial Intelligence) #Mathematics #Cloud #Azure #Azure Databricks #GCP (Google Cloud Platform) #Data Science #Computer Science #Spark (Apache Spark) #Databricks #Data Engineering #Pandas #A/B Testing #Databases #Statistics #ML Ops (Machine Learning Operations) #NLP (Natural Language Processing) #Python #PySpark #DAX #ML (Machine Learning) #Big Data #SQL (Structured Query Language) #Microsoft Power BI #BI (Business Intelligence)
Role description
Required Qualifications
• Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, Statistics, Mathematics, or related field
• 7+ years of experience in data science, machine learning engineering, or related roles
• Strong hands-on experience with:
• Python (pandas, NumPy, scikit-learn)
• PySpark (required)
• SQL (required)
• Experience with Azure Databricks and/or Google Cloud platforms
• Proven experience building and deploying machine learning models in production environments
• Strong understanding of:
• MLOps practices
• Data structures and algorithms
• Cloud-based architectures
Technical Skills
Must Have
• Applied Machine Learning
• PySpark & Pandas
• SQL & Relational Databases
• Azure Databricks / Big Data Analytics
• Machine Learning Operations (MLOps)
• Strong coding and software engineering practices
Nice to Have
• Experience with GenAI / LLMs
• Natural Language Processing (NLP)
• A/B Testing and experimental design
• Power BI and DAX
• Certifications:
• Databricks Certified Data Engineer Associate
• Google Cloud Certified Machine Learning Engineer
Required Qualifications
• Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, Statistics, Mathematics, or related field
• 7+ years of experience in data science, machine learning engineering, or related roles
• Strong hands-on experience with:
• Python (pandas, NumPy, scikit-learn)
• PySpark (required)
• SQL (required)
• Experience with Azure Databricks and/or Google Cloud platforms
• Proven experience building and deploying machine learning models in production environments
• Strong understanding of:
• MLOps practices
• Data structures and algorithms
• Cloud-based architectures
Technical Skills
Must Have
• Applied Machine Learning
• PySpark & Pandas
• SQL & Relational Databases
• Azure Databricks / Big Data Analytics
• Machine Learning Operations (MLOps)
• Strong coding and software engineering practices
Nice to Have
• Experience with GenAI / LLMs
• Natural Language Processing (NLP)
• A/B Testing and experimental design
• Power BI and DAX
• Certifications:
• Databricks Certified Data Engineer Associate
• Google Cloud Certified Machine Learning Engineer
