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AI ML & Agentic Data Scientist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI ML & Agentic Data Scientist in Atlanta, GA, on a contract basis. Requires deep ML experience in the Telco industry, expert Python skills, proficiency in MLOps, and familiarity with Azure and Databricks.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
November 20, 2025
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Atlanta, GA
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🧠 - Skills detailed
#AI (Artificial Intelligence) #Azure #ML (Machine Learning) #MLflow #Pandas #Databricks #Deployment #Spark (Apache Spark) #Data Science #SQL (Structured Query Language) #Data Processing #Microsoft Azure #Monitoring #Langchain #Data Manipulation #Python #Azure Databricks #Libraries
Role description
Role name: AI ML & Agentic Data Scientist Work site: Atlanta, GA (Onsite) Contract Role Deep, demonstrable experience in applying ML models (, churn prediction, network optimization, fraud detection, etc.) preferably within the Telco industry. Proven hands-on experience in building sophisticated, multi-step, and autonomous AI agents using industry-standard Python libraries like Lang Chain or Crew AI • Lang Chain: Expertise in creating chains, defining custom tools, managing conversational memory, and utilizing diverse Language Models (LLMs). • Crew AI: Experience in orchestrating multi-agent systems, defining roles, tasks, and hierarchical communication structures. Expert-level proficiency in Python is essential for both ML development and framework implementation. Experience with the entire MLOps lifecycle, including feature engineering, model training, performance monitoring, and model serving. Strong understanding of Telco business processes and data landscape High proficiency in data manipulation and preparation using libraries like Pandas Expert ability to write complex and efficient queries using SQL. Experience working within the Microsoft Azure, Databricks environment for data processing (Spark), Agent bricks and MLflow lifecycle for model tracking and deployment Core Skills: Data Science, MLOps, Agentic Framework like LangChain, Azure, Databricks