Aptino, Inc.
Data Scientist AI/ ML / AI Engineer / Lead AI Engineer / AI Architect / ML Engineer / Data Scientist / AI ML
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist AI/ML in Malvern, PA or Charlotte, NC (Hybrid). Contract length and pay rate are unspecified. Requires 5+ years in software/data/ML engineering, strong AWS skills, Python, PySpark, and experience with LLM/GenAI techniques.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
June 16, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
North Carolina, United States
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🧠 - Skills detailed
#AI (Artificial Intelligence) #Security #SQL (Structured Query Language) #Data Science #Python #SageMaker #Lambda (AWS Lambda) #dbt (data build tool) #Data Governance #Terraform #ML (Machine Learning) #Compliance #PySpark #Infrastructure as Code (IaC) #Clustering #Spark (Apache Spark) #AWS (Amazon Web Services) #S3 (Amazon Simple Storage Service) #Data Engineering #Cloud #Classification #GitHub #Regression #Data Pipeline #Airflow #Observability
Role description
Role: Data Scientist AI/ ML
Location: Malvern, PA OR Charlotte, NC (Hybrid – 3 days/week from office)
Job Description:
Key Responsibilities
• Build and maintain production grade AWS applications (Lambda, S3, Glue, ECS/EKS, Step Functions, Bedrock, SageMaker).
• Develop and automate end to end data and ML pipelines using Spark/PySpark, Glue, Airflow, or dbt.
• Implement LLM based solutions: prompt engineering, evaluation, workflow integration.
• Apply GenAI techniques including RAG, context engineering, finetuning, and agentic frameworks (tool calling, orchestration workflows).
• Support model training, inference, and evaluation with strong grounding in traditional ML methods and EDA.
• Use engineering best practices: GitHub, CI/CD, Infrastructure as Code (Terraform/CloudFormation), testing, observability.
• Ensure compliance with security and data governance standards in a financial services environment.
Required Qualifications
• 5+ years in software engineering, data engineering, or ML engineering.
• Strong AWS experience building production systems (Lambda, Glue, SageMaker, etc.).
• Expertise in Python, PySpark, and SQL.
• Proven experience automating data pipelines and ML workflows.
• Familiarity with traditional ML methods (regression, classification, clustering, tree based models) and EDA.
• Hands on experience with LLM/GenAI: RAG, prompt engineering, agentic frameworks.
• Strong communication skills and ability to work independently in global teams.
Role: Data Scientist AI/ ML
Location: Malvern, PA OR Charlotte, NC (Hybrid – 3 days/week from office)
Job Description:
Key Responsibilities
• Build and maintain production grade AWS applications (Lambda, S3, Glue, ECS/EKS, Step Functions, Bedrock, SageMaker).
• Develop and automate end to end data and ML pipelines using Spark/PySpark, Glue, Airflow, or dbt.
• Implement LLM based solutions: prompt engineering, evaluation, workflow integration.
• Apply GenAI techniques including RAG, context engineering, finetuning, and agentic frameworks (tool calling, orchestration workflows).
• Support model training, inference, and evaluation with strong grounding in traditional ML methods and EDA.
• Use engineering best practices: GitHub, CI/CD, Infrastructure as Code (Terraform/CloudFormation), testing, observability.
• Ensure compliance with security and data governance standards in a financial services environment.
Required Qualifications
• 5+ years in software engineering, data engineering, or ML engineering.
• Strong AWS experience building production systems (Lambda, Glue, SageMaker, etc.).
• Expertise in Python, PySpark, and SQL.
• Proven experience automating data pipelines and ML workflows.
• Familiarity with traditional ML methods (regression, classification, clustering, tree based models) and EDA.
• Hands on experience with LLM/GenAI: RAG, prompt engineering, agentic frameworks.
• Strong communication skills and ability to work independently in global teams.
