Position: Python AI Developer
Location: Charlotte, North Carolina
Duration: Contract
Job ID: 179404
Only W2 ( No C2C )
Job Overview: This contingent role involves consulting on complex software engineering initiatives with broad impact and large-scale planning. The position requires addressing multi-faceted challenges, collaborating strategically with client personnel, and ensuring compliance with policies and procedures. The focus is on deploying and operationalizing Data Science, Generative AI, and Predictive AI solutions into production environments using modern cloud and container platforms.
Responsibilities: - Consult on complex software engineering initiatives with broad impact.
- Analyze and resolve multi-faceted challenges requiring in-depth evaluation.
- Collaborate strategically with client personnel to meet deliverables.
- Integrate Data Science and AI solutions into enterprise applications.
- Deploy and operationalize AI solutions using cloud and container platforms.
- Ensure compliance with function policies, procedures, and governance requirements.
Qualifications: - 5+ years of Software Engineering experience or equivalent through work, consulting, training, or education.
- 7+ years of experience in software engineering, data engineering, cloud engineering, or AI/ML engineering.
- Strong Python development experience.
- Experience deploying and operationalizing Data Science, Machine Learning, Generative AI, or Predictive AI solutions.
- Proficiency in building enterprise applications and APIs.
- Experience with cloud-based environments and containerized deployment platforms like OpenShift or Kubernetes.
- Strong understanding of software engineering best practices, CI/CD, monitoring, and production support.
Core Technical Skills: - Programming & Application Development: Python, Git, FastAPI, REST APIs, JSON, Pydantic, C#/.NET application integration.
- AI & Data Science Enablement: Azure OpenAI, OpenAI APIs, LangChain/LangGraph, Generative AI solutions, Predictive AI/ML solutions, model deployment, embeddings, vector search, RAG patterns.
- Data Engineering: SQL, Oracle, ETL/ELT, Spark/PySpark, data modeling, data pipeline development.
- Data Platforms: Microsoft Fabric, OneLake, Data Warehouse/Lakehouse concepts.
- Pipeline Orchestration: Azure Data Factory, Airflow, or equivalent platforms.
- Cloud & Container Platforms: Azure, Docker, OpenShift, CI/CD pipelines (Azure DevOps or GitHub Actions).
- Monitoring & Operations: Logging, monitoring, alerting, Application Insights, production support.
- Security & Governance: Key Vault, OAuth, secrets management, PII/data governance.
- Analytics & Reporting: Power BI.
Preferred Qualifications: - Experience supporting HR, HRIT, Workforce Analytics, or HR Data Science initiatives.
- Experience integrating Python-based Data Science solutions into enterprise applications.
- Experience supporting AI solutions in highly regulated environments.
- Nice to have: C#/.NET development, Flask, Django, React, Gradio, Databricks, Neo4j/Graph Databases, Semantic Kernel, MLflow, Kubernetes, Snowflake, Elasticsearch, Azure AI Search.
About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit ;br>
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Pay Range: $65 - $75
The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work.
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During the hiring process, we may use artificial intelligence (AI) tools to assist in evaluating information related to your application. These tools may help analyze job-related qualifications or assist recruiters in reviewing applications and interview responses. AI-generated information is one factor considered in our hiring process. Final employment decisions are made by qualified hiring personnel and are not based solely on AI-generated recommendations.
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