W2: Role: Data Scientist/ AI & ML| Charlotte, NC | Hybrid

Location: Charlotte, NC 28202 (Hybrid)

Duration: 13+ Months with possible extension/conversion

Job Overview:

Seeking a highly skilled Software Engineer with strong Python development experience and a background in distributed computing, microservices, and modern data workflows. You will analyze and resolve technical challenges involving data pipelines, AI/ML integration, and microservices architecture, collaborating closely with internal stakeholders and adhering to policy, procedure, and compliance requirements.

Candidates need to have:

• 4+ years of Software Engineering experience (or equivalent experience through work, consulting, military, or education).
• 5+ years of Python development experience, including experience with relevant Python libraries for data engineering and ML.
• 2+ years of hands-on experience with:
• Apache Spark for distributed computing
• Apache Airflow for workflow orchestration
• Microservices API development

Preferred:

• 2+ years of experience with Cloud Computing platforms (e.g., AWS, Azure, Google Cloud Platform).
• Exposure to GenAI, Machine Learning (ML), LLMs, and GPU-based model training/inference.

Job Responsibilities:

• Participate in moderately complex software engineering initiatives, contributing to design, development, and deployment of robust software solutions.
• Analyze engineering challenges that require in-depth evaluation of diverse technical factors.
• Develop and optimize distributed computing workflows using Apache Spark and Apache Airflow.
• Design and implement Microservices and RESTful APIs to support scalable applications and services.
• Contribute to projects involving Machine Learning (ML), Generative AI (GenAI), Large Language Models (LLMs), and GPU-accelerated computing.
• Ensure solutions are compliant with internal policies and industry regulations.