Role: Python Developer +AL/ML Engineer
Location: Plano, TX or Alpharetta, GA Hybrid
Duration: 12+ months
No. of Positions: 3
***Looking for candidates from a Python Development background***
***Will not accept candidates coming from a Data Science, Data Analyst, Data Engineering background***
Must Have Main Skills:
Python Development
Develop Rest API s using Fast API
Integrate AI Agents
Agentic workflows with Langchain/Langgraph
Model Deployment
Application Deployment (Docker/Kubernetes)
LLM Pipeline (RAG)
Cloud experience (preferably Azure)
Nice to Have:
Databricks
Big Data (Spark)
Job Description:
Our client is looking for AI/ML Engineers to support critical projects in their CDO.
Required Skills
- Python & AI/ML Frameworks: Demonstrated expertise in Python and at least one major AI/ML framework.
- API Development: Hands-on experience developing RESTful APIs using FastAPI, with a solid understanding of web API architecture principles.
- Database Management: Strong proficiency in designing, integrating, and managing multiple databases (e.g., PostgreSQL, MongoDB).
- Big Data & Distributed Computing: Experience working with big data processing frameworks such as Spark and Delta Lake for scalable data processing.
- Databricks: Hands-on experience with Databricks for collaborative data engineering and machine learning workflows.
- AI Agent Integration: Proven expertise in integrating and orchestrating AI agents, large language models (LLMs), or multi-agent systems.
- LLM Pipeline Experience: Direct experience designing, building, and optimizing LLM pipelines, including data ingestion, pre-processing, prompt engineering, fine-tuning, and deployment.
- AI Workflow Tools: Experience working with AI agent workflow tools such as LangChain and LangGraph.
- LLM APIs: Experience working with LLM APIs such as OpenAI, Azure OpenAI, or Hugging Face.
- Cloud Computing & Azure Architecture: Good understanding of cloud computing concepts, scalability, and solution architecture, with a focus on Microsoft Azure
- Containerization (Docker) & Orchestration (Kubernetes): Experience deploying and managing applications using Docker containers and Kubernetes orchestration.
- Web Application Integration: Proven experience with the integration of AI models and web applications via Python
- Soft Skills: Excellent problem-solving abilities, attention to detail, and strong communication skills.
Preferred/Nice to Have Skills
- Model Context Protocol (MCP): Experience with MCP for coordinating and managing AI models and agent workflows.
- Containerization & Cloud Infrastructure: Experience with containerization (Docker), CI/CD pipelines, and cloud infrastructure (Google Cloud Platform, Azure).
- Full-Stack Development: Full-stack development experience is a bonus
- Familiarity with front-end technologies such as JavaScript, React, or Next.js.
- Specific Industry/Domain Knowledge: Specific industry/domain knowledge relevant to telecommunications will be preferable.
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