Job Title: Sr Python Developer with Langgraph, GCP, AI/ML and Data Analysis Exp

Location: Irving TX / Basking Ridge NJ – Hybrid

Duration: 12 months

Job Summary:

We are looking for a skilled Python Developer with expertise in AI/ML, data analysis, and cloud computing (GCP). The ideal candidate will have experience in LangGraph (or similar language model frameworks) and a strong background in data processing, machine learning, and scalable Python applications. You will work on developing AI-driven solutions, optimizing data pipelines, and deploying models on Google Cloud Platform (GCP).

Key Responsibilities:

• Develop, test, and deploy Python-based AI/ML applications and data processing pipelines.
• Work with LangGraph (or similar frameworks) for language model orchestration and workflow automation.
• Perform data analysis, cleaning, and visualization using Python libraries (Pandas, NumPy, Matplotlib, etc.).
• Build and optimize machine learning models (Scikit-learn, TensorFlow, PyTorch).
• Deploy and manage applications on Google Cloud Platform (GCP) (Cloud Functions, BigQuery, Vertex AI, etc.).
• Collaborate with data scientists and engineers to integrate AI solutions into production systems.
• Write efficient, scalable, and maintainable code with proper documentation.
• Troubleshoot and debug issues in existing applications.

Required Skills & Qualifications:

Core Skills:

• Strong proficiency in Python (OOP, async programming, libraries like FastAPI, Flask).
• Experience with data analysis (Pandas, NumPy, SQL).
• Familiarity with LangGraph or similar workflow automation tools for LLMs.
• Knowledge of AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn).

Cloud & DevOps:

• Hands-on experience with Google Cloud Platform (GCP) (Cloud Run, BigQuery, Vertex AI, etc.).
• Knowledge of CI/CD pipelines and containerization (Docker, Kubernetes).

Nice-to-Have Skills:

• Experience with LangChain, LlamaIndex, or other LLM frameworks.
• Knowledge of Big Data tools (Apache Spark, Beam).
• Understanding of MLOps best practices.

Education & Experience:

• Bachelor’s/Master’s in Computer Science, Data Science, or related field.
• 10+ years of Python development experience (AI/ML or data-heavy applications).