Sr Python Developer

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).