Hiring for Python Engineer - Sunrise FL (Hybrid)

Hi,

 

Visa: USC and H4EAD

Title: Python Engineer
Location: Sunrise FL (Hybrid)

Duration: 12 months contract


Must Haves: Python, API, GCP, Machine Learning

 

strong python, have work experiment on LLM, genAI, langchain, langGraph, python API, GCP

ML Engineer (Python + GCP + API)

🔹 Core Technical Skills

1. Strong Python Developer
• Able to write clean, optimized, production‑grade Python code.
• Experience with Python libraries commonly used in ML: NumPy, Pandas, Scikit‑learn, PyTorch or TensorFlow (optional but preferred).
2. Machine Learning Experience
• Hands‑on experience building, training, evaluating ML models.
• Ability to work with datasets, feature engineering, model optimization, and deployment.
• Understanding of ML pipelines and lifecycle (training → validation → deployment → monitoring).
3. API Development
• Strong experience building REST APIs or Python-based microservices.
• Can deploy models behind APIs (e.g., FastAPI, Flask).
• Familiar with integrating ML models into production systems.
4. Google Cloud Platform (GCP)
• Practical experience using ML‑related GCP services:
• Vertex AI
• Cloud Run
• Cloud Functions
• BigQuery
• Cloud Storage
• Comfort with deploying ML models or APIs on GCP infrastructure.

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✅ Preferred Additional Capabilities

(based on the screenshot “Details” section)

• Experience with LLMs, GenAI, LangChain, LangGraph.
• Knowledge of Python API frameworks.
• Ability to experiment with and integrate modern AI agent frameworks.

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You are looking for someone who is both a Machine Learning Engineer and a Python backend engineer, capable of:

• Building ML systems end‑to‑end
• Packaging and deploying them through APIs
• Running everything on Google Cloud Platform
• Potentially working with modern Generative AI / LLM pipelines

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🧩 Ideal Candidate Background (Example)

• 3–7 years hands‑on ML experience.
• Strong Python coding foundation.
• Production‑level API development experience.
• End‑to‑end ownership of ML model training + deployment.
• Comfortable working in a cloud‑native environment (GCP).
• (Bonus) Experience with LLM agents, GenAI frameworks, vector databases, etc.

 

 

Thanks & Regards

Shrey Sharma

Technical Recruiter

E: shrey.s@noviainfotech.com

LinkedIn: https://www.linkedin.com/in/shrey-sharma-322992370/
Novia Infotech, 4421 Avenida Ln, McKinney, TX, 75070, www.noviainfotech.com

 

 

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