No H1B
MANDATE (Proficient in Chinese or Japanese)
Title: Python Engineer (Proficient in Chinese or Japanese)
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
- 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).
- 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).
- 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.
- 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.
✅ 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.
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
🧩 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.
|
Arjun BHATT |
E: arjun.b@noviainfotech.com
M: (972) 961 2004 Linkedin: linkedin.com/in/arjun-bhatt-3a86001b5 |
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