🛠 Tech Stack

💼 About This Role

You'll develop scalable ML solutions to make marketing, sales, and customer success more data-driven, driving business impact. This role combines MLOps with deep learning and large language models.

🎯 What You'll Do

• Build training pipelines for ML/DL and LLM models
• Implement and maintain MLOps pipelines (CI/CD, versioning, monitoring)
• Integrate AI models with front-end, back-end, and operational systems
• Monitor production model performance and propose architectural improvements

📋 Requirements

• Degree in CS, Engineering, or related field
• Solid experience with full MLOps lifecycle for a Deep Learning or LLM model
• Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn)
• Experience with GCP (BigQuery, Cloud Functions/Run, Compute Engine)

✨ Nice to Have

• Experience with Vertex AI
• Knowledge of LLM frameworks (Hugging Face, LangChain)
• Experience with workflow orchestration (Airflow, Cloud Composer)

🎁 Benefits & Perks

• 🏖️ Remote work available
• 💰 Competitive compensation aligned with market
• 📚 Continuous learning environment
• 🏥 Health and wellness benefits
• 🤝 Inclusive culture with diversity initiatives

📨 Hiring Process

Estimated timeline: 2-4 weeks

1. 1Application submission· 1 day
2. 2Work style test· 30 min
3. 3Recruiter interview· 1 hour
4. 4Technical challenge· 3 days
5. 5Technical interview· 1 hour
6. 6Final interview with manager· 1 hour