🛠 Tech Stack

💼 About This Role

You'll join a team that partners with enterprises to transform complex data into strategic assets. As an AI/ML Engineer, you'll build and deploy machine learning models on Google Cloud, directly impacting how businesses operate. This role offers the chance to work with cutting-edge generative AI and establish best practices across the organization.

🎯 What You'll Do

• Analyze diverse data to deliver data-driven insights to clients.
• Leverage GCP services to train and deploy ML models.
• Act as thought leader and contribute to practice initiatives.
• Create reports and presentations showcasing solution value.

📋 Requirements

• 3-6+ years of relevant experience with data science.
• Python (TensorFlow, Keras, PyTorch) and SQL experience.
• Data Engineering experience with ETL/ELT pipelines and databases.
• Generative AI experience with LLMs, Prompt Engineering, RAG, LangChain.

✨ Nice to Have

• Graph Data Science experience.
• Experience with Looker or other visualization tools.

🎁 Benefits & Perks

• 🧑‍💻 Remote-friendly culture
• 📈 Professional development opportunities
• 🏥 Health insurance
• 💰 Competitive compensation

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min