🛠 Tech Stack

💼 About This Role

You'll design and deploy production-grade ML systems for diverse clients, bridging AI, cloud, and real-world problem-solving. You'll own the full lifecycle from prototyping to deployment, ensuring scalable and reliable solutions. This role offers hands-on work with cutting-edge AI and strong growth opportunities.

🎯 What You'll Do

• Translate business challenges into ML opportunities
• Experiment, train, and optimize models including generative AI
• Build and maintain data pipelines and MLOps workflows
• Deploy ML solutions on AWS, GCP, or Azure

📋 Requirements

• 1–3 years of AI/ML Engineering or Software Engineering with AI focus
• Strong Python skills for backend development
• Experience with cloud platforms (GCP, AWS, or Azure)
• Solid understanding of SQL

✨ Nice to Have

• Experience in consulting or client-facing roles
• Background with GPUs or distributed computing
• Experience with IaC tools (Terraform, Pulumi)

🎁 Benefits & Perks

• 🏖️ 25+ days of vacation depending on role
• 🏥 Supplementary health insurance
• 🏋️ 50% MultiSport membership
• 🏠 Hybrid working model

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Team Fit Interview· 45 min