🛠 Tech Stack

💼 About This Role

You'll design, develop, and deploy scalable machine learning solutions that directly support business needs and client-facing initiatives, collaborating with solution architects and product teams to translate complex requirements into robust AI pipelines. You will contribute to technical execution and early-stage solution design, helping shape proposals and prototypes during client engagement phases.

🎯 What You'll Do

• Translate business requirements into scalable ML and AI pipelines
• Develop, train, and deploy machine learning and deep learning models
• Build and maintain end-to-end data pipelines for model lifecycle
• Integrate AI solutions into production using MLOps best practices

📋 Requirements

• Strong experience developing and deploying Machine Learning models in production
• Advanced programming skills in Python with TensorFlow or PyTorch
• Solid experience with MLOps tools and CI/CD pipelines
• Hands-on experience with cloud platforms (AWS, Azure, or GCP) and containerization

✨ Nice to Have

• Knowledge of system architecture and API integration
• Experience with SQL and NoSQL databases
• Experience in cross-functional environments

🎁 Benefits & Perks

• 💰 Competitive compensation aligned with market standards
• 🏠 Remote-first work model
• 🏥 Health and wellness benefits package
• 🍽️ Meal or food allowance support
• 📚 Continuous learning opportunities including courses and certifications

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

1. 1Recruiter screen· 30 min
2. 2Technical interview· 60 min
3. 3Final interview· 45 min

🚩 Heads Up

• Role posted by third party
• No salary range provided