Your Role
The ML Engineer will be responsible for the design, development, training, and deployment of machine learning models. This role ensures that AI capabilities are production-grade, robust, and well-integrated with the company’s software stack.
What You’ll Be Doing
- Design, build, and train machine learning models using production-grade frameworks
- Translate AI product requirements into scalable model architectures
- Package models as APIs/microservices for product integration
- Build CI/CD pipelines for automated model training and release
- Evaluate model performance and handle versioning
What We’d Love To See
- Languages: Python, SQL
- Frameworks: PyTorch, TensorFlow, Hugging Face Transformers
- 3–6 years of hands-on experience in applied machine learning and deploying models into production
It’d Be Great If You Had
- Tools: MLflow, Docker, FastAPI, GitHub Actions
- Deployment platforms: GCP Vertex AI, AWS SageMaker
What You Can Expect
- Opportunity to work with a diverse and well-experienced team.
- To be part of the team who creates phenomenal growth stories for worlds renowned brands.
- Professional Growth Roadmap.
- Real-time mentorship and guidance from the leaders.
- A workplace that invests in your career, cares for you and is fun & engaging.
- You can be yourself and do amazing work.
Benefits
Interested in joining our team of artists, geeks, strategizers, and writers? If you’re a passionate, talented individual, we want to hear from you.
- Competitive salary
- Flexible work-life balance with a 5-day working Policy
- Paid time off
- Learning & Development bonus
- Health coverage
- Rewards & Recognitions
- Event & Festivals celebrations
- Ongoing training programs
- Onsite opportunities
- Recognition opportunities for open-source contributions
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