🧩 What You’ll Work On

• Build, deploy, and maintain production AI systems
• Take ownership of end-to-end ML pipelines (data ingestion, training, validation, deployment, monitoring)
• Optimize models for performance, scalability, and reliability
• Work closely with founders, engineering and product teams to ship AI features
• Monitor live models, handle retraining, and improve model quality over time
• Improve our MLOps and deployment infrastructure

🛠 What We’re Looking For

• 3+ years of experience building and running production AI / ML systems
• Strong Computer Science background and understanding in Natural Language Processing / Computer Vision
• Solid hands-on experience with Python, PyTorch, SQL, graph databases, load balancing, etc.
• Experience tracking experiments and models using e.g. MLflow
• Strong understanding of AI foundations, LLMs and model internals
• Practical experience deploying AI systems using Docker, docker-compose and Kubernetes
• Familiarity with model monitoring, versioning, and CI/CD for ML
• Deep understanding and practical experience of basic (Gen)AI approaches, e.g. RAG
• Practical experience with multi-agent AI system is a plus.

➕ Nice to Have

• Experience scaling ML systems in production
• Strong MLOps mindset
• Cloud infrastructure experience (AWS, GCP, Azure)
• Experience in a startup or product-driven environment
• Experience owning AI features end-to-end production-grade
• Experience with MCP / A2A protocol and agentic frameworks is a plus
• DevOps experience is a plus
• Experience with ETL process is a plus

🚀 Why DRIMCo?

• Build real AI products used by real users
• High ownership and technical responsibility
• Fast-moving startup environment with minimal bureaucracy
• Direct impact on product and architecture decisions
• Competitive compensation based on experience
• Relocation possibilities to Germany headquarters

📩 Interested?

Apply via LinkedIn.

Contact: Dr. Pankaj Gupta