Machine Learning Engineer III

📋 Description

• Contribute to development of multiple AI driven end to end pipelines that allows for deployment and
• Build an end-to-end machine learning platform, covering all lifecycle stages of a model, to ease
• Build tools and capabilities that help with data ingestion to feature engineering, data management
• Deploy cutting edge algorithms like LLMs etc. on GPUs along with distributed computing for
• Contribute to tools and capabilities for model management and model performance monitoring
• Implement the best engineering practices for scaling ML-powered features, with a goal to enable the

🎯 Requirements

• Bachelor’s or Masters in Computer Science or Maths/Stats from a reputed college with 7+ years of
• Prior experience with deploying large scale machine learning models to production, both in batch
• Experience with distributed computing frameworks like Spark / Map-Reduce etc.
• Cloud experience with any one provider ( AWS / GCP / Azure )
• Experience with Infra-as-code tools like Terraform
• Experience and understanding of the entire machine learning pipeline from data ingestion to

🎁 Benefits

• Opportunity to work on cutting edge technologies in text and images data like LLMs, OCR
• Deploy code using the most advanced tech stack like AWS, GCP etc.
• You will own projects end to end i.e., from exploration to final production
• You will be empowered to make decisions. It implies more responsibilities but high learning
• Immense opportunities to learn and develop ML based SaaS products for brands and get company-wide
• Forget endless meetings. Get things done and start making an impact from day 1