Senior Machine Learning Engineer
5 days ago
Key Responsibilities
- Design, build, and improve ML models for various business applications including classification, prediction, recommendation systems, and data analysis.
- Build and manage AI infrastructure and services on AWS, Azure, or Google Cloud. Set up data pipelines, model endpoints, and scalable compute environments.
- Handle the whole ML process — from data exploration and feature engineering to training, evaluation, and deployment.
- Work closely with product managers, data scientists, and software engineers. Translate business needs into technical solutions.
- Continuously monitor model performance after deployment, and improve accuracy and efficiency.
- Stay updated on the latest AI, ML, and cloud technologies. Propose and test new ideas to improve our products.
- Write clean, maintainable, and well-documented code following best practices.
Qualifications Required
- 4+ years of experience as an AI Developer or ML Engineer
- Knowledge of ML techniques such as supervised, unsupervised, and reinforcement learning
- Coding skills in Python, R, or similar languages
- Experience with databases (SQL, NoSQL)
- Experience with AWS, Azure, or GCP Preferred
- Experience using AI to drive business growth
- Experience in team-based product development using Git
- Experience with Docker, Kubernetes, or other container tools
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