Machine Learning Engineer

• Designing, developing, and maintaining end-to-end machine learning solutions — from data ingestion and feature engineering to training, evaluation, and production deployment.
• Building scalable ML infrastructure and data pipelines to support real-time and batch inference at scale.
• Collaborating with product managers, data scientists, and software engineers to integrate ML models into customer-facing applications.
• Applying best practices in MLOps to ensure reliability, reproducibility, and monitoring of ML systems in production.
• Leveraging cloud platforms (primarily AWS) and IaC tools (e.g. Terraform) to deploy and manage ML infrastructure.
• Working with modern ML tooling such as feature stores, model registries, orchestration frameworks (e.g. Airflow), and vector databases.
• Exploring and applying advanced techniques including LLMs, embeddings, and recommendation systems to solve real-world business problems.
• Mentoring team members and contributing to the improvement of engineering and ML practices across the organization.

Senior Machine Learning Engineer

AI Engineer

Lead AI Engineer

Senior Machine Learning Engineer – NLP, LLMs

AI Engineer