Machine Learning Engineer

We're looking for a passionate Machine Learning Engineer to join our growing AI team. You’ll work at the core of our product, building scalable machine learning models that directly power intelligent features across our platform. You’ll collaborate with data scientists, backend engineers, and product managers to design, develop, and deploy models in production.

Responsibilities:

• Design, build, and maintain machine learning models and pipelines.

• Collaborate with cross-functional teams to integrate ML into customer-facing products.

• Conduct data exploration and feature engineering on large-scale datasets.

• Continuously monitor, evaluate, and improve model performance post-deployment.

• Stay current with the latest research and tools in the ML ecosystem.

Requirements:

• 2+ years of experience in ML engineering or data science.

• Strong skills in Python, scikit-learn, TensorFlow or PyTorch.

• Experience with model deployment and versioning (e.g., MLflow, Docker).

• Knowledge of cloud platforms (AWS, GCP, or Azure).

• Strong communication and problem-solving skills.

Nice to Have:

• Experience with recommendation systems or time series forecasting.

• Contributions to open-source ML projects.

Perks:

• Competitive salary + equity

• Flexible hours & remote-friendly

• Learning budget & access to AI conferences