Drive Impact with Robust ML Systems
We are seeking a Senior Machine Learning Engineer to join our team in building cutting-edge, scalable ML systems that drive real impact for users.
You will own and evolve our ML infrastructure while leading the technical direction for ML projects.
Key Responsibilities:
* Design and develop robust ML models using Python and popular frameworks like TensorFlow, PyTorch, or scikit-learn.
* Deploy models to production environments via Docker and Kubernetes.
* Work closely with cross-functional teams to integrate ML solutions into our products.
Requirements:
* 5+ years of industry experience in machine learning, data science, or applied AI.
* Strong coding skills in Python and deep experience with ML frameworks.
* Solid understanding of ML algorithms, statistical modeling, and evaluation techniques.
Desirable Skills:
* Experience with MLOps platforms like MLflow, SageMaker, or Vertex AI.
* Background in deep learning, LLMs, or NLP.