Machine Learning Engineer (US)

We are seeking a Machine Learning Engineer to join our team. The role involves designing, developing, and deploying scalable machine learning models for real-world AI projects.

Key responsibilities

• Develop, train, evaluate, and optimize machine learning models.

• Build scalable ML pipelines for data processing, training, and inference.

• Develop deep learning solutions using PyTorch.

• Apply supervised and unsupervised machine learning techniques to business problems.

• Perform feature engineering, model selection, and hyperparameter tuning.

• Deploy and maintain machine learning models in production environments.

Required qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field.

• 2-5 years of professional experience in Machine Learning or a related field.

• Strong proficiency in Python.

• Hands-on experience with PyTorch.

• Solid understanding of Machine Learning algorithms and concepts.

Nice to have

• Experience with deep learning and neural networks.

• Familiarity with cloud platforms such as AWS, Azure, or GCP.

• Knowledge of ML deployment, Docker, or Kubernetes.

• Experience working with large datasets and production ML systems.