Senior Machine Learning Engineer

What You Will Need

• 4 years of hands-on experience in Machine Learning and MLOps.
• Proven experience in deploying and maintaining real-time machine learning models in high-traffic consumer applications.
• Strong understanding of system design, distributed systems, and cloud-based ML infrastructure.
• Proficiency in Python, TensorFlow / PyTorch, and ML frameworks.
• Experience with experimentation design, A / B testing, and statistical evaluation of ML models.
• Knowledge of feature stores, model monitoring, and automated retraining workflows.
• Familiarity with ML lifecycle management tools (MLflow, Kubeflow, TFX, etc.).
• Strong problem-solving skills and ability to work in a fast-paced environment.

Bonus

• Experience with Generative AI models, including fine-tuning LLMs and integrating them into products.
• Exposure to reinforcement learning, bandit algorithms, or other advanced ML methodologies.

Skills Required

Machine Learning, a / b testing, MLops, Python