Machine Learning Specialist

You should have at least 7-10 years of industry experience, with a minimum of 5 years specifically in machine learning roles. Your proficiency should be advanced in Python and common ML libraries such as TensorFlow, PyTorch, and Scikit-learn. Experience in distributed training, model optimization (quantization, pruning), and inference at scale is essential. It is expected that you have hands-on experience with cloud ML platforms like AWS (SageMaker), GCP (Vertex AI), or Azure ML. Additionally, familiarity with MLOps tooling such as MLflow, TFX, Airflow, or Kubeflow, as well as data engineering frameworks like Spark, dbt, or Apache Beam is required. You should possess a strong understanding of CI/CD for ML, model governance, and post-deployment monitoring including aspects like data drift and model decay. Excellent problem-solving skills, effective communication, and good documentation practices are also key qualities for this role.,