Machine Learning Engineer

Role OverviewWe are seeking a Machine Learning Engineer to bridge the gap between data science and software engineering. You will design, build, and productionize robust ML models that scale.Key ResponsibilitiesDeploy ML models into production environments.Build scalable data pipelines for training and inference.Optimize model architecture for latency and resource usage.Monitor production models for data drift and performance decay.Collaborate with software engineers to integrate ML features into products.Required Technical SkillsLanguages: Python, C++, or Java.Frameworks: PyTorch, TensorFlow, or Scikit-Learn.Infrastructure: AWS/GCP, Docker, Kubernetes, and MLOps tools (like MLflow or Kubeflow).Data: SQL, NoSQL, and big data technologies (like Spark or Kafka).