Senior ML Engineer (IRC291599)

Job Description 5+ years of experience in applied machine learning or data science roles Strong proficiency in Python Experience developing, training, and optimizing models with a focus on timeseries data analysis Solid understanding of data preprocessing, feature engineering, and model evaluation methods Familiarity with MLOps workflows and collaboration with platform engineers for model deployment Experience with any of the following: Amazon Sagemaker, MLFlow, Vertex AI Strong problem-solving, communication, and collaboration skills Strong understanding of data structures, algorithms, and software engineering principles. Hands-on experience with cloud platform (AWS) is a plus Job Responsibilities Design and develop machine learning models. ML Engineer will handle model selection, implementation, training, testing, and optimization, ensuring models meet requirements and achieve learning standards. Model Lifecycle Management. Onboard new ML models onto the existing platform with standardized training automation and interfaces. • Collaborate with DevOps and data engineers to deliver end-to-end solutions: • Manage and optimize big data and training data pipelines for cost and reliability. • Oversee, maintain and enhance CI/CD operations for ML services" Department/Project Description We are seeking a highly skilled and motivated Sr. ML Engineer to join our team and contribute to the development for a leading telecommunications provider. Skill Category AI/ML Keyskills - Must Have Machine Learning Python Keyskills - Nice to Have Amazon SageMaker AWS