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