Machine Learning Engineer • Mid-Level

Who you are

You have a strong background in machine learning and data engineering, with experience in designing and maintaining end-to-end data pipelines. Your proficiency in Python and SQL allows you to manipulate and analyze large datasets effectively. You are familiar with cloud platforms like AWS and have hands-on experience with machine learning frameworks such as TensorFlow and PyTorch. You understand the importance of data quality and can implement best practices to ensure data integrity throughout the pipeline.

You possess excellent communication skills, enabling you to collaborate effectively with cross-functional teams, including data scientists and business intelligence professionals. You are comfortable working in a fast-paced environment and are eager to take on challenges that require innovative solutions. You are passionate about leveraging data to drive business insights and improve decision-making processes.

What you'll do

As a Machine Learning Engineer at IDT, you will play a crucial role in the BI team by designing and building robust data pipelines that support our AI-driven applications. You will be responsible for the architecture and design of data systems that power our business intelligence tools. Your work will involve feature engineering, model training, and deployment, ensuring that our machine learning models are scalable and efficient.

You will collaborate closely with data scientists to understand their requirements and translate them into technical specifications. You will also be involved in monitoring and optimizing the performance of machine learning models in production, ensuring they deliver accurate and timely insights. Additionally, you will participate in the continuous improvement of our data infrastructure, implementing new technologies and methodologies as needed.

What we offer

At IDT, we provide a flexible work environment that allows you to choose your preferred location. You will be part of a dynamic team that values innovation and collaboration. We offer competitive compensation and opportunities for professional growth within a leading company in the communications and financial services industry. Join us to make a significant impact on our data-driven initiatives and help shape the future of our AI applications.