Software Engineer II - AI/ML

Responsibilities
● Developing data pipelines to collect, process, and analyze diverse datasets at scale.
● Designing and implementing deep learning architectures capable of processing large volumes of data.
● Analyzing model performance by conducting experiments and tests to evaluate effectiveness and identify opportunities for improvement.
● Building and managing agentic workflows to support scalable and efficient AI/ML solutions.
● Optimizing and fine-tuning existing machine learning models to improve performance and effectiveness.
● Building and maintaining pipelines to monitor, manage, and continuously improve production machine learning and deep learning models.
Qualifications
● A bachelor’s, master’s, or PhD degree , with at least 4–7 years of relevant experience.
● Experience training, building, and deploying large-scale deep learning models is required.
● Experience designing and implementing sequence and time-series models is required.
● Expertise in Python, with hands-on experience using deep learning frameworks such as PyTorch or TensorFlow.
● Experience with Git, CI/CD pipelines, and MLOps practices for automating model deployment and managing production machine learning workflows.
● Working knowledge of Linux, SQL, Git, and Bash scripting.

Work arrangement
No