Software Engineer 2 (AI/ML)

Responsibilitie:

● 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 2–6 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.