MAJOR DUTIES AND RESPONSIBILITIES 

Collaborate with senior team members to understand and analyze business requirements.

Execute assigned tasks diligently, ensuring consistent progress.

Develop high-quality code that aligns with business objectives, quality standards, and secure development practices.

Work closely with business and technical teams to identify improvements and prioritize user stories.

Provide regular progress updates during daily standup meetings.

Adapt to shifting priorities while maintaining project timelines and momentum.

DESIRED QUALIFICATIONS

Essential Qualifications:

Bachelor’s degree in Computer Science, Computer Engineering, Data Science, Applied Mathematics , Statistics or related fields.

1–2 years of experience in Machine Learning (ML), with expertise in writing and reviewing production-grade Python code.

Strong knowledge of ML frameworks and libraries (e.g., TensorFlow, PyTorch), with hands-on experience implementing ML algorithms at scale.

Experience in building applications with large language models (LLMs) and leveraging them to enhance AI solutions.

Familiarity with distributed, high-throughput, and low-latency system architectures.

Proficiency in software development using containerization technologies (e.g., Kubernetes, Docker) and frameworks/tools such as FastAPI and Uvicorn.