About the Role Join our team to support the post-deployment operations of data pipelines, machine learning workflows, and product integrations. This entry-level role is ideal for individuals looking to grow their skills in data infrastructure and AI technologies. Key Responsibilities: - Monitor and maintain data pipelines using tools such as Airflow and DBT. - Assist in resolving data integration issues across internal systems and external APIs. - Support the setup and operation of experiments involving large language models (LLMs), including prompt evaluation and fine-tuning. - Document standard procedures and recurring issues to support knowledge sharing. - Collaborate with cross-functional teams including data engineers, ML researchers, and product teams. - Escalate complex technical challenges to senior team members for resolution. Qualifications: - BS in computer science, engineering or equivalent practical experience - 3+ years of experience in similar roles - Basic understanding of SQL and data transformation tools like DBT. - Exposure to data orchestration tools such as Airflow or Prefect. - Interest in AI and LLMs; familiarity with platforms like OpenAI, Hugging Face, Ollama, or Lang Chain is a plus. - Strong analytical and collaboration skills. - Enthusiasm for continuous learning in a dynamic, research-driven environment. Work in a Way That Works for You: We support a healthy work/life balance and offer flexible working arrangements. Our initiatives include shared parental leave, study assistance, sabbaticals, and wellness programs to help you thrive both personally and professionally. Working for You: - Prepaid Medical/Dental Plan - Gas Voucher - Life Insurance - Meal/Grocery Voucher