
Senior Software Engineer- Singapore
Databricks11 days ago
Responsibilities
- Design and implement platform capabilities for AI/ML model and GenAI agent training, evaluation, deployment, monitoring, and management.
- Build platform integrations with frameworks in the AI/ML ecosystem.
- Collaborate with the global AI/ML community to advance AIOps and contribute to open-source projects.
- Ensure current AI/ML tooling advancements are available to Databricks customers.
- Mentor junior engineers through project planning, technical decisions, and code and documentation reviews.
Requirements
- Bachelor’s degree or higher in Computer Science or a related field.
- At least five years of hands-on experience building production systems with Python, Scala, or Java, with Python preferred.
- Experience building and maintaining software tools and frameworks for AI/ML, ideally in an open-source environment.
- Familiarity with AI/ML and AIOps concepts and technologies, including model training, deployment, and monitoring.
- Preferred: deep experience with agent frameworks such as LangChain, LlamaIndex, DSPy, or similar projects.
- Preferred: significant AI/ML open-source contributions involving projects such as SparkML, TensorFlow, PyTorch, or MLflow.
Benefits
- Databricks offers comprehensive regional benefits and perks; specific details depend on the employee’s region.
- The position is based in Singapore.
Categories
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and over 60% of the Fortune 500 — rely on Databricks to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified Data Intelligence Platform that includes Agent Bricks, Lakeflow, Lakehouse, Lakebase and Unity Catalog. --- Databricks applicants Please apply through our official Careers page at databricks.com/company/careers. All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool).