Experience: 13+ years of professional experience in machine learning and software engineering, with a track record of shipping production-grade services.

ML Fluency: Hands-on expertise in up-to-date AI architectures (LLMs, GNNs, Deep Learning) as well as classical modeling (Gradient Boosting, Regression).

The AI Stack: Deep proficiency with the Generative AI ecosystem, specifically LangGraph, LangSmith, Google ADK, Google Vertex AI and AWS bedrock.

Domain Expertise: Specialized knowledge in at least one area: NLP, Information Retrieval, Computer Vision, or Advanced Statistical Modeling.

Engineering Rigor: Ability to write clean, maintainable, and highly-tested code (Python) that directly solves customer pain points.

Communication:



Exceptional written and verbal communication skills; ability to translate complex technical concepts for non-technical stakeholders.

Mission-Driven: A genuine passion for building an open, global financial system.

Nice to haves:

Education: Advanced degree (Master's or PhD) in CS, ML, Statistics, or a related quantitative field.

Data Infrastructure: Experience with large-scale data tools such as Spark, Kafka/Kinesis, Snowflake, or Databricks.

Workflow Orchestration: Familiarity with Apache Airflow or similar DAG-based orchestration tools.

Ethical AI: Deep understanding of model interpretability, bias mitigation, and responsible AI governance.

📌 Generative AI Engineer (India)
🏢 Deltacubes
📍 India