Experience

10-12 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.

(ref:hirist.tech)

📌 Deltacubes - Generative AI Engineer (Kolkata)
🏢 De
📍 Kolkata