Deltacubes - Generative AI Engineer
Google
- Location
- Greater Kolkata Area
- Job type
- Full-time
Required skills
- Python
- Airflow
- AWS
- Apache
- Apache Airflow
- computer vision
- Databricks
- deep learning
- Kafka
- machine learning
- NLP
- regression
- Snowflake
- Spark
- statistics
- Vertex
About the role
Google
Website:
google.com
Job details:
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 modern 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)
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