| Primary skill | Python Azure TensorFlow PyTorch Scikit-learn) MLOps practices and cloud platforms (Azure MCP Azure AI Foundry) |
| Secondary skill | Databricks Spark |
| JD | - 6-12 years of experience in technology roles with a strong focus on AI/ML strategy and implementation.
- Proven track record of delivering enterprise-grade AI/ML solutions in financial services preferably in compliance surveillance or risk domains.
- Strong coding skills in Python is a must.
Good to have a hands-on design and development experience (azure databricks spark) Have Agile Test Driven Development and DevOps practices part of your DNA - Deep understanding of machine learning frameworks (e.g. TensorFlow PyTorch Scikit-learn) MLOps practices and cloud platforms (Azure MCP Azure AI Foundry).
- Strong foundation in data science statistics and algorithmic modeling.
hands-on experience with prompt engineering model context protocol (MCP) and Vibe coding for AI model optimization and orchestration. - Familiarity with regulatory frameworks and compliance requirements in banking and capital markets is good to have
- Excellent communication and stakeholder management skills with the ability to influence at senior levels.
|
Primary skill Python Azure TensorFlow PyTorch Scikit-learn) MLOps practices and cloud platforms (Azure MCP Azure AI Foundry) Secondary skill Databricks Spark JD 6-12 years of experience in technology roles with a strong focus on AI/ML strategy and implementation. Proven track ...
| Primary skill | Python Azure TensorFlow PyTorch Scikit-learn) MLOps practices and cloud platforms (Azure MCP Azure AI Foundry) |
| Secondary skill | Databricks Spark |
| JD | - 6-12 years of experience in technology roles with a strong focus on AI/ML strategy and implementation.
- Proven track record of delivering enterprise-grade AI/ML solutions in financial services preferably in compliance surveillance or risk domains.
- Strong coding skills in Python is a must.
Good to have a hands-on design and development experience (azure databricks spark) Have Agile Test Driven Development and DevOps practices part of your DNA - Deep understanding of machine learning frameworks (e.g. TensorFlow PyTorch Scikit-learn) MLOps practices and cloud platforms (Azure MCP Azure AI Foundry).
- Strong foundation in data science statistics and algorithmic modeling.
hands-on experience with prompt engineering model context protocol (MCP) and Vibe coding for AI model optimization and orchestration. - Familiarity with regulatory frameworks and compliance requirements in banking and capital markets is good to have
- Excellent communication and stakeholder management skills with the ability to influence at senior levels.
|
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