Job Description:
Were looking for a forward-thinking AI Solutions Engineer with deep expertise in Generative AI to join our team. This role is ideal for someone who has transitioned from a software or data background into AI and is passionate about applying cutting-edge technologies in highly regulated industries such as banking or healthcare.
Youll work on impactful use cases-like using Gen AI to extract compliance requirements from regulations or summarize audit reports-to help drive intelligent automation and decision-making across the organization.
Key Responsibilities:
- Design build and deploy AI/ML models with a focus on Generative AI LangChain and NLP.
- Develop solutions that are not tied to a specific LLM allowing flexibility and innovation.
- Integrate AI/ML capabilities into existing applications in both batch and real-time environments.
- Collaborate with cross-functional teams to identify opportunities for AI-driven automation and compliance support.
- Write clean efficient Python code; Java experience is a plus.
- Create and maintain detailed documentation including model specs data dictionaries and code annotations.
- Optimize and manage data pipelines using SQL (Hive/PySpark); NoSQL experience is a plus.
- Leverage GitHub and CI/CD pipelines for streamlined development and deployment.
- Navigate AI/ML governance processes especially within regulated environments.
- Stay current with emerging AI technologies and best practices.
Qualifications:
- Bachelors or higher degree in Data Science Computer Science Information Systems Engineering or a related field.
- Hands-on experience with Generative AI LangChain NLP and traditional ML algorithms.
- Strong understanding of software architecture AI frameworks and libraries.
- Experience in regulated industries (banking or healthcare) is highly preferred.
- Familiarity with Big Data ecosystems and cloud platforms (AWS Azure GCP) is a plus.
- Excellent verbal and written communication skills.
Job Description: Were looking for a forward-thinking AI Solutions Engineer with deep expertise in Generative AI to join our team. This role is ideal for someone who has transitioned from a software or data background into AI and is passionate about applying cutting-edge technologies in highly regula...
Job Description:
Were looking for a forward-thinking AI Solutions Engineer with deep expertise in Generative AI to join our team. This role is ideal for someone who has transitioned from a software or data background into AI and is passionate about applying cutting-edge technologies in highly regulated industries such as banking or healthcare.
Youll work on impactful use cases-like using Gen AI to extract compliance requirements from regulations or summarize audit reports-to help drive intelligent automation and decision-making across the organization.
Key Responsibilities:
- Design build and deploy AI/ML models with a focus on Generative AI LangChain and NLP.
- Develop solutions that are not tied to a specific LLM allowing flexibility and innovation.
- Integrate AI/ML capabilities into existing applications in both batch and real-time environments.
- Collaborate with cross-functional teams to identify opportunities for AI-driven automation and compliance support.
- Write clean efficient Python code; Java experience is a plus.
- Create and maintain detailed documentation including model specs data dictionaries and code annotations.
- Optimize and manage data pipelines using SQL (Hive/PySpark); NoSQL experience is a plus.
- Leverage GitHub and CI/CD pipelines for streamlined development and deployment.
- Navigate AI/ML governance processes especially within regulated environments.
- Stay current with emerging AI technologies and best practices.
Qualifications:
- Bachelors or higher degree in Data Science Computer Science Information Systems Engineering or a related field.
- Hands-on experience with Generative AI LangChain NLP and traditional ML algorithms.
- Strong understanding of software architecture AI frameworks and libraries.
- Experience in regulated industries (banking or healthcare) is highly preferred.
- Familiarity with Big Data ecosystems and cloud platforms (AWS Azure GCP) is a plus.
- Excellent verbal and written communication skills.
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