AI/ML Developer (Azure Ecosystem & Asset Management)

We are seeking highly skilled professionals with significant experience in Asset Management and Azure AI Ecosystem to join our team. This role involves developing and deploying cutting-edge AI solutions to optimize financial models and drive business impact.

Key Responsibilities:

• Leverage Azure AI tools and cloud architecture to design, develop, and deploy AI solutions for asset management.
• Lead the development of machine learning models, including fine-tuning large language models (LLMs) to build predictive and risk models for financial applications.
• Utilize Python and relevant programming languages to implement AI and machine learning algorithms effectively.
• Work with containerization technologies such as Docker and Kubernetes, managing the development and deployment process through CI/CD pipelines (preferably using GitLab).
• Provide expertise in asset management, including portfolio management, time series analysis, and risk modeling.
• Integrate AI models with existing systems, ensuring efficient data engineering and smooth data flows.
• Advise on best practices for building scalable, secure, and efficient AI solutions focused on delivering business value.
• Mentor and coach teams, fostering proficiency in Azure-based AI tools and encouraging continuous learning.
• Optimize model performance and cost-efficiency when deploying AI solutions in Azure cloud environments.

Qualifications:

• Strong experience in asset management, financial markets, and related modeling techniques.
• Expertise in Azure AI tools, machine learning, and AI development.
• Proficiency in Python and relevant programming languages.
• Hands-on experience with containerization and CI/CD processes.
• Demonstrated leadership skills, with experience mentoring teams in an AI-driven environment.
• Proven success in deploying AI solutions in cloud environments, particularly Azure.

If you are ready for an exciting opportunity and meet the qualifications, please share your updated resume and availability for a call to discuss further details of this position.

Looking forward to connecting with you!

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

We are seeking highly skilled professionals with significant experience in Asset Management and Azure AI Ecosystem to join our team. This role involves developing and deploying cutting-edge AI solutions to optimize financial models and drive business impact.

Key Responsibilities:

• Leverage Azure AI tools and cloud architecture to design, develop, and deploy AI solutions for asset management.
• Lead the development of machine learning models, including fine-tuning large language models (LLMs) to build predictive and risk models for financial applications.
• Utilize Python and relevant programming languages to implement AI and machine learning algorithms effectively.
• Work with containerization technologies such as Docker and Kubernetes, managing the development and deployment process through CI/CD pipelines (preferably using GitLab).
• Provide expertise in asset management, including portfolio management, time series analysis, and risk modeling.
• Integrate AI models with existing systems, ensuring efficient data engineering and smooth data flows.
• Advise on best practices for building scalable, secure, and efficient AI solutions focused on delivering business value.
• Mentor and coach teams, fostering proficiency in Azure-based AI tools and encouraging continuous learning.
• Optimize model performance and cost-efficiency when deploying AI solutions in Azure cloud environments.

Qualifications:

• Strong experience in asset management, financial markets, and related modeling techniques.
• Expertise in Azure AI tools, machine learning, and AI development.
• Proficiency in Python and relevant programming languages.
• Hands-on experience with containerization and CI/CD processes.
• Demonstrated leadership skills, with experience mentoring teams in an AI-driven environment.
• Proven success in deploying AI solutions in cloud environments, particularly Azure.

If you are ready for an exciting opportunity and meet the qualifications, please share your updated resume and availability for a call to discuss further details of this position.

Looking forward to connecting with you!

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.