Description

You will design, develop, and deploy AI-enabled applications focused on automating and enhancing core data conversion processes.

Responsibilities

• Implement AI solutions and models to automate data conversion and perform application scoring and data aggregation.
• Design and deploy scalable AI systems using architecture patterns, APIs, and microservices.
• Conduct rigorous testing, validation, and continuous performance optimization of AI models.
• Manage large datasets while ensuring data integrity, security, and compliance with established protocols.
• Maintain comprehensive documentation for AI methodologies, solutions, and deployment processes.

Required Skills

• 5+ years of technical implementation experience.
• Proficiency in Python, JS/NodeJS, and .NET Framework/Core C#.
• Experience with ML frameworks including TensorFlow, PyTorch, Keras, or Scikit-Learn.
• Hands-on experience with data manipulation using Pandas or NumPy.
• Knowledge of deep learning architectures such as CNNs, RNNs, and transformers.
• Familiarity with version control (Git), DevOps principles, and software development methodologies.
• Experience with cloud platforms such as AWS, Google Cloud, or Azure.
• Ability to design scalable systems and integrate AI models into broader applications via APIs.

Preferred Skills

• Experience in the Financial Services Industry and related compliance regulations.
• AI/ML certifications.
• Experience with reporting tools such as Splunk, SSRS, Cognos, or Power BI.

Key Skills

Education

Any Graduate