Description

You implement and enhance data conversion processes using AI technologies.

Responsibilities

• Design and develop AI solutions to automate and enhance core data conversion processes.
• Research and stay updated on the latest AI technologies and trends to drive process innovation.
• Conduct rigorous testing and validation of AI models to ensure accuracy and reliability.
• Develop and deploy AI solutions adhering to security protocols and compliance standards.
• Collaborate with data scientists, software engineers, and business analysts to create integrated AI solutions.

Required Skills

• 5-7+ years of technical implementation experience.
• Proficiency in Python, JS/NodeJS, and .NET Framework/Core C#.
• Familiarity with ML frameworks: TensorFlow, PyTorch, Keras, or Scikit-Learn.
• Experience manipulating data using Pandas or NumPy for preprocessing and analysis.
• Knowledge of deep learning architectures (CNNs, RNNs, transformers).
• Experience designing scalable AI systems, including API and microservices patterns.
• Familiarity with Git and DevOps principles for model deployment.
• Experience with cloud services (AWS, Google Cloud, Azure) for ML deployment.
• Strong analytical skills for identifying optimal AI solutions and troubleshooting.

Preferred Skills

• Experience in the Financial Services Industry and related compliance standards.
• Experience with reporting tools like Splunk, SSRS, Cognos, and Power BI.

Key Skills

Education

Any Graduate