AI & Automation Engineer

Position Summary, Responsibilities and Expectations

• Collaborate with the onshore team to understand business requirements, use cases, and solution priorities.
• Translate functional requirements into technical designs and implementation plans.
• Design, develop, test, and deploy AI, machine learning, and automation solutions.
• Build prototypes and proof-of-concept solutions to evaluate feasibility and demonstrate business value.
• Develop data processing workflows, predictive models, intelligent assistants, and automated business processes.
• Integrate AI and automation solutions with existing systems, databases, applications, and APIs.
• Prepare, clean, transform, and analyze data required for AI and automation use cases.
• Monitor solution performance, troubleshoot technical issues, and improve accuracy, reliability, and maintainability.
• Perform unit testing, integration testing, and technical validation before deployment.
• Follow established standards for data security, privacy, access control, and AI governance.
• Research and evaluate emerging AI, data science, and automation technologies that may benefit the organization.
• Contribute to reusable frameworks, components, and development best practices across AI and automation initiatives.

Essential Skills and Experience

• Bachelor’s degree in Data Science, Computer Science, Information Technology, Engineering, or a related field.
• Hands-on experience in data science, artificial intelligence, machine learning, or process automation.
• Strong programming skills in Python and working knowledge of SQL.
• Experience with data preparation, feature engineering, model development, testing, and deployment.
• Familiarity with generative AI, large language models, prompt engineering, and API-based AI services.
• Experience developing integrations using REST APIs, web services, or similar technologies.
• Understanding of software development practices, version control, testing, and technical documentation.
• Strong analytical and problem-solving skills.
• Ability to work effectively with cross-functional and geographically distributed teams.
• Good written and verbal communication skills in English.