AI workflow Engineer

Workflow Design & Automation:

• Design and implement robust standard and custom AI workflows that cover data ingestion, preprocessing, model training, validation, deployment, and monitoring.
• Automate repetitive tasks in the AI lifecycle to enhance productivity and reduce manual intervention.
• Develop and maintain CI/CD pipelines for AI models, ensuring seamless integration with existing infrastructure.

Collaboration & Integration:

• Collaborate with Delivery leaders, AI service engineers and Project Managers to understand workflow requirements and challenges.
• Integrate AI workflows with data pipelines, cloud platforms, and other enterprise systems to ensure smooth actions
• Facilitate collaboration between different teams to ensure alignment and consistency in AI deployment practices.

Performance Optimization:

• Monitor and optimize AI workflows to ensure efficiency, scalability, and reliability.
• Identify bottlenecks in the AI workflow and implement solutions to enhance performance.

Documentation & Compliance:

• Document workflow processes, configurations, and best practices to facilitate knowledge sharing and onboarding of new team members.
• Ensure that AI workflows comply with internal standards, industry regulations, and best practices for security and data privacy.

Innovation & Continuous Improvement:

• Stay up-to-date with the latest trends and technologies in AI and workflow automation.
• Proactively suggest improvements to existing workflows and explore new tools and methodologies.
• Participate in code reviews, knowledge-sharing sessions, and team meetings to foster a culture of continuous learning and improvement.

Qualifications:

Education:

• Bachelor s or Master s degree in Computer Science, Engineering, Data Science, or a related field with 4+ years of experience

Experience:

• Engineering background (preferably in programming/mathematics)
• Analytical and out of the box thinking
• Excellent communication skills, honesty & hard work.
• Strong programming and debugging skills in JavaScript.

Technical Skills:

• Proficiency in JavaScript and REST APIs; Java and Python is a plus.
• Strong knowledge of security standards (e.g OAuth, JWT) to develop and debug third-party application integrations.
• Strong understanding of HTTP methods and how data is exchanged between systems
• Experience with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes).
• Knowledge of data engineering practices and familiarity with ETL pipelines.
• Strong understanding of version control systems (e.g., Git) and collaborative development workflows.

Soft Skills:

• Excellent problem-solving skills with the ability to troubleshoot and resolve complex technical issues.
• Strong communication skills, with the ability to collaborate effectively with cross-functional teams.
• Self-motivated, with a proactive approach to learning and implementing new technologies.