Qualifications

 

Bachelor’s Degree in Computer Science, Electronics/ Electrical Engineering or a related technical discipline is requiredStrong knowledge of AI and data technologies, with expertise in PythonExperience in developing GENAI-based applications utilizing RAG (Retrieval-Augmented Generation) techniques, with a strong preference for experience in developing GENAI-based applications aimed at improving developer productivity.Experience in using machine learning technologies such as TensorFlow, PyTorch, and Scikit-learn is a plus.Demonstrated experience in developing scalable AI pipelines and integrating models into real-time systems.Proven track record of managing and executing multiple high-impact LLM based projects, balancing delivery speed with quality.Able to showcase the productivity improvement by collecting relevant metrics.Self-driven and act as a leader in the GenAI space within the department.Act as a mentor to the rest of the developers to leverage existing and new GenAI toolsets.Ability to communicate complex AI concepts to both technical and non-technical stakeholders.Spearhead development, embedding, automation, and operation of scalable AI applications.Ensure technical quality and reliability of AI solutions through rigorous testing, validation, and implementing frameworks for scalable data ingestion.Optimize AI application performance and efficiency.Collaborate across teams to drive AI innovation, while expanding your expertise within an experienced, inclusive, and international team.Extensive relevant mid level work experienceProficient in Python, software development, and application of AI models.Highly skilled in realizing the full potential of LLM-based AI frameworks.Electronic payment systems experience is preferredHands on experience on Golang is preferredAbility to take ownership of open ended and highly complex problems and drive them to completionAbility to work effectively on multiple concurrent assignments with both AI and non-AI applications projectsExcellent communication skills, with examples of influencing, listening actively and negotiating within a team environment to effectively advocate for Software Engineering best practice within the department and communicate design decisions effectivelyPositive attitude, friendly to others, encouraging of co-operation, honesty, and respectfulness in the workplaceCollaborative mindset, with an ability to empathise with colleagues and establish relationshipsFlexibility, self-motivated, high work standards, attention to detail, ability to perform as a leader of a teamWillingness and desire to learn new skills and take on new tasks and initiatives.Proven ability to multi-task independently in a fast-paced environment and handle multiple competing priorities with minimal direction from management.Should be process oriented and possess good planning and organizational skills

Additional Information

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.