AI & Automation Analyst Full Time

AI & Automation Analyst

Teleperformance is a global leader in digital business services, combining advanced technology, data, and human expertise to deliver intelligent customer experience solutions. With a strong focus on AI and automation, TP continuously drives innovation to optimize operations and create measurable business value for its partners.

Role Overview

The AI & Automation Analyst is responsible for identifying, designing, and implementing AI-driven and automation solutions that enhance operational efficiency, improve decision-making, and support scalable business outcomes. This role focuses on translating business needs into intelligent solutions, ensuring successful deployment, integration, and continuous optimization of AI and automation capabilities.

Key Responsibilities:

• Identify and assess opportunities to implement AI and automation solutions across business functions.

• Collaborate with stakeholders to gather requirements and translate them into technical solutions.

• Design and develop machine learning models, AI algorithms, and automation workflows.

• Create clear technical documentation, including solution architecture and process designs.

• Integrate AI and automation solutions into existing systems, tools, and workflows.

• Conduct testing and validation to ensure solution accuracy, reliability, and performance.

• Monitor deployed solutions and drive continuous improvement initiatives.

• Work closely with cross-functional teams to ensure alignment with business objectives and successful adoption.

Key Skills & Competencies:

• Proficiency in Python, R, or Java.

• Strong data analysis and data preparation skills.

• Experience in AI/ML model development and automation tools (e.g., RPA).

• Ability to design scalable, business-oriented AI solutions.

• Knowledge of system integration and workflow automation.

• Strong analytical thinking and problem-solving skills.

• Effective communication and stakeholder management abilities.

• Continuous learning mindset with a focus on emerging technologies.

Qualifications & Experience:

• Bachelor’s degree in Computer Science, Data Science, or related field.

• 3–4 years of experience in AI, machine learning, or automation within a corporate environment.

• Relevant certifications (RPA, AI/ML, PMP) are a plus.

• Solid understanding of AI technologies, algorithms, and enterprise systems.

• Knowledge of programming, networking fundamentals, and technologies such as Java, XML, HTML.

• Fluency in English is required.