Experience:

• 4 to 6 years of hands-on experience applying AI/ML to real-world business or enterprise solutions

Qualification:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or related field

Additional responsibilities:

• Participate in functional and solution design, including process mapping, scenario design, prototyping, testing, and support definition
• Document solution architecture, model logic, assumptions, and lessons learned
• Convert AI/ML models into scalable APIs for enterprise consumption
• Perform statistical analysis and feature engineering on large, complex datasets
• Support the full AI lifecycle: definition, development, implementation, deployment, and upgrades
• Manage AI project infrastructure, including development, experimentation, and production workflows
• Support data acquisition strategies to ensure required depth, breadth, and quality of data
• Collaborate with IT and Data teams to design secure, efficient, and scalable data and AI infrastructure
• Monitor, sustain, and report on data quality, compliance, and model performance
• Actively collaborate across teams and geographies, building strong working relationships
• Communicate project status, risks, and outcomes clearly to stakeholders

More skills:

Generative AI models (e.g., GPT, BERT or similar), cloud platforms (AWS, Azure, or GCP), containerization (Docker/Kubernetes), Git, MLflow, SQL, Snowflake

Other:

• Strong analytical, critical thinking, and problem-solving skills
• Ability to work effectively in a matrix and global operating model
• Excellent time management and organizational skills
• Strong communication and presentation skills, including with non-technical stakeholders
• Understanding of key business and financial performance metrics
• Fluency in English (written and spoken)