Overview

Develop and deploy AI solutions for clients.

Responsibilities

• Build production-grade ML pipelines.
• Enhance AI model performance.
• Mentor other engineers.

Qualifications

• Candidates should possess strong skills in machine learning model development, including experience with supervised and unsupervised learning, model evaluation, and feature engineering.
• Candidates should possess solid programming and software engineering skills, ideally in languages such as Python or Java, along with experience in building, testing, and maintaining production-quality code.
• Candidates should possess experience with AI and data frameworks and tools, such as common ML libraries, data processing frameworks, and workflow orchestration tools.
• Candidates should possess knowledge of cloud platforms and related services used to build and deploy AI/ML solutions, with familiarity in CI/CD practices and containerization.
• Candidates should possess strong problem-solving, analytical, and communication skills, with the ability to work collaboratively across cross-functional and remote teams.
• Relevant experience in financial services, banking, insurance, or telecom domains is beneficial, including applying AI/ML to use cases such as risk modeling, customer analytics, or process automation.
• A bachelor’s or master’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related field, or equivalent practical experience, is preferred.

Education

• Bachelor’s or Master’s in a relevant field.