AI/ML Engineer

Caring. Connecting. Growing together.

Primary Responsibilities

• Design, develop, and deploy scalable end-to-end AI/ML solutions for complex business problems
• Own the full model lifecycle including data preparation, feature engineering, model development, evaluation, and production deployment
• Build and optimize ML pipelines and workflows for scalability, reliability, and performance
• Develop advanced AI solutions using techniques such as NLP, deep learning, predictive modeling, and Generative AI
• Collaborate with product, engineering, and business teams to translate requirements into AI-driven solutions
• Integrate AI/ML models into enterprise applications and production systems
• Implement and manage MLOps practices including CI/CD, monitoring, retraining, and version control
• Monitor, troubleshoot, and continuously improve model performance in production environments
• Contribute to reusable frameworks, libraries, and engineering best practices
• Communicate technical designs, trade-offs, and outcomes clearly to stakeholders
• Stay updated with emerging AI/ML technologies and apply them to drive innovation
• Comply with all applicable Company policies, procedures, and business directives, changes including those relating to work location, team assignments, work schedules, and flexible work arrangements
  

Required Qualifications

• Graduate degree or equivalent experience
• Experience with NLP, Large Language Models (LLMs), or Generative AI use cases
• Experience building enterprise-grade AI systems with strong reliability and governance requirements
• Experience mentoring junior engineers or owning small modules/projects
• Familiarity with distributed computing frameworks such as Spark or Ray
• Knowledge of Responsible AI practices including fairness, explainability, and bias mitigation