AI Engineer

Required Skills: AI , Machine Learning , MLE , GenAI , Agile Job Description Required Qualifications: • Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. • At least 6 years of experience in Information Technology • At least 2 years of experience in AI, data engineering, creating data pipelines and processing huge volume of data. • At least 2 years of experience in Machine learning engineering /MLE, data science and data engineering with a proven track record of delivering impactful solutions • Scalable AI Solution Deployment - Experience in designing and implementing scalable AI and Data Science solutions capable of handling large-scale, distributed data and compute workloads across hybrid and cloud-native environments (OCI) • Performance Tuning for AI/ML and GenAI Workloads - Experience in hyperparameter tuning and performance optimization for AI/ML and Generative AI models to maximize accuracy, efficiency, and resource utilization • AI Full stack: Experience in in any full stack /development experience in Python or Java, or .Net or React, Node.js, Flask/Django, REST APIs, Terraform automation • Proficiency in Python, SQL, and machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch, NLP. Preferred Qualifications: • Good understanding of Agile software development frameworks • Strong communication and Analytical skills • Ability to work in teams in a diverse, multi-stakeholder environment comprising of Business and Technology teams • Experience and desire to work in a global delivery environment