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