Desired Skills & Experience • API Development and Integration • Data Storage Solutions (SQL, NoSQL) • AI Model Optimization and Scaling; Model Evaluation and Validation 2 • Monitoring and Logging (Prometheus, ELK Stack) • GenAI Model Utilization and MLOps • Proficiency in Data Engineering for AI, including preprocessing, feature engineering, and pipeline creation • Expertise in AI Model Fine-Tuning, Evaluation, and Bias Mitigation • Knowledge of Serverless Computing, Distributed Systems, Deep Learning Frameworks (TensorFlow, PyTorch), and Emerging Technology Trends Verifiable Certification • At least one recognized cloud professional certification (AWS Certified Solutions Architect, Google Professional Cloud Architect, or Microsoft Certified: Azure Solutions Architect Expert) Soft Skills and Behavioural Competencies • Excellent communication and teamwork skills, capable of collaborating effectively with diverse teams. HCLTech is a global technology company, home to more than 223,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products.