Senior AI/ML Ops Engineer (f/m/d) We are HCLTech, one of the fastest-growing large tech companies in the world and home to 225,000 people across 60 countries, supercharging progress through industry-leading capabilities centered around Digital, Engineering and Cloud. The driving force behind that work, our people, are diverse, creative, and passionate, raising the bar for excellence on a regular basis. We, in turn, work hard to bring out the best in them as we strive to help them find their spark and become the best version of themselves that they can be. If all this sounds like an environment you’ll thrive in, then you’re in the right place. Join us on our journey in advancing the technological world through innovation and creativity. Your job: Perform daily monitoring and health checks for both Black Forest GY and NBO model pipelines on GCP (and on-premise for NBO where applicable). Troubleshoot operational issues, identify root causes, and implement fixes under supervision. Implement pre-defined enhancements and new business requirements for both models, writing clean and efficient code. Execute data validation tasks and report anomalies. Support the continuous monitoring and supervision processes for model runs. Assist in the further development and testing of ML models and rule-based components. Contribute to the maintenance and updating of CI/CD pipelines (GitHub Actions). Communicate effectively with Lead Engineers and DB supervisors regarding task progress and issues. Actively participate in the intensive knowledge handover from departing DB employees, documenting learned processes. Contribute to technical documentation. Support the final handover process to the new internal DB team. Your profile: 5-10 years of practical experience applying machine learning and data science methods. Strong programming skills in Python and SQL. Hands-on experience working with databases (e.g., SQL) and ideally big data technologies (specifically GCP BigQuery). Experience with cloud platforms (specifically GCP) and CI/CD processes (specifically GitHub Actions). Familiarity with common ML libraries (e.g., scikit-learn, Pandas, NumPy; PyTorch is a plus). Experience in deploying and monitoring applications/models. Good analytical and problem-solving skills. Strong willingness and ability to learn quickly in a complex environment. Good communication skills and ability to work collaboratively in a team. Familiarity with anomaly detection or recommendation systems concepts. Desired Skills (Plus): Experience in the banking/financial services sector. Experience with containerization (Docker). Knowledge of GCP Composer. Knowledge of Vertex AI, particularly Gemini Gen AI models. ____________________________ We promote equal opportunities for all employees, regardless of their cultural and social background, gender, disability, age, religion, beliefs, and sexual identity. We give priority consideration to severely disabled applicants and those of equal status in the case of equal suitability.