ML Engineer

Job Overview We are looking for a highly skilled and passionate Data Engineer with strong Python/​PySpark experience and understanding of AI/ML models to implement them in On‑Prem and Cloud environments. Responsibilities Work with data scientists/data engineers to translate prototypes and theoretical models into functional, production‑ready code. Collaborate with product and engineering teams to implement AI/ML models using PySpark. Understand AI/ML and large language models (LLMs) and work on productionalizing the models in Hadoop, Openshift/Kubernetes environments. Troubleshoot AI/ML models post implementation to resolve issues raised by users. Monitor model performance and continuously improve efficiency, accuracy, and user experience. Qualifications Strong experience in PySpark and Python integration with AI/ML models. Understanding of AI/ML models and their interface with On‑Prem and Cloud environments. Familiarity with ML‑Ops / LLM‑Ops and distributed systems. Experience with Big Data platforms such as Cloudera Hadoop and Cloud platforms like AWS, GCP. Solid understanding of system design patterns, scalability, observability, and performance tuning. Strong analytical and problem‑solving skills. Passion for exploring and building with emerging technologies. Bachelor of Computer Science (or equivalent). Compensation Salary range: $125,000 to $140,000 per year. #J-18808-Ljbffr Tata Consultancy Services