JOB DESCRIPTION About KPMG in India KPMG entities in India are professional services firm s These Indian member firms are affiliated with KPMG International Limited KPMG was established in India in August 1993 Our professionals leverage the global network of firms and are conversant with local laws regulations markets and competition KPMG has offices across India in Ahmedabad Bengaluru Chandigarh Chennai Gurugram Jaipur Hyderabad Jaipur Kochi Kolkata Mumbai Noida Pune Vadodara and Vijayawada KPMG entities in India offer services to national and international clients in India across sectors We strive to provide rapid performance-based industry-focused and technology-enabled services which reflect a shared knowledge of global and local industries and our experience of the Indian business environment As an AI ML Engineer you will be responsible for deploying managing and optimizing AI ML models in production environments You will work closely with data scientists software engineers and IT teams to ensure the seamless integration and operation of AI ML solutions Your role will be crucial in operationalizing AI models ensuring they are scalable reliable and deliver value to the business Responsibilities Design implement and maintain end-to-end MLOps pipelines for deploying machine learning models into production Collaborate with data scientists to understand model requirements and ensure smooth deployment and integration Develop and manage infrastructure for model training validation deployment monitoring and retraining Implement CI CD pipelines to streamline the deployment and updates of AI ML models Ensure the scalability reliability and performance of deployed models through continuous monitoring and optimization Utilize containerization and orchestration tools e g Docker Kubernetes to manage model deployment environments Work with cloud platforms AWS GCP Azure to deploy and manage AI ML services Implement security best practices for AI ML models and data pipelines Troubleshoot and resolve issues related to model deployment and operation Stay updated with the latest MLOps tools frameworks and methodologies Document processes configurations and procedures to ensure knowledge sharing and continuity Requirements Bachelor s or Master s degree in Computer Science Data Science Engineering or a related field Proven experience 3-5 years in deploying machine learning models in production environments Strong understanding of machine learning deep learning NLP and generative AI techniques Proficiency with MLOps tools and frameworks such as MLflow Kubeflow TensorFlow Extended TFX or similar Experience with CI CD tools such as Jenkins GitLab CI or CircleCI Proficiency in programming languages such as Python and familiarity with ML DL frameworks like TensorFlow PyTorch and scikit-learn Experience with cloud platforms AWS GCP Azure and their AI ML services Knowledge of containerization and orchestration tools Docker Kubernetes Strong understanding of version control systems e g Git and collaborative development workflows Excellent problem-solving skills and the ability to design robust scalable MLOps solutions Robust communication skills with the ability to collaborate effectively with cross-functional teams Preferred Qualifications Experience with big data technologies and tools such as Hadoop Spark and Kafka Familiarity with data visualization tools such as Tableau Power BI or similar Equal employment opportunity information KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color caste religion age sex gender national origin citizenship sexual orientation gender identity or expression disability or other legally protected status KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you QUALIFICATIONS Bachelor s or Master s degree in Computer Science Data Science Engineering or a related field

📌 Executive - Dev - Cloud, Java, Full Stack (Maharashtra)
🏢 KPMG
📍 Maharashtra