Req ID 348954 NTT DATA strives to hire exceptional innovative and passionate individuals who want to grow with us If you want to be part of an inclusive adaptable and forward-thinking organization apply now We are currently seeking a Senior MLOps to join our team in Pune Mah r shtra IN-MH India IN Intermediate Senior MLOps Key Responsibilities Design deploy and maintain production-ready ML models and pipelines for real-world applications Build and scale ML pipelines using Vertex AI Pipelines Kubeflow Airflow and manage infra-as-code with Terraform Helm Implement automated retraining drift detection and re-deployment of ML models Develop CI CD workflows GitHub Actions GitLab CI Jenkins tailored for ML Implement model monitoring observability and alerting across accuracy latency and cost Integrate and manage feature stores knowledge graphs and vector databases for advanced ML RAG use cases Ensure pipelines are secure compliant and cost-optimized Drive adoption of MLOps best practices develop and maintain workflows to ensure reproducibility versioning lineage tracking governance Mentor junior engineers and contribute to long-term ML platform architecture design and technical roadmap Stay current with the latest ML research and apply new tools pragmatically to production systems Collaborate with product managers DS and engineers to translate business problems into reliable ML systems Required Qualifications Education Bachelor s or Master s degree in Computer Science Engineering Mathematics or related field PhD is a plus Experience 5 years of experience in machine learning engineering MLOps or large-scale AI DS systems Strong foundations in data structures algorithms and distributed systems Proficient in Python scikit-learn PyTorch TensorFlow XGBoost etc and SQL Hands-on experience building and deploying ML models at scale in cloud environments GCP Vertex AI AWS SageMaker Azure ML Experience with containerization Docker Kubernetes and orchestration Airflow TFX Kubeflow Familiarity with CI CD pipelines infrastructure-as-code Terraform Helm and configuration management Experience with big data and streaming technologies Spark Flink Kafka Hive Hadoop Practical exposure to model observability tools Prometheus Grafana EvidentlyAI and governance WatsonX Strong understanding of statistical methods ML algorithms and deep learning architectures Preferred Experience with real-time inference systems or low-latency streaming platforms e g Kafka Streams Hands-on with feature stores and enterprise ML platforms IBM WatsonX Vertex AI Knowledge of model interpretability and fairness frameworks SHAP LIME Fairlearn and responsible AI principles Strong understanding of data model governance lineage tracking and compliance frameworks Contributions to open-source ML MLOps libraries or robust participation in ML competitions e g Kaggle NeurIPS Domain experience in Logistics supply chain or large-scale consumer platforms About NTT DATA NTT DATA is a 30 billion business and technology services leader serving 75 of the Fortune Global 100 We are committed to accelerating client success and positively impacting society through responsible innovation We are one of the world s leading AI and digital infrastructure providers with unmatched capabilities in enterprise-scale AI cloud security connectivity data centers and application services our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future As a Global Top Employer we have experts in more than 50 countries We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners NTT DATA is a part of NTT Group which invests over 3 billion each year in R D Whenever possible we hire locally to NTT DATA offices or client sites This ensures we can provide timely and effective support tailored to each client s needs While many positions offer remote or hybrid work options these arrangements are subject to change based on client requirements For employees near an NTT DATA office or client site in-office attendance may be required for meetings or events depending on business needs At NTT DATA we are committed to staying flexible and meeting the evolving needs of both our clients and employees NTT DATA recruiters will never ask for payment or banking information and will only use nttdata com and talent nttdataservices com email addresses If you are requested to provide payment or disclose banking information please submit a contact us form NTT DATA endeavors to make accessible to any and all users If you would like to contact us regarding the accessibility of our website or need assistance completing the application process please contact us at This contact information is for accommodation requests only and cannot be used to inquire about the status of applications NTT DATA is an equal opportunity employer Qualified applicants will receive consideration for 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📌 Senior Mlops (Pune)
🏢 NTT Data
📍 Pune