Senior MLOps

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, Mahārāshtra (IN-MH), India (IN).

Job Description
Job Description: 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 strong 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, https://us.nttdata.com/en/contact-us.

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