Ml Ops Engineer

Descripción del trabajo Req ID: ****** 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 ML Ops Engineer to join our team in Mexico, México (MX-MEX), Mexico (MX). Responsibilities Build ML pipelines and deploy models. Define and develop APIs and MCP servers. Work on projects leveraging expertise in data science, artificial‑intelligence and machine learning. Assist in breaking down complex business problems, developing solutions, and delivering with a high degree of focus on client satisfaction. Conduct market research, develop a point‑of‑view and communicate effectively back to clients and stakeholders. Bring innovative thinking, resourcefulness, leveraging best practices and creativity to achieve successful client outcomes. Establish relationships with clients at the appropriate levels, gaining an understanding of the project work and problems encountered. Work with data sets of varying degrees of size and complexity, including both structured and unstructured data. Pipe and process massive data streams in distributed computing environments. Implement batch and real‑time model scoring. Assemble large, complex data sets that meet functional/non‑functional business requirements. Apply business knowledge to analyze data, develop reports and solve problems. Perform ad hoc analyses of data depending on business needs. Participate in the analysis and resolution of issues related to information flow and content with data stakeholders. Qualifications 5+ Years as an ML Ops Engineer with experience in the following: Proficiency in AWS SageMaker and AWS Cloud Services. Experience with ML lifecycle tools (e.g., MLflow, Kubeflow). Familiarity with Weights & Biases for experiment tracking. Hands‑on with Databricks for scalable data and ML workflows. Strong Python programming skills. Experience developing GitHub Actions using TypeScript for CI/CD. Experience with Kubernetes for container orchestration. Understanding of Edge ML deployment strategies. Expertise in ML training and inference workflows. Skills in data preparation and feature engineering. Soft Skills Communication, Agile thinking. Adaptability, problem‑solving, work ethic. Seniority level: Mid‑Senior level Employment type: Full‑time Job function: Engineering and Information Technology Industries: IT Services and IT Consulting About NTT DATA NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long‑term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start‑up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at https://us.nttdata.com. Whenever possible, we hire locally to NTT DATA offices or client sites. 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. EEO Statement NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here. #J-18808-Ljbffr