ML Ops Engineer at NTT DATA

Guadalajara, jalisco, Mexico -

Full Time

Start Date

Immediate

Expiry Date

23 Jan, 26

Salary

0.0

Posted On

25 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

ML Pipelines, APIs, Data Science, Artificial Intelligence, Machine Learning, Market Research, Client Satisfaction, Data Preparation, Feature Engineering, AWS SageMaker, MLflow, Kubeflow, Databricks, Python, Kubernetes, Edge ML

Industry

IT Services and IT Consulting

Description

Req ID: 345558 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 Guadalajara, México (MX-MEX), Mexico (MX). Job Duties: Build ML Pipelines and deploy models Define and develop APIs and MCP Serverd Working on projects leveraging your 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 our clients at the appropriate levels, gain 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. Piping and processing 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. Minimum Skills Required: Technical skills required 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 in Developing GitHub Actions using Typescript for CICD * 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 required * Communication, Agile Thinking, * Adaptability, problem-solving, work ethic 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 us.nttdata.com 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. NTT DATA endeavors to make https://us.nttdata.com 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 https://us.nttdata.com/en/contact-us. 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 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.

Responsibilities

The ML Ops Engineer will build ML pipelines and deploy models while defining and developing APIs. They will work on projects leveraging expertise in data science and machine learning to solve complex business problems.