高级AI ML工程师（瓜达拉哈拉，JAL，MX）
Sr AI ML Engineer (Guadalajara, JAL, MX)
Req ID:380037
NTT DATA致力于招募优秀、创新且充满热情的个人，与我们共同成长。如果您希望加入一个包容、灵活且具有前瞻性的组织，请立即申请。
我们目前正寻求一名高级AI ML工程师（远程），加入位于墨西哥哈利斯科州瓜达拉哈拉（MX-JAL）的团队。
我们寻找的人
丰田OneTech数据部门正在寻找一位有动力的机器学习工程师，为构建可扩展的机器学习解决方案做出贡献，以增强客户智能并支持业务决策。
向数据科学与自动化办公室的客户数据科学经理汇报，您将与跨职能团队合作，开发和部署机器学习模型，以优化营销投资并提高客户参与度。
您将负责的工作
- 开发和实现机器学习模型，如推荐引擎、客户细分和预测分析，以支持以客户为中心的业务计划。
- 与数据科学家和工程师合作，将业务需求转化为技术解决方案。
- 主要使用Python、PySpark和SQL编写干净、可维护且生产级的代码。
- 使用Spark、Airflow或类似工具帮助构建和维护数据管道和工作流。
- 参与模型验证、测试和部署过程。
- 向技术和非技术利益相关者有效传达发现和模型见解。
- 在敏捷环境中与产品经理、数据科学家和工程师协作，交付数据驱动的产品。
您需要具备的条件
- 数据科学、计算机科学、工程、数学、统计学或相关定量领域的学士学位。
- 2-4年机器学习或数据工程相关工作的专业经验。
- 对机器学习算法有扎实的理解，并有将其应用于实际问题的经验。
- 熟练掌握Python和SQL；有PySpark或其他大数据工具经验者优先。
- 熟悉机器学习框架，如TensorFlow或PyTorch。
- 有云平台和ML工具（如AWS Sagemaker或Databricks）经验者优先，但非必需。
- 能够在团队中协作工作，并清晰地传达技术概念。
加分项包括
- 有在生产环境中部署机器学习模型的经验。
- 接触过CI/CD流水线和版本控制。
查看英文原文
Req ID:380037
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 Sr AI ML Engineer (Remote) to join our team in Guadalajara, Jalisco (MX-JAL), Mexico (MX).
Who we’re looking for
Toyota’s OneTech Data department is seeking a motivated Machine Learning Engineer to contribute to building scalable machine learning solutions that enhance customer intelligence and support business decision-making.
Reporting to the Customer Data Science Manager at the Office of Data Science and Automation, you will collaborate with cross-functional teams to develop and deploy machine learning models that optimize marketing investments and improve customer engagement.
What you’ll be doing
- Develop and implement machine learning models such as recommendation engines, customer segmentation, and predictive analytics to support customer-centric business initiatives.
- Collaborate with data scientists and engineers to translate business requirements into technical solutions.
- Write clean, maintainable, and production-quality code primarily in Python, PySpark, and SQL.
- Assist in building and maintaining data pipelines and workflows using Spark, Airflow, or similar tools.
- Participate in model validation, testing, and deployment processes.
- Communicate findings and model insights effectively to both technical and non-technical stakeholders.
- Work in an agile environment alongside product managers, data scientists, and engineers to deliver data-driven products.
What you bring
- Bachelor’s degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, or related quantitative field.
- 2-4 years of professional experience in machine learning or data engineering roles.
- Solid understanding of machine learning algorithms and experience applying them to real-world problems.
- Proficiency in Python and SQL; experience with PySpark or similar big data tools is a plus.
- Familiarity with machine learning frameworks such as TensorFlow or PyTorch.
- Experience with cloud platforms and ML tools like AWS Sagemaker or Databricks preferred but not required.
- Ability to work collaboratively in a team and communicate technical concepts clearly.
Added bonus if you have
- Experience deploying machine learning models in production environments.
- Exposure to CI/CD pipelines and version control systems like GitHub.
- Knowledge of data visualization tools such as Power BI or Tableau.
- Interest or experience in the automotive industry.
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, @nttdatafed.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 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.
Originally posted on Himalayas