**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,
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

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