The AI ML Analyst II implements and supports the minimum viable product data requirements within the data lake team.
Data Analysts and Data Scientists define these requirements and the Data Architect validates them.
The role focuses on the technical configuration aspects of the data lake, including the design and implementation of data ingestion and integration frameworks.
**Key Responsibilities**
- Partner with AI/ML product teams proactively identify the data needs for rapid experimentation, stable production deployment and ensure the required data availability by collaborating with Product teams
- Support the Data Analysts, Data Scientists, MLOps engineers in developing optimized data models, pipelines and frameworks
- Building pipelines to ingest, clean, and transform structured, semi-structured and unstructured data (text, images, pdf, etc) formats.
- Conducted data profiling, validation, and anomaly detection to identify quality issues early in the lifecycle.
- Build Vector databases for semantic search and retrieval of unstructured content.
- Collaborate with data scientists and ML engineers to design end‐to‐end generative AI solutions.
- Build clean error free MVP ready data models.
**Qualifications**
- 5 years of experience that includes ETL/ELT workflow experience in design, configuration, data mapping, extraction, transformation and loading and writing code and maintaining it.
- Have data warehousing high-level principles and understanding of business intelligence.
- Experience working with Databricks and Apache Spark/PySpark.




- Proficiency with complex SQL development.
- Fluent in English.
Benefits like pension plan, medical and life insurance, salary will be reviewed in the interview meeting.
#LI-Hybrid This is a hybrid role.
**About us**:
**PPG: WE PROTECT AND BEAUTIFY THE WORLD**
Benefits will be discussed with you by your recruiter during the hiring process.
**- How we work**: At PPG, we bring teams together to accelerate collaboration and career development, with in-person work Monday through Thursday and the opportunity to work remotely on Versátil Fridays.
Schedules may vary by location.
**- About us**:
**PPG: WE PROTECT AND BEAUTIFY THE WORLD**
**The PPG Way ******
**We are customer champions**
Proactive.
Bold.
Trustworthy.
Everything we do starts with our customers.
We listen, move fast and don't stop until we solve their biggest challenges.
When our customers win, we all grow.
**We act with purpose and speed**
Agile.
Data-driven.
Empowered.
We take smart risks to stay ahead of the competition.
We work proactively with agility, using quality data to develop solutions that create value.
**We are excellent operators**
Productive.
Collaborative.




Accountable.
No matter our role, we identify problems, take ownership and always bring solutions.
We are both proactive and responsive to drive continuous improvement and deliver results.
We support our frontline, the faces of PPG to our customers.
**We compete to win**
Future-focused.
Driven.
Ambitious.
We are passionate about growing our business and winning with our customers.
We deliver results, embrace new technologies and leverage agility and speed as strengths.
**We are PPG proud**
Strong.
United.
Passionate.
We work safely, act with integrity and value our diverse perspectives.
We celebrate achievements and take pride in the positive impact we create together to protect and beautify the world.
PPG pay ranges and benefits can vary by location which allows us to compensate employees competitively in different geographic markets.
PPG considers several factors in making compensation decisions including, but not limited to, skill sets, experience and training, qualifications and education, licensure and certifications, and other organizational needs.
Other incentives may apply.
Our employee benefits programs are designed to support the health and well-being of our employees.
Any insurance coverages and benefits will be in accordance with the terms and conditions of the applicable plans and associated governing plan documents.
Benefits will be discussed with you by your recruiter during the hiring process.

📌 Machine Learning Analyst (Queretaro) (Santiago de Querétaro)
🏢 Ppg
📍 Santiago de Querétaro