Principal Data Scientist

Principal Data Scientist

Location:

Monterrey or Mexico City mainly (remote position but willing to assist eventually to the offices when it's required e.g. when upper management or clients from US visits Mexico, etc.)
Language:
English Fluent

Job Description:

We are seeking an exceptional Principal Data Scientist having 10+ years of combined experience in Analytics, Science and Gen AI.
As a Principal Data Scientist, you will play a pivotal role in shaping the future of our initiatives at the intersection of Gen AI, agents, ML and software engineering.
You will work closely with cross-functional teams to design, implement, and optimize solutions using traditional machine learning as well as Gen AI.

Key Responsibilities:

Design, develop, and deploy ML models such as predictive models, time series forecasting models or survival models.
Build and maintain scalable data pipelines on a hyperscaler (preferably GCP). Implement MLOps best practices including CI/CD pipelines, monitoring, training/evaluation and model governance on a hyperscaler (preferably GCP).
Use Gen AI and Agentic AI to build end-to-end custom solutions and implement them in a hyperscaler (preferably GCP).
Ensure scalability, security, and cost efficiency of AI/ML workloads.
Collaborate with cross-functional teams across time zones to achieve the project goal and deliver solutions/products Work closely and communicate efficiently with the client to understand their needs and meet their expectation on requirements and deliverables.
Mention junior team members, brainstorm with them to scope and troubleshoot, provide meaningful advice to help address technical barriers.

Qualifications:

A Master's degree in statistics, Computer Science, Machine Learning, or a related field with a strong emphasis on generative AI.
8+ years of experience in data science and advanced analytics Hand-on experience with MLOps end- to-end Proven experience in designing, developing, and deploying generative AI solutions.
Familiarity with Agentic AI Framework Proficiency in statistical modeling (i.e. regression, classification) and machine learning frameworks (e.g., Tensor Flow, PyTorch).
* Strong programming skills in languages such as Python Have experience with building object detection, segmentation and classification models.

Experience with computer vision and image recognition is a plus, which includes Yolo package, PyTorch, OpenCV, and PIL.

Experience with transfer learning is a plus.
Excellent problem-solving skills and the ability to think creatively and strategically to overcome technical challenges within the Azure and OpenAI ecosystem.
Strong communication and collaboration skills to work effectively in a cross-functional team.