Chief Analytics Engineer

beBeeMachineLearning; León; Presencial; MXN 1,828,000 - 2,378,000; Jornada completa

Descripción de la vacante

A technology company in León, Mexico is seeking an exceptional Data Scientist with 10+ years of experience in analytics and Generative AI. This role involves designing and implementing machine learning solutions and optimizing workflows on platforms like GCP. The ideal candidate will have a Master's degree, MLOps experience, and strong skills in Python. Collaboration across teams and effective communication with clients are critical for success in this multifaceted position.

Formación

• Master's degree with emphasis on generative AI.
• 8+ years of experience in data science.
• Hands-on experience with MLOps end-to-end.
• Experience in designing generative AI solutions.
• Proficiency in statistical modeling and frameworks.
• Strong programming skills in Python.
• Communication and collaboration skills.

Responsabilidades

• Design, develop, and deploy predictive models.
• Build and maintain scalable data pipelines.
• Implement MLOps practices including CI/CD.
• Collaborate with cross-functional teams for project goals.
• Work closely with clients to understand needs.

Conocimientos

Generative AI

MLOps

Python

Statistical modeling

Machine learning frameworks

Problem-solving

Collaboration

Educación

Master's degree in statistics, Computer Science, Machine Learning or a related field

Herramientas

TensorFlow

PyTorch

OpenCV

PIL

Descripción del empleo

We are seeking an exceptional Data Scientist having 10+ years of combined experience in Analytics, Science and Gen AI. As a key member of our team, 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 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 clients to understand their needs and meet their expectations
• 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., TensorFlow, PyTorch)
• Strong programming skills in languages such as Python
• 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