Senior Data Engineer (Ml)

Remote Mexico, Mexico

Data Science

Cross Industry Solutions

11/06/2024

Req. VR-105201

**Project description**:
We are leveraging machine learning to drive innovation and enhance our products/services. As a Data Engineer, you will play a pivotal role in developing and deploying cutting-edge machine learning solutions to solve complex business problems and create value for our customers.

**Responsibilities**:
Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions leveraging machine learning techniques.

Design and conduct experiments to evaluate the performance of machine learning models, iterate on model designs, and optimize for accuracy, scalability, and efficiency.

Clean, preprocess, and analyze large datasets to extract meaningful insights and features for model training and validation.

**Skills**:
Must have

7+ years of hands-on professional MLOps engineering experience including understanding of container technology, Restful API and other various model deployment techniques and model performance measurement in production.

Databricks: Proficiency in using Databricks for data processing and analytics.

PySpark: Advanced knowledge of PySpark for building scalable data pipelines.

Expertise in MLOps, Feature Store, Model Serving design, implementation, and operations.

Expert proficiency in programming and querying languages including Python and SQL

Proficiency in technologies like MLFlow, Azure ML services etc.

Nice to have

Natural sense of urgency, teamwork, and collaboration reflected in daily work ethic

Master's degree in computer science or related quantitative field of study

**Other**:
Languages

English: C1 Advanced

Seniority

Lead