AI & Machine Learning Engineer II - Mexico

AI/ML Engineer II designs, develops, deploys and maintains applications which enable AI-driven solutions that solve complex business problems. In this role, you will take on complex projects and responsibilities, working closely with senior engineers and data scientists to develop and maintain software solutions for data science initiatives. This is an intermediate level individual contributor position ideal for professionals with some experience in the field who are ready to take the next step in their career and contribute to impactful data science initiatives., * Collaborate with data scientists and engineers to collect requirements, design, develop, deploy and support data-driven software solutions.

• Work with stakeholders to identify business opportunities, discuss challenges and contribute to developing solutions.

• Lead the development and optimization of data processing and feature engineering pipelines.

• Deploy, fine-tune and monitor machine learning models and algorithms in production both on-premises and in cloud environments.

• Build, optimize and maintain APIs and microservices for serving machine learning models.

• Implement model performance monitoring and drift detection.

• Write high-quality, efficient, and well-documented code.

• Conduct code reviews and mentor junior engineers on best practices for software development.

• Perform complex data analysis and generate insightful reports and visualizations to support strategic business decisions.

• Troubleshoot and resolve sophisticated software and data issues.

• Self-manage multiple projects, priorities, and timelines.

• Contribute to the continuous improvement of development processes and methodologies.

• Effectively communicate progress and conflicts with management, technical leads, and stakeholders.

• Contribute to the advancement of internal software platforms and packages by researching and adopting purchased and open-source products.

• Stay current with the latest industry trends, technologies, and best practices in data science and software engineering.

• Ensure compliance with data privacy, security, and governance standards.

• Take part in team’s on-call rotation.

• This description is not an exhaustive or comprehensive list of all job responsibilities, tasks, and duties.

• Other duties and responsibilities may be assigned, and the scope of the job may change as necessitated by business demands.

• Maintain regular and consistent attendance and timeliness.

• Exhibit behavior in alignment with our core values at all times.

• Bachelor’s degree in Computer Science, Software Engineering, Data Science, Engineering, Information Systems or a related field.

• 2+ years of experience in software engineering, data science or a related field in information technology.

• Proficient in programming languages such as Python, Java, or C++.

• Strong knowledge of data science libraries and frameworks (e.g., Pandas, NumPy, Scikit-learn).

• Solid understanding of machine learning concepts, algorithms, model evaluation metrics, and feature engineering.

• Experience with SQL and database management.

• Proficiency with version control systems (e.g., Git).

• Familiarity with cloud platforms (e.g., Azure, AWS, Google Cloud) and big data technologies.

• Familiarity with container platforms (e.g., Docker, Kubernetes).

• Familiarity with streaming platforms (e.g., Apache Kafka).

• Familiarity with ML Ops tools (e.g., MLFlow,) and CI/CD concepts.

• Experience developing applications in a Linux server environment preferred.

• Ability to create advanced visualizations with commercial software (e.g., Power BI) or open-source tools (e.g., Matplotlib, Seaborn, Plotly).

• Excellent problem-solving skills and attention to detail.

• Knowledge of advanced analytics software technologies, technical design, programming, monitoring, basic engineering modeling and troubleshooting enabling software related technologies. Also has knowledge of advanced analytics strategies, architectural standards and best practices.

• Business and technical experience in data analytics, application development, or operations research.

• Strong communication and teamwork abilities.

• Demonstrated ability to learn and adapt in a fast-paced environment.

• Transportation and Logistics experience a plus.