Machine Learning Engineer

hace 5 meses

Guadalajara, México Capgemini Engineering A tiempo completo

Role**:Machine Learning Ops Platform Engineer**

Location**:REMOTE **from anywhere in the Mexican territory.

Practice**:Software Engineering**

Industry - Sector**:Shipping line**

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.

**YOUR ROLE**

The ML Engineering team is responsible for architecting the productionalized solution around rules-based and AI/ML models to integrate predictions seamlessly into the business processes, ensuring governance, resiliency, explainability, reproducibility, and scalability of the models. We are looking for a highly capable ML Platform Engineer to optimize rules-based and machine learning systems. As an engineer for the ML platform you will be working at the intersection of machine learning, DevOps, and data engineering (i.e. MLOps).
- Lead and consult with business stakeholders and data science teams to define data engineering and MLOps requirements.
- Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
- Developing reusable data and feature stores for rules-based and AI/ML models.
- Developing alerting tool frameworks for monitoring productionized model performance and effectiveness.
- Automate deployments incorporating MLOps best practices into productionalized solutions.
- Document frameworks and machine-learning processes.
- Build simple front-end reporting solution for shipboard engineers to consume the insights. (web app development)

**YOUR PROFILE**
- Good conversational **English **(B2, C1, C2)
- ** 4-6 years** of professional experience relevant to the role
- Experience **building scalable machine learning systems and data-driven products** working with cross-functional teams.
- Well-developed software engineering fundamentals, including use of proper development, QA, and production environments, and the ability to write production-level code when needed.
- Experience **creating a python package**:

- Proficiency in **Python **and experience with common **data analytics packages** (e.g. Numpy, Pandas, Sklearn, PySpark).
- Proficiency in **Databricks **& **MLFlow**:

- Proficiency in **SQL**.
- Good **communication **skills and the ability to understand and synthesize requirements across multiple project domains.
- Works effectively with **cross-functional teams**.

Desired Skills
- Python or Javascript web app development experience
- Experience in a large corporation or consulting firm
- Experience with IoT and/or sensor data

**WHAT YOU’LL LOVE ABOUT WORKING HERE**
- At Capgemini Engineering, we encourage flexibility in how, when, and where people get their work done, allowing a better work-life balance, and greater empowerment. They partner with their managers to find an arrangement that works best for their role and their circumstances.
- If you join us, you’ll find we’ll support your career at every stage. We’ll connect you with diverse, worldwide networks, and help you take your skills to the next level.
- At Capgemini Engineering, Team Spirit is very strong, and People feel supported. I’m not just part of a team - I’m part of a community. A friendly, can-do group of people for whom collective effort comes naturally.

**ABOUT CAPGEMINI**

Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 300,000 team members in nearly 50 countries. With its strong 50-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering, and platforms.

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