Machine Learning Specialist

buscojobs España; Toledo; Presencial; EUR 35.000 - 55.000; Jornada completa

Descripción de la vacante

A leading software development company seeks a Machine Learning Engineer to architect and develop end-to-end solutions. You will manage the machine learning lifecycle, collaborate with cross-functional teams, and enhance the software development process. Ideal candidates will possess strong programming skills and experience with cloud platforms.

Formación

• Proven experience in data engineering or machine learning roles.
• Advanced knowledge of Python, SQL, and Spark.
• Experience with cloud platforms like AWS and GCP.

Responsabilidades

• Architect and develop end to end machine learning solutions.
• Manage and automate machine learning lifecycle.
• Collaborate with data engineers and data scientists.

Conocimientos

Python

SQL

Spark

Team player

Curious profile

Educación

Bachelor’s degree in software engineering / computer science

Herramientas

Docker

Git

Bash Scripting

FastAPI

Sagemaker Studio

Airflow

Cloudformation

Descripción del empleo

Coderio_ is an award-winning nearshore software development and staffing company based in the U.S. and Latin America in 2018 and since then till now we help our clients create their dream projects.

We choose our engineers after several technology tests to assure their knowledge and expertise.

This is why we still work with Top companies all around the world.

We are not only cost-effective, we also work with agile methodologies and in the best time-zones.

Our rock is the Outsourcing services and Staff Augmentation services and our best offer for you, the Experts Delivery Squad.

We provide end to end projects, from web development, mobile applications, UX / UI design, QA Automation and Project Management.

For our outcomes, we were selected by the Buenos Aires City Government and the French Embassy as one of the best software companies in Argentina.

http : / / coderio.co

What will I be doing?

• Architect and develop end to end machine learning solutions.
• Manage and automate machine learning lifecycle.
• Collaborate with data engineers and data scientists to create highly scalable solutions.
• Work on cloud solutions, evaluating the performance and cost of potential architectures.
• Understand the software development life cycle to collaborate and integrate solutions with other technical areas.
• Interact with other teams to understand business challenges and propose solutions.
• Communicate and teach on how to use the developments.

What skills do I need?

• Bachelor’s degree in software engineering / computer science or proven experience in data engineering or machine learning roles.
• Proven experience implementing and deploying machine learning solutions.
• Advanced knowledge of Python, SQL and Spark.
• Knowledge in some of the following tools or similar technologies : Docker, Git, Bash Scripting, FastAPI, Sagemaker Studio, Airflow, Cloudformation.
• Knowledge of data architectures and systems integration.
• Ability to solve complex software system issues.
• Experience with cloud platforms like AWS and GCP.
• Experience in payments or other financial systems is a plus.
• Team player – can effectively participate as an effective team member.
• Curious profile, self learner and positive attitude.