Sr. Machine Learning Engineer

buscojobs España; Valencia; Presencial; EUR 45.000 - 90.000; Jornada completa

Descripción de la vacante

An innovative technology company is on the lookout for a Senior AI / ML Engineer to revolutionize healthcare through advanced machine learning solutions. In this pivotal role, you will design and implement AI-driven applications, ensuring seamless integration with existing systems. Collaborating with cross-functional teams, you'll leverage your expertise in Python, various AI frameworks, and MLOps to create impactful solutions that enhance patient care. This position offers robust development opportunities in a dynamic environment that values creativity and technical excellence. If you're passionate about transforming healthcare with cutting-edge technology, this role is tailor-made for you!

Formación

• 5+ years of experience in building and deploying ML applications.
• Strong collaboration skills and expertise in AI/ML frameworks.
• Experience managing cloud infrastructure and CI/CD tools.

Responsabilidades

• Design and develop Software as a Service offerings.
• Maintain Machine Learning pipelines and model deployment.
• Collaborate in an Agile framework to deliver new capabilities.

Conocimientos

Machine Learning

Python

AI frameworks (XGBoost, scikit-learn)

Agile methodologies

Database technologies

Cloud infrastructure (AWS, GCP)

MLOps frameworks (MLFlow, Kubeflow)

CI/CD technologies (Jenkins, Git)

Object-Oriented Analysis and Design

Analytical skills

Educación

Bachelor's in Computer Science

Master's in Computer Science

Herramientas

AWS

GCP

CloudFormation

Terraform

Airflow

Jenkins

Git

Descripción del empleo

A high-growth technology company is seeking an experienced Senior AI / ML Engineer to help transform healthcare by providing a trusted single source of truth for identity across the care continuum. The mission is centered on revolutionizing healthcare through cutting-edge technology and providing robust development opportunities for employees.

Responsibilities

• Collaborate in the design and development of Software as a Service offerings
• Work with cross-functional teams on AI / ML software development and delivery
• Design, build, test, run, and maintain Machine Learning pipelines, including model training workflows, model deployment, and model serving
• Work effectively within an Agile framework to deliver new capabilities
• Own the end-to-end implementation of AI / ML infrastructure and MLOps framework for model telemetry and experiment tracking
• Integrate Python-based recommendation engines with backend APIs and databases
• Participate in all phases of the Software Development Life Cycle : Design, new feature development, test automation, performance tuning, troubleshooting, software maintenance, CI / CD infrastructure, and service integrations
• Advise and consult on AI / ML-related issues and optimizations with engineering, product, and customer experience teams

Requirements :

• BS or MS in Computer Science, Engineering, or a related field
• 5+ years of experience in building and deploying Machine Learning-based software applications, with 7+ years of overall industry experience
• Strong collaboration skills with onsite / remote teammates, utilizing agile methodologies
• Expertise in various AI / ML frameworks and libraries, including XGBoost, scikit-learn, pandas, numpy, keras, huggingface, etc.
• Hands-on experience in developing and deploying Python applications in production
• Experience with MLOps frameworks such as MLFlow, Kubeflow, etc.
• Proven experience in end-to-end ML pipeline work, including model storage, training, versioning, serving, containerization, and deployment
• Proficiency in database technologies, SQL queries, and orchestration tools like Airflow
• Experience managing cloud infrastructure in AWS or GCP with templating software like CloudFormation or Terraform
• Strong understanding of Object-Oriented Analysis and Design principles, including Design Patterns
• Familiarity with CI / CD technologies such as Jenkins, Git, SonarQube
• Strong technical and analytical skills, with the ability to analyze system functionality and resolve production issues
• Ability to work under pressure with tight deadlines and manage ambiguity on certain projects
• Experience with systems and software architecture
• Strong communication and presentation skills