Senior/Lead Machine Learning Engineer (MLOps)

TN Spain; Madrid; Presencial; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

An established industry player is seeking a talented AI/ML expert to drive innovation and enhance product offerings. In this dynamic role, you will leverage your technical prowess to identify high-value AI opportunities, guide the team on the latest technology trends, and develop cutting-edge AI projects. Collaborating with cross-functional teams, you'll ensure the successful deployment and monitoring of ML models. This position offers a unique chance to evangelize AI technology, sharing insights through webinars and publications. Join a flexible and inclusive workplace that values innovation and fosters community, allowing you to work in a way that suits your lifestyle while making a significant impact.

Formación

• 3+ years of ML experience for Senior, 5+ for Lead with successful projects.
• Expertise in AI/ML solutions from design to deployment and monitoring.

Responsabilidades

• Identify and integrate high-value AI/ML opportunities into product offerings.
• Collaborate with cross-functional teams to deploy and document ML models.

Conocimientos

Machine Learning Expertise

AI/ML Solutions Production

Cloud ML Solutions

Model Deployment Tools

Model Monitoring Tools

Software Engineering

DevOps Practices

Scripting (Shell)

Pipeline Orchestration

Programming (Python, C#)

Data Handling and Feature Engineering

Communication Skills

Soft Skills

Herramientas

Docker

Kubernetes

AWS

Azure

GCP

Seldon Core

KServe

Elastic Stack

Prometheus

Alibi Detect

Terraform

Helm Charts

Airflow

Kubeflow

Argo Workflows

MLflow

Weights & Biases

Spark

Dask

Polars

Descripción del empleo

Social network you want to login/join with:

Client:

IFS

Location:

Madrid, Spain

Job Category:

Other

EU work permit required:

Yes

Job Views:

1

Posted:

30.03.2025

Expiry Date:

14.05.2025

Job Description:

This role is all about hands-on technical prowess. You’ll be working with autonomy, accountability, and technical brilliance. Your mission includes:

• Identify High-Value AI/ML Opportunities: Spot high-value AI/ML opportunities to enhance our product offerings.
• Guide AI/ML Technology Trends: Serve as our AI/ML technology expert, guiding the team towards the latest AI infrastructure and delivery trends. Provide estimates and shape our AI delivery platform.
• Develop and Integrate AI Projects: Craft and integrate AI projects from the ground up. Take proofs of concept through to implementation and deployment, ensuring scalability and top-tier performance.
• Collaborate with Cross-Functional Teams: Work closely with Data Engineers, Data Scientists, Software Engineers, Solution Architects, and Product/Program Managers to define, create, deploy, monitor, and document ML models that are both tailored and industry-leading.
• Evangelize AI/ML Technology: Become an AI/ML technology evangelist. Shine on the conference stage, host webinars, and pen compelling white papers and blogs. Share discoveries with clients and internal stakeholders, offering actionable insights that drive change.

Qualifications:

• Experience: 3+ years of machine learning (ML) expertise for Senior, 5+ years of machine learning (ML) expertise for Lead, demonstrated through successfully completed projects.
• AI/ML Solutions: Expertise in bringing AI/ML solutions to production, including scoping, design, development, testing, deployment, and monitoring.
• Cloud ML Solutions: Knowledge in creating and delivering Cloud ML solutions at scale using Docker, Kubernetes, and cloud services (e.g., AWS, Azure, GCP).
• Model Deployment: Experience with model deployment and serving tools like Seldon Core and KServe.
• Model Monitoring: Expertise in monitoring models and evaluating metrics to drive optimizations using tools like Elastic Stack, Prometheus, and Alibi Detect.
• Software Engineering and DevOps: Solid background in software engineering, DevOps, and MLOps practices, with familiarity in managing infrastructure as code using tools like Terraform and Helm Charts.
• Scripting: Expertise in scripting (shell) to automate tests and procedures, ensuring reliability and validity of code repositories.
• Pipeline Orchestration: Proficiency with pipeline orchestration tools, such as Airflow, Kubeflow, and Argo Workflows.
• Programming Skills: Proficiency in Python, C#, and ML libraries and tools such as Semantic Kernel, LangChain, Keras, TensorFlow, and PyTorch.
• ML Experiment Tracking: Familiarity with ML experiment tracking and collaboration tools, such as MLflow and Weights & Biases.
• Data Handling: Skills in data handling and feature engineering, with the ability to use big data technologies such as Spark, Dask, and Polars.
• Communication Skills: Outstanding communication skills, with the ability to convey complex technical concepts to non-technical stakeholders and work effectively with cross-functional teams.
• Soft Skills: A results-driven attitude, a passion for innovation, and a proactive, self-starting nature. Strong organizational skills, capable of juggling multiple tasks, and a strategic thinker always on the hunt for the next big thing.

Additional Information:

We embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles, while also valuing inclusive workplace experiences. By fostering a sense of community, we drive innovation, strengthen connections, and nurture belonging. Our commitment ensures you can work in a way that suits you best, while also engaging with colleagues to share ideas and build meaningful relationships.