Senior / Lead Machine Learning Engineer (Mlops)

buscojobs España; Madrid; Presencial; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

A leading company in AI/ML is seeking a skilled professional to drive innovation and enhance product offerings. You will work autonomously to identify opportunities, guide technology trends, and develop scalable AI projects while collaborating with cross-functional teams. This role offers flexibility and a chance to be a technology evangelist.

Formación

• 3+ years of ML experience for Senior, 5+ years for Lead.
• Expertise in AI/ML solutions from scoping to deployment.
• Strong communication and soft skills for teamwork.

Responsabilidades

• Identify high-value AI/ML opportunities to enhance products.
• Guide AI/ML technology trends and provide estimates.
• Develop and integrate AI projects ensuring scalability.

Conocimientos

Machine Learning

AI/ML Solutions

Cloud ML Solutions

Model Deployment

Model Monitoring

Software Engineering

DevOps

Scripting

Pipeline Orchestration

Communication Skills

Herramientas

Docker

Kubernetes

AWS

Azure

GCP

Terraform

Helm Charts

Elastic Stack

Prometheus

MLflow

Weights & Biases

Spark

Dask

Polars

Semantic Kernel

LangChain

Keras

TensorFlow

PyTorch

Descripción del empleo

Madrid

EUR 50.000 - 70.000

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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.