Senior Machine Learning Engineer

3530 Kyndryl España, S.A.U.; Granada; Presencial; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

A leading technology company based in Granada is seeking a Senior Machine Learning Engineer to develop and optimize AI solutions. You'll collaborate closely with architects and data scientists to ensure smooth integration from model prototype to production. The ideal candidate will have 3-5 years of experience in deploying AI/ML models, strong Python skills, and knowledge of MLOps best practices. Join a culture of innovation with ongoing learning opportunities and a diverse workplace that promotes shaping the future of AI.

Servicios

State-of-the-art resources

Employee learning programs

Diversity and inclusion initiatives

Volunteering and fundraising opportunities

Formación

• 3–5 years of experience developing and deploying AI / ML models in production environments.
• Hands-on experience with MLOps frameworks and CI/CD automation.
• Solid understanding of cloud AI platforms.

Responsabilidades

• Build and optimize end-to-end ML pipelines.
• Collaborate with data scientists and architects.
• Automate the full model lifecycle.

Conocimientos

Developing and deploying AI / ML models

Python proficiency

MLOps frameworks

Containerization and orchestration

Cloud AI platforms knowledge

Data preprocessing and versioning

Monitoring and maintaining production models

Database familiarity

Understanding security and compliance principles

Educación

Bachelor's or Master's in Computer Engineering, Data Science, Mathematics, Physics

Postgraduate studies in Artificial Intelligence, Data Science, or Software Engineering

Certifications in cloud platforms or MLOps frameworks

Herramientas

TensorFlow

PyTorch

Scikit-learn

MLflow

Docker

Kubernetes

Azure DevOps

Descripción del empleo

Description

As a Senior Machine Learning Engineer at Kyndryl’s AI Innovation Hub, you’ll be part of the team that transforms ideas and models into scalable, production-grade AI solutions.

Working alongside architects and data scientists, you’ll design and optimize the data and ML pipelines that power intelligent systems across industries. Your mission will be to turn experimental models into efficient, reliable, and maintainable products — bridging the gap between innovation and execution.

You’ll work in an environment where automation, engineering excellence, and curiosity converge, driving the continuous evolution of our AI capabilities. This is a role for those who combine strong technical craftsmanship with a builder’s mindset and a passion for making AI work in the real world.

Your Mission

• Build and optimizeend-to-end ML pipelines, ensuring scalability, efficiency, and reproducibility.
• Collaborate with data scientists and architects to bring models from prototype to production, integrating them seamlessly into enterprise systems.
• Automate thefull model lifecycle— from data ingestion and training to validation, deployment, and monitoring.
• ImplementMLOps best practices, ensuring robust CI / CD, testing, and observability across AI workloads.
• Contribute to the Hub’s technical excellence by evaluating emerging tools, frameworks, and methodologies in ML engineering.
• Champion software engineering standards, code quality, and documentation to ensure reliability and maintainability.
• Continuously improve performance, resource efficiency, and operational resilience of deployed models.
• Collaborate with cross-functional teams to align AI solutions with business goals and enterprise architecture standards.

Who You Are

Essential Qualifications

• 3–5 years of experiencedeveloping and deploying AI / ML modelsin production environments.
• Strong proficiency inPythonand major ML libraries (TensorFlow, PyTorch, Scikit-learn, XGBoost, etc.).
• Hands-on experience withMLOps frameworks(MLflow, Kubeflow, Airflow, DVC) andCI / CD automation(GitHub Actions, Jenkins, Azure DevOps).
• Experience withcontainerization and orchestration(Docker, Kubernetes).
• Solid understanding ofcloud AI platforms(Azure ML, Vertex AI, SageMaker, OpenShift AI).
• Proven skills indata preprocessing, cleaning, and versioning using DataOps practices.
• Experience monitoring and maintaining models in production (data drift, model drift, retraining, observability).
• Familiarity withrelational, NoSQL, and vector databases(SQL, MongoDB, FAISS, Milvus, ChromaDB).
• Understanding ofsecurity, compliance, and FinOps principlesin large-scale AI workloads.

Education & Certifications

• Bachelor’s or Master’s degree inComputer Engineering,Data Science,Mathematics,Physics, or related field.
• Postgraduate studies (Master’s inArtificial Intelligence,Data Science, orSoftware Engineering) are highly valued.
• Certifications incloud platforms(Azure, AWS, GCP) orMLOpsframeworks are a plus.
• Proven commitment to continuous learning and staying up to date with advances in AI engineering and automation.

Preferred Skills

• Experience working withLLMs,RAG architectures, ormulti-agent systems.
• Knowledge offeature engineering,data lineage, andmetadata managementfor ML pipelines.
• Exposure tostreaming dataandreal-time model serving.
• Understanding ofmicroservice-based architecturesandAPI designfor AI integrations.
• Familiarity withobservability tools(Prometheus, Grafana).
• Ability to design reusable components and templates for rapid experimentation and deployment.
• Passion forautomation, optimization, and reproducibilityin ML workflows.

Soft Skills

• Collaborative mindset, working effectively with architects, data scientists, and developers toward shared goals.
• Strong analytical thinkingand problem-solving abilities, balancing rigor with creativity.
• Clear communication, able to explain technical topics to both experts and non-specialists.
• Attention to detailand dedication to high-quality, maintainable, and well-documented code.
• Result-oriented approach, focused on delivering impactful, production-ready solutions.
• Curiosity and initiative, continuously exploring new frameworks, methodologies, and emerging AI tools.

#AgenticAI

Being You Diversity is a whole lot more than what we look like or where we come from, it’s how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we’re not doing it single-handily : Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you – and everyone next to you – the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That’s the Kyndryl Way.

What You Can Expect With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter – wherever you are in your life journey. Our employee learningprograms give you access to the best learning in the industry to receive certifications, includingMicrosoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed.