Senior Machine Learning Engineer job opportunity at Kyndryl.

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DatePosted 30 Days Ago bot
Kyndryl Senior Machine Learning Engineer
Experience: 5-years
Pattern: full-time
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loacation Madrid, Spain, Spain
loacation Madrid, Spain....Spain

Who We Are At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world’s leading businesses.  We are at the heart of progress; with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. For our people—Kyndryls—that means doing purposeful work that powers human progress. Join us and experience a flexible, supportive environment where your well-being is prioritized and your potential can thrive. The Role We’re looking for exceptional talent to join our AI Agentic Innovation Hub at Kyndryl!   Job 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 optimize  end-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 the full model lifecycle — from data ingestion and training to validation, deployment, and monitoring.   Implement  MLOps 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 experience developing and deploying AI/ML models in production environments.   Strong proficiency in Python and major ML libraries (TensorFlow, PyTorch , Scikit-learn, XGBoost , etc.).   Hands-on experience with  MLOps frameworks ( MLflow , Kubeflow, Airflow, DVC) and CI/CD automation( GitHub Actions, Jenkins, Azure DevOps).   Experience with containerization and orchestration (Docker, Kubernetes).   Solid understanding of cloud AI platforms (Azure ML, Vertex AI, SageMaker, OpenShift AI).   Proven skills in data preprocessing, cleaning, and versioning using DataOps practices.   Experience monitoring and maintaining models in production (data drift, model drift, retraining, observability).   Familiarity with relational, NoSQL, and vector databases (SQL, MongoDB, FAISS, Milvus, ChromaDB ).   Understanding of security, compliance, and FinOps principles in large-scale AI workloads.     Education & Certifications   Bachelor’s or Master’s degree in Computer Engineering , Data Science, Mathematics, Physics, or related field.   Postgraduate studies (Master’s in Artificial Intelligence, Data Science, or Software Engineering) are highly valued.   Certifications in cloud platforms (Azure, AWS, GCP) or  MLOps  frameworks are a plus.   Proven commitment to continuous learning and staying up to date with advances in AI engineering and automation.   Preferred Skills   Experience working with LLMs, RAG architectures, or multi-agent systems.   Knowledge of feature engineering, data lineage, and metadata management for ML pipelines.   Exposure to streaming data and real-time model serving.   Understanding of microservice-based architectures and API design for AI integrations.   Familiarity with observability tools (Prometheus, Grafana).   Ability to design reusable components and templates for rapid experimentation and deployment.   Passion for automation, optimization, and reproducibility in ML workflows.   ​ Soft Skills   Collaborative mindset, working effectively with architects, data scientists, and developers toward shared goals.   Strong analytical thinking and problem-solving abilities, balancing rigor with creativity.   Clear communication, able to explain technical topics to both experts and non-specialists.   Attention to detail and 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 The “Kyn” in Kyndryl means kinship, which represents the strong bonds we have with each other, our customers and our communities. We focus on ensuring all Kyndryls feel included and we welcome people of all cultures, backgrounds, and experiences. Even if you don’t meet every requirement, we encourage you to apply. We believe in growth, and we’re excited to see what you can bring. At Kyndryl, employee feedback has told us that our number one driver of employee engagement is belonging. That sense of belonging — being a valued, respected, trusted member of the team — is fundamental to our culture and fueling great experiences for our customers. This dedication to welcoming everyone into our company means that Kyndryl gives you the ability to thrive and contribute to our culture of empathy and shared success. That’s The Kyndryl Way. What You Can Expect Your career with us isn’t just a job—it’s an adventure with purpose.  We offer a dynamic, hybrid-friendly culture that supports your well-being and empowers you to grow. Our Be Well programs are thoughtfully designed to support your financial, mental, physical, and social health—because we know that when you feel your best, you do your best. From your very first day, you’ll dive into impactful work that powers the systems our customers rely on every day. You won’t just contribute—you’ll make a difference, tackling meaningful projects that sharpen your skills and fuel your growth. We’re here to champion your journey. With powerful tools to chart your career path, personalized development goals aligned with your ambitions, and continuous feedback to keep you inspired and on track, you’ll have everything you need to thrive and evolve. You’ll develop in-demand skills to grow your career and achieve your ambitions with access to cutting-edge learning opportunities—from certifications with Microsoft, Google, and Amazon to coaching and hands-on experiences. And through it all, you’ll be part of a culture that values empathy, restless learning, and a devotion to shared success. We want you to thrive here—and we’re committed to helping you do just that. Ready to make an impact? Join us and help shape what’s next. Get Referred! If you know someone that works at Kyndryl, when asked ‘How Did You Hear About Us’ during the application process, select ‘Employee Referral’ and enter your contact's Kyndryl email address.

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