We are seeking a skilled machine learning platform engineer (MLOps) to join our agile platform team. In this role, you’ll contribute across the entire lifecycle - from concept to deployment and collaborate closely with cross-functional teams to deliver high-quality digital solutions. Further, you will drive the orchestration of advanced agentic workflows to enable autonomous, AI-driven systems. You will be responsible for engineering robust data pipelines, establishing comprehensive model management lifecycles, overseeing all foundational platform-level AI integrations.
Job Responsibilities
Design, develop and deploy machine learning solutions and services
Implement end-to-end machine learning pipelines from data ingestion to training and model serving
Operationalize LLMs, embeddings, and multi-agent systems in real-world applications
Manage the machine learning and model lifecycle (experimentation, registry, deployment)
Oversee the model promotion lifecycle, coordinating validation gates and approval workflows to safely deploy new model versions from stating to production
Containerize applications using Docker and orchestrate them via Kubernetes
Build and maintain CI/CD pipelines for ML models and LLM applications
Collaborate with data scientists to refactor research code into production-ready Python code
Monitor model performance, data drift, and performance in production
Assess and integrate AI solutions ensuring optimal performance and reliability
Design and implement production grade RAG systems
Collaborate with infrastructure teams, data engineers, data scientists, and other stakeholders to integrate machine learning solutions into existing systems and processes
Participate in code reviews, testing, and debugging to ensure the quality and reliability of machine learning solutions
Job Requirements
Competencies
Strong problem-solving and analytical skills, with the ability to think critically and creatively about complex challenges
Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders at all levels of the organization
Ability to manage personal workloads effectively, to prioritize tasks, manage timelines, and deliver high-quality results on schedule
Continuous learning mindset, with a passion for staying up to date with the latest advancements in machine learning and artificial intelligence
Attention to detail and commitment to producing high-quality, reliable, and maintainable code
Skills requirements
Advanced proficiency in Python programming with a focus on writing clean, testable and efficient code
DevOps & Containers: Proficient with Docker for containerization and working knowledge of Kubernetes (k8s) for orchestration
Practical understanding of GPU architecture and cloud compute instances to optimize resource allocation for training and inference workloads
MLOPS tools: hands on experience with MLflow (or similar tools like weights & biases) for experiment tracking and model registry
Proven experience working with Large Language Models (LLMs)
Good understanding of AI agents & agentic workflows, LLM orchestration frameworks and reasoning patterns
Experience with data preprocessing, feature engineering, and model selection and evaluation techniques
Hands-on experience with CI/CD pipelines (GitLab, Jenkins)
Knowledge of statistical and mathematical concepts relevant to machine learning, such as probability, linear algebra, and optimization
Excellent problem-solving and debugging skills, with the ability to identify and resolve issues quickly and effectively
Relevant work experience in machine learning, data science or a related field
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La Comunidad Cognizant:
Somos un equipo que se aprecia y apoya mutuamente. Nuestros asociados trabajan en un entorno colaborativo e integrador en el que todos pueden prosperar.
- Cognizant es una comunidad global con más de 300.000+ asociados en todo el mundo.
- No solo soñamos con un mundo mejor, sino que trabajamos para hacerlo realidad.
- Cuidamos de nuestros asociados, clientes, socios, comunidades y entorno haciendo lo correcto.
- Fomentamos un entorno innovador en el que puedes desarrollar tu carrera profesional.
Acerca de nosotros
Cognizant (NASDAQ: CTSH) es arquitecto de soluciones de IA y proveedor de servicios tecnológicos que traduce la inversión en inteligencia artificial en valor empresarial real mediante soluciones de IA de stack completo adaptadas a cada cliente. Su profundo conocimiento de la industria, los procesos y la ingeniería le permite integrar el contexto único de cada organización en sistemas tecnológicos que amplifican el potencial humano, generan un impacto real en el negocio y mantienen a las grandes empresas globales un paso adelante en un mundo en constante cambio. Para más información, visita www.cognizant.es o síguenos en @cognizant.
Cognizant es un empleador que ofrece igualdad de oportunidades. Tu solicitud y candidatura no serán consideradas en base a raza, color, sexo, religión, credo, orientación sexual, identidad de género, origen nacional, discapacidad, información genética, embarazo, condición de veterano o cualquier otra característica protegida por las leyes federales, estatales o locales.
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La información sobre remuneración es exacta a la fecha de esta publicación. Cognizant se reserva el derecho a modificar esta información en cualquier momento, sujeto a la legislación aplicable.Es posible que los candidatos deban asistir a entrevistas en persona o por videoconferencia e, incluso, que tengan presentar su documento de identidad vigente, durante cada entrevista.