Data Engineer

Lexmark is now a proud part of Xerox bringing together two trusted names and decades of expertise into a bold and shared vision When you join us you step into a technology ecosystem where your ideas skills and ambition can shape what comes next Whether you re just starting out or leading at the highest levels this is a place to grow stretch and make real impact across industries countries and careers From engineering and product to digital services and customer experience you ll help connect data devices and people in smarter faster ways This is meaningful connected work on a global stage with the backing of a company built for the future and a robust benefits package designed to support your growth well-being and life beyond work Responsibilities A Data Engineer with AI ML focus combines traditional data engineering responsibilities with the technical requirements for supporting Machine Learning ML systems and artificial intelligence AI applications This role involves not only designing and maintaining scalable data pipelines but also integrating advanced AI ML models into the data infrastructure The role is critical for enabling data scientists and ML engineers to efficiently train test and deploy models in production This role is also responsible for designing building and maintaining scalable data infrastructure and systems to support advanced analytics and business intelligence This role often involves leading mentoring junior team members and collaborating with cross-functional teams Key Responsibilities Data Infrastructure for AI ML Design and implement robust data pipelines that support data preprocessing model training and deployment Ensure that the data pipeline is optimized for high-volume and high-velocity data required by ML models Build and manage feature stores that can efficiently store retrieve and serve features for ML models AI ML Model Integration Collaborate with ML engineers and data scientists to integrate machine learning models into production environments Implement tools for model versioning experimentation and deployment e g MLflow Kubeflow TensorFlow Extended Support automated retraining and model monitoring pipelines to ensure models remain performant over time Data Architecture Design Design and maintain scalable efficient and secure data pipelines and architectures Develop data models both OLTP and OLAP Create and maintain ETL ELT processes Data Pipeline Development Build automated pipelines to collect transform and load data from various sources internal and external Optimize data flow and collection for cross-functional teams MLOps Support Develop CI CD pipelines to deploy models into production environments Implement model monitoring alerting and logging for real-time model predictions Data Quality Governance Ensure high data quality integrity and availability Implement data validation monitoring and alerting mechanisms Support data governance initiatives and ensure compliance with data privacy laws e g GDPR HIPAA Tooling Infrastructure Work with cloud platforms AWS Azure GCP and data engineering tools like Apache Spark Kafka Airflow etc Use containerization Docker Kubernetes and CI CD pipelines for data engineering deployments Team Collaboration Mentorship Collaborate with data scientists analysts product managers and other engineers Provide technical leadership and mentor junior data engineers Core Competencies Data Engineering Apache Spark Airflow Kafka dbt ETL ELT pipelines ML AI Integration MLflow Feature Store TensorFlow PyTorch Hugging Face GenAI LangChain OpenAI API Vector DBs FAISS Pinecone Weaviate Cloud Platforms AWS S3 SageMaker Glue GCP BigQuery Vertex AI Languages Python SQL Scala Bash DevOps Infra Docker Kubernetes Terraform CI CD pipelines Educational Qualifications Bachelor s or Master s degree in Computer Science Engineering or related field 5 years of experience in data engineering or related field Strong understanding of data modeling ETL ELT concepts and distributed systems Experience with big data tools and cloud platforms Soft Skills Strong problem-solving and critical-thinking skills Excellent communication and collaboration abilities Leadership experience and the ability to guide technical decisions How to Apply Are you an innovator Here is your chance to make your mark with a global technology leader Apply now Global Privacy Notice Lexmark is committed to appropriately protecting and managing any personal information you share with us Click to view Lexmark s Privacy Notice