The RoleAs a Machine Learning Engineer, you will be responsible for the ML lifecycle—from data ingestion and model development to deployment and monitoring in production. You will be working on real-world, large-scale challenges, applying strong engineering practices to build reliable machine learning systems.
ResponsibilitiesDesign, develop, and deploy machine learning models for production use cases (e.g., recommendation systems, NLP, computer vision, predictive analytics)Build and maintain scalable ML pipelines for training, evaluation, and inferenceWork with both structured and unstructured data across diverse domainsImplement robust data preprocessing, feature engineering, and transformation workflowsEnsure data quality, integrity, and compliance with data governance standards (e.g., GDPR)Optimize models for performance, scalability, and cost-efficiency in production environmentsCollaborate with data engineers, software engineers, and product stakeholdersDeploy and manage models using cloud platforms (AWS, Azure, or GCP) and containerization toolsImplement monitoring, validation, and testing frameworks to ensure model reliabilityContinuously improve model performance through experimentation, iteration, and validationContribute to MLOps practices, including CI/CD pipelines, model versioning, and reproducibility
Your Profile3–6+ years of experience in Machine Learning Engineering, AI Engineering, or related rolesStrong programming skills in PythonHands-on experience with ML/DL frameworks (e.g., TensorFlow, PyTorch)Solid understanding of machine learning algorithms, model evaluation, and optimization techniquesProven experience building and deploying ML pipelines in production environmentsFamiliarity with data engineering concepts (ETL/ELT, data pipelines)Experience with cloud platforms (AWS, Azure, or GCP)Experience with containerization tools (Docker, Kubernetes) is a plusUnderstanding of MLOps practices and tools (e.g., MLflow, Airflow)Experience working with large-scale or complex datasetsAwareness of data privacy and governance best practices
The OfferCompetitive salary and comprehensive benefits packageHybrid working environmentOpportunity to work on high-impact, scalable ML systems in a modern tech environmentRoute for growth within the company
ApplyIf this opportunity excites you, apply today or send your CV and a short cover letter to ryan.martin@vividresourcing.com