Machine Learning Engineer

Join Accenture and help transform leading organizations and communities around the world. The sheer scale of our capabilities, client engagements, and the way we collaborate, operate and deliver value provides an unparalleled opportunity to grow and advance. Choose Accenture, and make delivering innovative work part of your extraordinary career. About the Role As an ML Engineer, you will design, build, deploy, and maintain machine learning models that power intelligent, data-driven digital products. You will collaborate with data scientists, engineers, and product teams to turn business needs into scalable ML solutions that deliver measurable impact. Key Responsibilities Design, develop, and operationalize machine learning models to support digital product features and analytics capabilities Build and maintain end-to-end ML pipelines, including data preparation, model training, validation, and deployment Develop and expose inference services via APIs for real-time and batch use cases Implement model monitoring, performance evaluation, and lifecycle management practices Optimize models and pipelines for scalability, reliability, and efficiency in production environments Collaborate closely with cross-functional teams to translate business requirements into ML solutions Maintain clear documentation across model design, processes, and deployment workflow Requirements: **Required Qualifications** • Strong programming skills in Python for model development and data processing • Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn • Experience deploying models into production environments using APIs or containerized services • Familiarity with building data pipelines for feature engineering and model training • Understanding of MLOps practices, including CI/CD, monitoring, and automated workflows • Experience working with cloud platforms and distributed computing tools • Strong analytical and problem-solving skills with attention to detail ### Preferred Qualifications • Experience with ML model monitoring tools and model drift detection • Knowledge of data versioning tools (e.g., DVC, MLflow) • Familiarity with microservices and container orchestration (e.g., Docker, Kubernetes) • Exposure to real-world ML deployment challenges and optimizations ### About the Company / Team You will join Accenture's technology and innovation teams that focus on building intelligent, data-driven solutions for clients across a variety of industries. The team values experimentation, continuous learning, and close collaboration. You will work in an environment that encourages innovation, autonomy, and technical excellence while delivering meaningful business outcomes. Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.