About the Role

We are seeking an AI/ML Engineer to design, develop, and deploy machine learning solutions that drive business innovation and deliver measurable impact. This role involves working closely with cross-functional teams to build scalable AI-powered applications, optimize data pipelines, and implement machine learning models that support business and technology objectives.

The ideal candidate combines strong software engineering fundamentals with hands-on experience in machine learning, data analytics, and cloud-based deployment environments. This role offers opportunities to work on cutting-edge AI initiatives while continuously developing technical expertise.

Key Responsibilities

• Design, develop, test, and deploy machine learning models and AI-driven applications for business use cases.
• Build and maintain scalable data processing and ETL pipelines to support model training and inference.
• Collaborate with data scientists, engineers, and business stakeholders to translate requirements into technical solutions.
• Monitor, evaluate, and improve model performance, accuracy, scalability, and reliability
• Implement MLOps best practices, including model versioning, automated deployment, monitoring, and governance.
• Troubleshoot and resolve software, model, and data-related issues to ensure smooth production operations.
• Develop and maintain reusable code, technical documentation, and engineering standards.
• Contribute to continuous improvement initiatives and support innovation through emerging AI/ML technologies and methodologies.

Job Qualifications

• Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Software Engineering, Mathematics, Statistics, or a related field.
• Minimum 1 year of experience in Machine Learning, Artificial Intelligence, Data Engineering, or Software Engineering.
• Proven experience developing and deploying machine learning models in production environments.
• Strong knowledge of Big Data Analytics and data processing frameworks.
• Proficiency in Python and common machine learning libraries such as TensorFlow, PyTorch, Scikit-learn, or similar.
• Understanding of software development lifecycle, version control, testing, and deployment methodologies.
• Strong analytical, problem-solving, and communication skills.
• Experience building and maintaining ETL pipelines.
• Hands-on experience with Machine Learning Operations (MLOps) tools and practices.
• Knowledge of cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform.
• Experience with Data Visualization tools such as Power BI, Tableau, or similar platforms.
• Understanding of statistical analysis, predictive modeling, and experimentation techniques.
• Familiarity with generative AI, large language models (LLMs), or AI solution deployment.

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com 

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.