Project Role : Full Stack Engineer
Project Role Description : Responsible for developing and/or engineering the end-to-end features of a system, from user experience to backend code. Use development skills to deliver innovative solutions that help our clients improve the services they provide. Leverage new technologies that can be applied to solve challenging business problems with a cloud first and agile mindset.
Must have skills : Machine Learning
Good to have skills : Cloud Infrastructure, Gen AI
Minimum 5 year(s) of experience is required
Educational Qualification : 15 Years of full time education

Machine Learning Engineer Job Description A Machine Learning Engineer is a professional who is skilled and specializes in designing and developing machine learning systems, possess expertise in statistics, programming, and data science. The role involves creating efficient self-learning applications and contributing to advancements in artificial intelligence. Qualifications: • Strong programming skills (Python, R, or similar languages). • Knowledge of data science concepts, including feature engineering, model evaluation, and validation. • Expertise in statistics and understanding of machine learning algorithms. • Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch). • Experience with cloud platforms (AWS, Google Cloud, Azure) for model deployment. • Ability to work collaboratively in cross-functional teams. Responsibilities: ? Study and Transform Data Science Prototypes: Work with data to create models, perform statistical analysis, and train and retrain systems to optimize performance. Explore and preprocess data, ensuring it’s suitable for machine learning tasks. Design Machine Learning Systems: Design and construct sophisticated machine learning models. Choose appropriate algorithms and architectures based on the problem domain and data characteristics. ? Research and Implement ML Algorithms and Tools: Staying updated with the latest developments in the field, they explore new algorithms and tools. Implement machine learning algorithms, adapting them to specific use cases. Develop Machine Learning Applications: Build applications that leverage machine learning models. Collaborate with software engineers to integrate ML components into larger systems. Deploy and Maintain Machine Learning Models Ensure scalability and reliability, they deploy models in cloud platforms such as AWS. Regular performance evaluations, identifying bottlenecks, and implementing optimization strategies. Passionate about pushing the boundaries of AI technology and creating innovative self-learning applications, consider joining our team as a Machine Learning Engineer!

15 Years of full time education

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 750,000 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. We are uniquely able to deliver tangible outcomes because of our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song. These capabilities, 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

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