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Details of the offer

Infosys Consulting, a division of the Infosys Group, is a global advisor specializing in strategy, process engineering, and technology transformation. They work closely with clients to develop and implement tailored solutions for business challenges in a post-modern ERP landscape. Their innovative, human-centric approach leverages the latest technologies to create sustainable, lasting business value.
In this role you can expect to have the responsibilities:
Design, develop, and implement machine learning models and algorithms. Utilize Python for data analysis and model deployment. Apply deep learning techniques for advanced predictive analytics. Implement ML Ops best practices for reliable model deployment. Collaborate with data engineers and analysts to gather requirements. Monitor and maintain deployed models for performance and accuracy. Conduct exploratory data analysis and visualize findings. Stay updated with the latest advancements in machine learning. Document methodologies and model performance. This role comes with the following benefits:
Opportunities in a growing consulting organization. Best practice solutions delivery and skill development. Global culture embracing diversity at all levels. Highly dedicated and motivated colleagues. Cooperative work environment. Interesting training opportunities. This role requires you to have:
Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field. Proven experience as a Data Scientist or Machine Learning Engineer. Strong proficiency in Python and its libraries. Experience with ML Ops tools and frameworks. Understanding of deep learning architectures. Familiarity with cloud platforms and their machine learning services. Strong problem-solving skills with complex datasets. Excellent communication skills. Experience with version control systems. You would benefit from having:
Experience in the financial services, telco, or retail domains. Familiarity with big data technologies. Experience with natural language processing and computer vision. Knowledge of statistical analysis and data visualization tools. #J-18808-Ljbffr


Nominal Salary: To be agreed

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