Mid Machine Learning Engineer

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Machine Learning EngineerData

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Quick Summary

Overview

Accenture Technology powers our clients to achieve high performance. We combine business and industry insights with innovative technology to drive growth for your business.

Technical Tools

Machine Learning EngineerData

Requirements

~1 min read

Minimum of 3 years of experience in Machine Learning model development, deployment, and optimization
Expertise in applying Machine Learning techniques to solve complex business problems
Experience with SQL and database management concepts
Knowledge of Foundation Models and Large Language Models (LLMs)
Experience with LLM Orchestration frameworks and AI application development
Hands-on experience with Python and Machine Learning libraries
Understanding of MLOps, model deployment, and production monitoring
Experience working with large-scale datasets and data preprocessing techniques
Knowledge of cloud-based AI and Machine Learning services
Ability to work independently while collaborating effectively with multidisciplinary teams
Fluent in English (C1 or above)

Responsibilities

~1 min read

→Design, develop, and implement Machine Learning and Artificial Intelligence solutions that generate measurable business outcomes
→Build, train, evaluate, and optimize predictive models and AI-driven applications
→Leverage cloud-based AI services to accelerate solution development and deployment
→Develop scalable data pipelines to support model training, inference, and production environments
→Apply DevOps and MLOps principles to automate model deployment, monitoring, and lifecycle management
→Customize and implement Foundation Models, LLMs, and Generative AI solutions according to business requirements
→Evaluate the performance, quality, and business value of AI solutions and provide recommendations for continuous improvement
→Conduct research into emerging AI technologies, algorithms, and methodologies
→Analyze large datasets to identify patterns, trends, and opportunities to improve model accuracy and effectiveness
→Implement efficient data storage, retrieval, and knowledge management mechanisms
→Collaborate with Data Engineers, Data Scientists, Product Owners, and business stakeholders to deliver scalable AI solutions
→Communicate technical findings and recommendations clearly to both technical and non-technical audiences
→Contribute to technical discussions and provide innovative solutions to complex challenges

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

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