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Machine Learning Engineer

●

1 month ago

Greece, Attiki, Athens
Full Time
Mid-Level
Hybrid

Basic Information

 Are you ready to be a part of the digital reinvention of industry and revolutionize your career?

In today’s world, business leaders want to rapidly and confidently reinvent to increase resilience, mitigate risk, and grow with sustainable value.

That’s where Accenture Strategy & Consulting comes in. We bring together strategic visionaries, industry experts, practitioners from across every enterprise function, business intelligence professionals, change specialists, data and AI authorities, and many other specialized skills to co-create each client’s unique path to reinvention. You will be a trusted partner to business leaders, working with a diverse team of experts to deliver successful tech-enabled transformation and new kinds of value for your clients.

Strategy and Consulting is one of four services –the others are Accenture Song, Technology and Operations.

WORK YOU’LL DO

As part of Accenture Data & AI practice, specialized in AI (our general term for deep learning, NLP, computer vision, chatbots, VA and robotics), you will be responsible for building and deploying new AI solutions for Accenture’s clients to improve various business outcomes and drive innovation. The opportunities to make a difference within exciting client initiatives are unlimited in the ever-changing technology landscape. You will also be part of a growing network of technology experts who are highly collaborative taking on today’s biggest, most complex business challenges. 

Responsibilities

 
  • Develop, test and deploy Generative & Agentic AI applications, including agent-based workflows.
  • Implement Retrieval-Augmented Generation (RAG) pipelines, agentic workflows, drive prompting strategies (e.g., few-shot, chain-of-thought), fine-tuning and interact with both open-source & general-purpose AI systems.
  • Collaborate with other AI engineers and software developers to deploy AI models into cloud environments (AWS, GCP, Azure).
  • Work with Data & AI Architects to create solid architecture of AI products.
  • Optimize AI application for performance and accuracy.
  • Coach and mentor Junior AI engineers to develop multiple components of the AI applications.
 

Requirements

Machine Learning
 WHO WE´RE LOOKING FOR?

  • B. Sc. and MSc. or PhD in Computer Science, Engineering, or related fields
  • Minimum 2 years of hands-on programming experience in the field of AI, NLP, Machine Learning, Deep Learning, and related disciplines
  • Demonstrated proficiency in multiple programming languages such as Python, Java, or C++
  • Experience working with Generative AI, Transformers, Deep Learning, Large Language Models (LLMs) as GPT, Bard or LLaMA, Image generative AI systems as DALL-E, Stable Diffusion or MidJourney
  • Experience with core Deep Learning & Generative AI principles, including fine-tuning, prompt-engineering, interacting with both open-source & general-purpose AI systems. Familiarization with computing infrastructure (i.e. GPU systems for training optimization) will be considered a plus
  • Knowledge of architecting/operating solutions built on the core technologies underlying LLMs and Generative AI applications (open-source, Azure Open AI, Amazon BedRock…)
  • Experience working with RESTful API and general microservice-oriented architectures.
  • Demonstrated commitment to learn about AI and continuously stay up-to-date on technology trends, through your own initiatives, online courses, competitions, or side projects

PREFERRED QUALIFICATIONS
  • Ability to think creatively to solve real world business problems
  • Ability to work in a global collaborative team environment
  • Familiarity with relational and NoSQL databases 
  • Familiarity with cloud services related to AI/ML
  • Experience leading a team of Data/AI engineers in real-world environments and integrating AI/ML and other services into large-scale production applications
 

Benefits

Remote work options
  • Competitive benefits, including a fair and balanced parental leave policy.
  • At Accenture, we believe in bringing the best to our clients through continuous learning & improvement – from basic skills to industry-specific content – available to all our people.
  • Career coaching and mentorship to help you manage your career and develop professionally.
  • Performance Achievement – our performance management process that focuses on your strengths, progress and career possibilities.
  • Fantastic opportunities to develop your career across a variety of clients.
  • Opportunities to get involved in corporate citizenship initiatives, from volunteering to doing charity work.
 
About the company

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About the company

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Accenture

Accenture

Engineering
AI Engineer