Romania Job Openings

Deloitte

Generative AI Engineer | Deloitte Technology Delivery Center

Cluj-Napoca

FULL TIME

October 8, 2024

General Information

Position

Generative AI Engineer | Deloitte Technology Delivery Center

Work arrangement

Full-time

City

Bucharest, Cluj-Napoca, Iasi, Timisoara

Country

Romania

Department

Deloitte Technology Delivery Center (RO)

Team

Strategy, Analytics and M&A

Area of interest

Data & Analytics

Way of work

Hybrid

Description & Requirements

Who we are looking for

Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Machine Learning, or related field
Strong experience with machine learning frameworks and libraries (e.g., Tensor Flow, Py Torch, Hugging Face, Open AI API)
Proficiency in generative models such as GPT, Gemini, GANs, VAEs, diffusion models, and other transformer-based architectures
Hands-on experience with natural language processing (NLP) and computer vision (CV) techniques
Experience in prompt engineering and fine-tuning models to enhance output
Proficient in Python programming languages
Solid understanding of deep learning algorithms, statistical models, and data engineering principles
Experience working with large datasets and cloud computing (e.g., AWS, Google Cloud, Azure)

Preferred Skills

Knowledge of model deployment (ML Ops), including APIs, containers, and scalability (Kubernetes, Docker, etc.)
Familiarity with ethical AI practices, bias mitigation, and AI fairness
Strong analytical, problem-solving, and communication skills

Your future role

Develop, fine-tune, and implement generative AI models for diverse applications (text, image, audio, and code generation)
Design AI-driven workflows leveraging frameworks like Lang Chain for integrating large language models (LLMs) with external tools, APIs, and data sources
Create and manage chains for prompt orchestration, task automation, and interaction with external systems (APIs, databases, web scraping)
Collaborate with data scientists and machine learning engineers to integrate generative models into production systems
Conduct research and stay updated with the latest advancements in generative AI (GANs, VAEs, diffusion models, etc.)
Design, train, and deploy large language models (LLMs) or multimodal models, optimizing them for specific business applications
Build scalable data pipelines for training, fine-tuning, and deploying generative models in cloud environments (AWS, GCP, Azure)
Generate synthetic datasets for model training and evaluation, improving the model's accuracy and performance
Collaborate with cross-functional teams to understand business needs and deliver AI-driven solutions that align with organizational goals

What we offer

Fast-paced working environment within geographically distributed teams
Greenfield projects! Opportunity to design innovative, modern solutions
Exposure to wide variety of cutting-edge technologies and frameworks
Chance to get involved and drive prototype projects (frameworks, engines, etc.) as part of our Data & Analytics practice
Trainings! We encourage you to attend as many as possible and conduct some to help your colleagues grow while developing your skills

Selection process

We are seeking a Generative AI Specialist/Engineer to join our team and spearhead the development of state-of-the-art AI systems, particularly those based on generative models such as GPT, Gemini, LLa MA, Mistral and other transformer-based architectures. The ideal candidate will have expertise in machine learning (ML), natural language processing (NLP), and computer vision (CV) with a focus on creating AI models that can generate high-quality content.

About Deloitte

Deloitte Technology Delivery Center provides IT technology services to Deloitte Member Firm clients across Europe, the US, the Middle East and Africa. We are part of a strongly integrated global network of Deloitte Delivery Centers. Our methods, breadth and depth in capabilities, and experienced teams uniquely position us to deliver solutions, services and projects that traditionally would have been completed onshore.

We have expertise in multiple capabilities across Business Operations (Systems Delivery & Modernization, Cloud & Engineering, Operations Transformation), Customer & Marketing (Marketing & Commerce, Digital Customer, Digital Foundry & Operations), Enterprise Tech & Performance (SAP, Service Now, Anaplan), Human Capital (HR Transformation, Organizational Transformation), and Strategy, Analytics and M&A (Data Modernization & Analytics, AI Insights and Engagement).

About the team

Our team has more than 250 smart and motivated people that are learning from each other! We think and act as a team to deliver the solutions clients need by designing them in greenfield projects, building proof of concepts, transforming our ideas in technology accelerators, mentoring each other, preparing for certification exams, riding bikes, climbing mountains, celebrating together, sharing our values and technology insights.

We are all passionate about analytics and data, always looking for challenges and thriving to succeed together!

#LI-DNI

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