Lead Machine Learning Engineer

Capgemini
Charing Cross, United Kingdom
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Remote
Charing Cross, United Kingdom

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Azure
Code Review
Data Cleansing
Python
Machine Learning
Scripting (Bash/Python/Go/Ruby)
Feature Engineering
PyTorch
Large Language Models
Prompt Engineering
Generative AI
Keras
GIT
Information Technology
HuggingFace
Machine Learning Operations
Api Design
Artificial Intelligence Markup Language (AIML)
Software Version Control
Docker

Job description

We are looking for a skilled Generative AI Developer to join our Controls Technology team and contribute to the development and integration of innovative generative AI solutions In this role youll work closely with senior developers AI architects and business stakeholders to deliver impactful AIdriven features and products. Hybrid working: The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time. Your Role:

  • Implement and finetune generative AI models under the guidance of senior team members
  • Contribute to prompt engineering and development of Ai powered workflows
  • Assist with the deployment monitoring and maintenance of AI models in production environments
  • Collaborate with data scientists and engineers to ensure seamless integration of AI capabilities
  • Perform data preprocessing feature engineering and API development for AI applications
  • Participate in code reviews testing and documentation to ensure quality and reliability
  • Stay updated with advancements in GenAI and share relevant learnings with the team

Requirements

Do you have a Master's degree?, * Handson experience with at least one major machine learning framework PyTorch TensorFlow Keras

  • Familiarity with LLMs prompt engineering and finetuning e.g. LoRA QLoRA
  • Exposure to RAG systems and basic knowledge of hybrid search techniques
  • Understanding of model deployment and containerization Docker
  • Proficiency in Python for AI development data preprocessing and scripting
  • Experience with generative AI tools LangChain Hugging Face LlamaIndex is a plus
  • Understanding of version control systems Git
  • Awareness of AI compliance data privacy and responsible AI principles

Required Soft Skills Strong teamwork and communication abilities

  • Willingness to learn new AIML technologies and frameworks

  • Analytical mindset and attention to detail

  • Openness to feedback and continuous improvement *, bachelor's degree or master's degree in computer science data science AI or a related field

  • 3to5 years of professional experience in AIML development with exposure to Generative AI

  • Experience delivering AIML projects in a collaborative setting

  • Exposure to cloud based AIML environments AWS GCP or Azure is a plus

About the company

Capgemini ist einer der weltweit führenden Anbieter von Management- und IT-Beratung, Technologie-Services und Digitaler Transformation. Als ein Wegbereiter für Innovation unterstützt das Unternehmen seine Kunden bei deren komplexen Herausforderungen rund um Cloud, Digital und Plattformen.

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