At a Glance
- Tasks: Develop and deploy cutting-edge AI applications using advanced techniques and tools.
- Company: Join a forward-thinking tech company focused on generative AI innovation.
- Benefits: Competitive pay, flexible work options, and opportunities for skill development.
- Other info: 1-year contract with potential for extension and exciting career growth.
- Why this job: Be at the forefront of AI technology and make a real difference in the industry.
- Qualifications: Strong Python skills and experience with AI/ML frameworks required.
The predicted salary is between 60000 - 80000 € per year.
Role: GEN AI
Type: 1 year Fixed Term Contract (Chance for Extension)
Core AI/ML Foundations:
- Strong foundational knowledge in GenAI, Machine Learning (ML modeling), Data Science, Statistics, and AI fundamentals, including Natural Language Processing (NLP), Neural Networks, and Large Language Models (LLMs).
Generative AI & LLM Expertise:
- Deep working knowledge and hands-on experience with Retrieval-Augmented Generation (RAG) pipelines, including advanced RAG techniques and their detailed implementation.
- Proven ability to build, tune, and deploy LLM-based applications using platforms like Vertex AI, Hugging Face, etc.
- Hands-on experience with agentic framework-based use case implementation.
- Working knowledge of Guardrails and methodologies for assessing the performance and safety of GenAI features.
Programming & Data Engineering:
- Strong programming proficiency in Python is a must, including extensive experience with libraries such as Pandas, NumPy, scikit-learn, PyTorch, TensorFlow, Transformers, FastAPI, Seaborn, LangChain, and LlamaIndex.
- Proficiency in integrating generative AI with enterprise applications using APIs, knowledge graphs, and orchestration tools.
- Hands-on experience with various vector databases (e.g., PG Vector, Pinecone, Mongo Atlas, Neo4j) for efficient data storage and retrieval.
- Experience in dealing with large amounts of unstructured data and designing solutions for high-throughput processing.
Deployment & MLOps:
- Strong understanding and practical experience with MLOps principles, model evaluation, and establishing robust deployment pipelines.
- Experience with Jenkins, GitLab CI, Azure DevOps, ArgoCD for automated builds, testing, and deployments.
Ai Engineer (Contract) in City of London employer: Ubique Systems
As an AI Engineer at our innovative company, you will thrive in a dynamic work culture that prioritises collaboration and continuous learning. We offer competitive benefits, including flexible working arrangements and opportunities for professional development, ensuring you can grow your skills in the rapidly evolving field of Generative AI. Located in a vibrant tech hub, our team is dedicated to pushing the boundaries of AI technology while fostering a supportive environment where your contributions are valued.
StudySmarter Expert Advice🤫
We think this is how you could land Ai Engineer (Contract) in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and ML community, attend meetups, and join online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving GenAI and LLMs. Use platforms like GitHub to share your code and demonstrate your hands-on experience with tools like TensorFlow and PyTorch.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common AI/ML interview questions and be ready to discuss your experience with RAG pipelines and MLOps principles.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Ai Engineer (Contract) in City of London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with GenAI, ML modelling, and all those fancy libraries like TensorFlow and PyTorch. We want to see how your skills match up with what we're looking for!
Tailor Your Application:Don’t just send a generic application! Tailor your CV and cover letter to reflect the specific requirements of the AI Engineer role. Mention your hands-on experience with RAG pipelines and LLM-based applications to catch our eye.
Be Clear and Concise:Keep your application clear and to the point. Use bullet points where possible to make it easy for us to read through your qualifications and experiences. We love a well-structured application!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into our hands quickly and efficiently. Plus, we can’t wait to hear from you!
How to prepare for a job interview at Ubique Systems
✨Know Your GenAI Inside Out
Make sure you brush up on your foundational knowledge in Generative AI, Machine Learning, and Natural Language Processing. Be ready to discuss specific projects where you've implemented RAG pipelines or deployed LLM-based applications. This will show that you not only understand the theory but also have practical experience.
✨Show Off Your Programming Skills
Since strong programming proficiency in Python is a must, be prepared to demonstrate your skills. You might be asked to solve a coding problem or explain how you've used libraries like Pandas or PyTorch in past projects. Practising common algorithms and data structures can really help you shine.
✨Discuss MLOps Like a Pro
Familiarise yourself with MLOps principles and be ready to talk about your experience with deployment pipelines. Highlight any tools you've used, such as Jenkins or Azure DevOps, and share examples of how you've ensured robust model evaluation and testing in your previous roles.
✨Prepare for Technical Questions
Expect technical questions related to vector databases and handling unstructured data. Brush up on your knowledge of PG Vector, Pinecone, and Mongo Atlas, and think of scenarios where you've designed solutions for high-throughput processing. Being able to articulate your thought process will impress the interviewers.
