At a Glance
- Tasks: Lead the development of cutting-edge AI solutions and intelligent agents.
- Company: Join a forward-thinking tech company at the forefront of AI innovation.
- Benefits: Attractive salary, flexible working hours, and opportunities for continuous learning.
- Other info: Dynamic work environment with significant career advancement potential.
- Why this job: Be part of a team that shapes the future of AI and machine learning.
- Qualifications: Expertise in Python, ML frameworks, and natural language processing required.
The predicted salary is between 48000 - 72000 £ per year.
Extensive hands-on experience of frameworks and libraries:
- Proficient in scikit-learn and SciPy for ML algorithms
- Hands-on experience within Python with PyTorch and experience in developing enterprise Python applications
- Skilled in natural language processing tasks (entity recognition, tokenization etc)
- Strong knowledge of API/Microservices, Async programming, multithreading, performance, reliability, caching, event-driven design, data pipelines, workflows, queues
- Hands-on with Amazon SageMaker for building, training, and deploying scalable machine learning models in cloud
- Experience of building rapid applications using FastAPI and Streamlit, Matplotlib, seaborn enabling prototyping
- Good understanding of Software Engineering, Architecture, testing, code quality principles and test-driven development (TDD)
Must Have:
- Generative AI & LLMs
- Proficient in context-aware prompts to drive optimal performance from LLMs for summarization, reasoning, extraction, and classification tasks
- Hands-on experience in designing intelligent retrieval pipelines that combine vector databases like FAISS with semantic search mechanisms
- Developed intelligent agents capable of reasoning, planning, and tool use by leveraging frameworks such as ReAct, LangChain/Langgraph
- Experience of clustering techniques and classification models
Agentic AI Lead employer: VALLUM ASSOCIATES LIMITED
As an employer, we pride ourselves on fostering a dynamic and innovative work culture that encourages creativity and collaboration. Located in a vibrant tech hub, we offer our employees extensive growth opportunities through continuous learning and hands-on experience with cutting-edge technologies in AI and machine learning. Our commitment to employee well-being is reflected in our flexible working arrangements and supportive environment, making us an excellent choice for those seeking meaningful and rewarding careers in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Agentic AI Lead
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and machine learning community. Attend meetups, webinars, or even 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 Python, PyTorch, and any generative AI work. Having tangible examples of your expertise can really set you apart during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of frameworks like scikit-learn and SciPy. Practice coding challenges related to ML algorithms and natural language processing tasks to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities that align with your skills. Plus, applying directly can sometimes give you a better chance of getting noticed by hiring managers.
We think you need these skills to ace Agentic AI Lead
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your hands-on experience with the frameworks and libraries mentioned in the job description. We want to see how you've used scikit-learn, PyTorch, and other tools in real projects, so don’t hold back!
Tailor Your Application:Customise your application to reflect the specific skills and experiences that align with the Agentic AI Lead role. Use keywords from the job description to show us you understand what we're looking for.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate a well-structured application that makes it easy for us to see your qualifications without wading through unnecessary fluff.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, we love seeing candidates who follow the process!
How to prepare for a job interview at VALLUM ASSOCIATES LIMITED
✨Know Your Tech Inside Out
Make sure you’re well-versed in the frameworks and libraries mentioned in the job description. Brush up on scikit-learn, SciPy, PyTorch, and Amazon SageMaker. Be ready to discuss your hands-on experience with these tools and how you've applied them in real-world scenarios.
✨Showcase Your Projects
Prepare to talk about specific projects where you've implemented natural language processing tasks or built applications using FastAPI and Streamlit. Highlight your role, the challenges you faced, and how you overcame them. This will demonstrate your practical skills and problem-solving abilities.
✨Understand the Bigger Picture
Familiarise yourself with concepts like API/Microservices, event-driven design, and data pipelines. Be prepared to discuss how these elements fit into the overall architecture of a machine learning application. This shows that you not only know the tech but also understand how it all works together.
✨Prepare for Technical Questions
Expect questions on generative AI, LLMs, and intelligent retrieval pipelines. Think about context-aware prompts and clustering techniques. Practising coding problems or discussing your thought process on these topics can help you feel more confident during the interview.
