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- Tasks: Develop and optimise AI models, collaborating with data scientists and engineers.
- Company: Daxtra is a leader in AI-driven innovation, enhancing business outcomes with intelligent solutions.
- Benefits: Enjoy competitive pay, flexible remote work options, and professional development opportunities.
- Why this job: Join a dynamic team working on cutting-edge AI projects that shape the future.
- Qualifications: Bachelor's or Master's in Computer Science or related field; 3+ years in AI/ML development required.
- Other info: Work with advanced technologies like Generative AI and deep learning frameworks.
The predicted salary is between 36000 - 60000 £ per year.
About Us: Daxtra is at the forefront of AI-driven innovation, leveraging cutting-edge technologies to develop intelligent solutions that enhance business outcomes. We are looking for an AI Engineer to work closely with our AI/ML team, contributing to the development of scalable AI models and applications under the guidance of the Senior AI Manager.
Role Overview: As an AI Engineer, you will be responsible for developing, deploying, and optimizing AI models while collaborating with data scientists and software engineers. You will work with technologies such as deep learning, embeddings, vector search, and Generative AI to build robust AI-powered solutions.
Key Responsibilities:
- Develop and optimize AI/ML models with a focus on Generative AI, embeddings, and vector search.
- Implement deep learning models using frameworks like TensorFlow, PyTorch, or JAX.
- Collaborate with data scientists to integrate AI models into production systems.
- Maintain and enhance AI pipelines, ensuring efficiency and scalability.
- Conduct research on the latest AI advancements and implement innovative solutions.
- Assist in fine-tuning large language models (LLMs) and retrieval-augmented generation (RAG) systems.
- Optimize model performance and work on deployment strategies using cloud-based AI solutions.
- Support MLOps best practices to streamline AI development workflows.
- Stay updated with the latest advancements in machine learning by regularly reviewing academic literature and research papers.
- Capable of translating theoretical insights into practical, real-world solutions.
Required Qualifications:
- Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related field.
- 3+ years of experience in AI/ML development.
- Generative AI experience with Hugging Face, fine-tuning open-source LLMs like Mistral/Llama/Gemma/Phi/Qwen, vLLM, Text Generation Inference, unsloth, LoRA, adapters, DPO, ORPO, hugging face inference endpoints, LlamaIndex.
- Experience with embeddings, vector databases, and deep learning models.
- Hands-on experience with cloud AI services (AWS, GCP, Azure) and developing microservices using FastAPI, Flask, or Django, with expertise in containerized deployment (Docker).
- Knowledge of software engineering principles and best practices for AI integration.
- Strong problem-solving skills and ability to work in a team environment.
Preferred Qualifications:
- Experience working with large-scale AI applications and personalization engines.
- Familiarity with production-scale vector databases (e.g., QDrant, Pinecone, Weaviate).
- Understanding of AI model interpretability and ethical AI considerations.
- Exposure to real-time AI applications and MLOps workflows.
Why Join Us?
- Work alongside industry experts on cutting-edge AI projects.
- Opportunity to grow and advance in a fast-paced, innovative environment.
- Competitive compensation, benefits, and professional development opportunities.
- Flexible work environment with remote-friendly options.
- Join us in shaping the future of AI!
Apply today at https://www.daxtra.com/join-daxtra/
AI Engineer / Data Scientist employer: Daxtra Technologies Ltd
Contact Detail:
Daxtra Technologies Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer / Data Scientist
✨Tip Number 1
Familiarise yourself with the latest advancements in AI and machine learning, especially in Generative AI. This will not only help you during interviews but also demonstrate your passion for the field.
✨Tip Number 2
Engage with the AI community by participating in forums, attending webinars, or contributing to open-source projects. This can help you build connections and showcase your expertise in relevant technologies.
✨Tip Number 3
Prepare to discuss specific projects where you've implemented deep learning models or worked with cloud AI services. Being able to share real-world examples will set you apart from other candidates.
✨Tip Number 4
Stay updated on tools and frameworks like TensorFlow, PyTorch, and Hugging Face. Having hands-on experience with these will not only boost your confidence but also make you a more attractive candidate for the role.
We think you need these skills to ace AI Engineer / Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI/ML development, particularly with Generative AI and deep learning frameworks like TensorFlow or PyTorch. Use specific examples to demonstrate your skills and achievements.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and your understanding of Daxtra's mission. Mention how your background aligns with the role and express your enthusiasm for contributing to their innovative projects.
Showcase Relevant Projects: Include any personal or professional projects that demonstrate your expertise in AI/ML, especially those involving embeddings, vector search, or cloud-based solutions. This will help illustrate your practical experience.
Highlight Continuous Learning: Mention any recent courses, certifications, or research you’ve undertaken related to AI advancements. This shows your commitment to staying updated in the fast-evolving field of AI and your readiness to implement innovative solutions.
How to prepare for a job interview at Daxtra Technologies Ltd
✨Showcase Your Technical Skills
Be prepared to discuss your experience with AI/ML frameworks like TensorFlow, PyTorch, or JAX. Bring examples of projects where you've developed or optimised AI models, especially in Generative AI, to demonstrate your hands-on expertise.
✨Understand the Company’s Focus
Research Daxtra's AI-driven innovations and their applications. Familiarise yourself with their use of embeddings, vector search, and cloud-based solutions. This will help you tailor your responses and show genuine interest in their work.
✨Prepare for Collaborative Scenarios
Since the role involves working closely with data scientists and software engineers, be ready to discuss how you’ve successfully collaborated in past projects. Highlight your teamwork skills and how you integrate feedback into your work.
✨Stay Updated on AI Trends
Demonstrate your commitment to continuous learning by discussing recent advancements in AI that excite you. Mention any relevant research papers or technologies you've explored, showing that you’re proactive about staying informed in this fast-evolving field.
