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- Tasks: Analyse complex datasets and develop predictive models to enhance AI solutions.
- Company: AI71 is a pioneering research team focused on responsible AI for knowledge workers.
- Benefits: Enjoy a full-time role with opportunities for professional growth and collaboration with industry leaders.
- Why this job: Join us to redefine industries and make a transformative impact through cutting-edge AI technologies.
- Qualifications: 5+ years in AI or data science, with a Master's or Ph.D. preferred; strong programming skills required.
- Other info: Ideal for candidates with accolades in competitive programming and machine learning competitions.
The predicted salary is between 48000 - 84000 £ per year.
AI71 is an applied research team dedicated to creating helpful and responsible AI agents for knowledge workers. Working closely with our industry partners, our cross-functional teams of AI experts build products grounded in the cutting edge research of our colleagues from the Technology Innovation Institute (TII).
Are you a seasoned ML &/OR Data Scientist with a passion for AI and a track record of harnessing the power of data, developing algorithms and models to extract valuable insights, and helping us fuel the intelligence of our AI solutions? As our Data Scientist at AI71, you will play a critical role in shaping and delivering cutting-edge solutions that redefine industries and create transformative impact.
What You’ll Do:
- Analyze large and complex datasets to extract meaningful insights and inform data-driven decision-making.
- Develop, train, and deploy predictive models to enhance the capabilities of our AI solutions.
- Work on and apply cutting-edge AI technologies to business contexts, e.g. Large Language Model (LLM) or Retrieval-Augmented Generation (RAG).
- Collaborate with cross-functional teams to understand business objectives and translate them into actionable data science tasks.
- Continuously evaluate and improve existing models based on real-world performance and evolving business needs.
- Implement and maintain data preprocessing pipelines to ensure the quality and reliability of input data.
- Stay abreast of advancements in machine learning and data science techniques, applying them to improve model accuracy.
- Communicate findings and insights effectively to both technical and non-technical stakeholders.
What You’ll Bring:
- 5+ years of experience in AI, Machine Learning, RL, data science or a related field.
- Familiarity and proven experience in using LLMs/ fine-tuning LLMs.
- Master's or Ph.D. in AI, Data Science, Statistics, Computer Science, or a related field.
- Proficient in programming languages such as Python or R.
- Candidates with awards in ACM/ICPC, NOI/IOI, Top Coder, Kaggle and other competitions are preferred.
- Strong analytical and statistical modeling skills.
- Experience with machine learning (Generative AI) frameworks (e.g., scikit-learn, TensorFlow, PyTorch, Langchain, Weaviate, Langgraph, LlamaIndex).
- Proven track record of applying data science to solve real-world problems.
- Excellent communication and collaboration skills.
Why AI71:
- Proven performance of our large language models.
- Strong traction and adoption from the open-source community.
- Secured proprietary data to build specialized distinctive models.
- Locked large compute power to support our roadmap.
- Signed anchor clients, to develop POCs and demonstrate our solutions.
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Information Technology
Industries: Technology, Information and Internet
Machine Learning Engineers - GenAI [UAE Based] employer: AI71
Contact Detail:
AI71 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineers - GenAI [UAE Based]
✨Tip Number 1
Familiarise yourself with the latest advancements in machine learning and AI, particularly in Generative AI. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Showcase your experience with LLMs and relevant frameworks like TensorFlow or PyTorch through personal projects or contributions to open-source. This practical demonstration of your skills can set you apart from other candidates.
✨Tip Number 3
Network with professionals in the AI and machine learning community, especially those who have experience in the UAE market. Attend meetups or webinars to connect with potential colleagues and learn about industry trends.
✨Tip Number 4
Prepare to discuss real-world applications of your work in data science. Be ready to share specific examples of how you've used data to drive decision-making and improve model performance in previous roles.
We think you need these skills to ace Machine Learning Engineers - GenAI [UAE Based]
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning, data science, and AI technologies. Emphasise your familiarity with LLMs and any awards or recognitions you've received in competitions.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and your track record in developing algorithms and models. Mention specific projects or experiences that align with the responsibilities outlined in the job description.
Showcase Technical Skills: In your application, clearly list your programming skills, particularly in Python or R, and any experience with machine learning frameworks like TensorFlow or PyTorch. This will demonstrate your technical proficiency to the hiring team.
Highlight Collaboration Experience: Since the role involves working with cross-functional teams, include examples of past collaborations where you translated business objectives into actionable data science tasks. This will show your ability to communicate effectively with both technical and non-technical stakeholders.
How to prepare for a job interview at AI71
✨Showcase Your Technical Skills
Be prepared to discuss your experience with machine learning frameworks like TensorFlow or PyTorch. Bring examples of projects where you've developed and deployed predictive models, as this will demonstrate your hands-on expertise.
✨Understand the Business Context
Research AI71 and its industry partners before the interview. Be ready to explain how your data science skills can directly contribute to their business objectives and the specific challenges they face in the AI landscape.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. Since you'll be communicating with both technical and non-technical stakeholders, being able to convey your findings effectively is crucial.
✨Stay Updated on Trends
Familiarise yourself with the latest advancements in machine learning and generative AI. Mention any recent developments or techniques you've applied in your work, showing that you're proactive about staying current in the field.
