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- Tasks: Analyse complex datasets and develop predictive models to enhance AI solutions.
- Company: AI71 is an innovative research team focused on responsible AI for knowledge workers.
- Benefits: Enjoy a full-time role with opportunities for collaboration and cutting-edge technology.
- Why this job: Join us to redefine industries and make a transformative impact with AI.
- Qualifications: 5+ years in AI or data science, with a Master's or Ph.D. preferred.
- Other info: Ideal for those with competitive programming accolades and strong analytical skills.
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'll 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
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 technologies, especially in areas like Large Language Models (LLMs) and Generative AI. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the field.
✨Tip Number 2
Engage with the AI community by participating in forums, attending webinars, or joining relevant online groups. Networking with professionals in the industry can provide valuable insights and potentially lead to referrals for positions at StudySmarter.
✨Tip Number 3
Showcase your practical experience by working on personal projects or contributing to open-source initiatives related to machine learning. Having tangible examples of your work can set you apart from other candidates and highlight your hands-on skills.
✨Tip Number 4
Prepare to discuss your past experiences in detail, particularly how you've applied data science to solve real-world problems. Be ready to explain your thought process and the impact of your work, as this will resonate well with our team at StudySmarter.
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 any projects or roles where you've developed predictive models or worked with large datasets.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and how your background aligns with the role. Mention specific experiences that demonstrate your ability to analyse complex datasets and develop algorithms.
Showcase Technical Skills: Clearly list your programming skills, particularly in Python or R, and any experience with machine learning frameworks like TensorFlow or PyTorch. Highlight any familiarity with LLMs or Generative AI technologies.
Prepare for Interviews: Be ready to discuss your previous projects in detail, especially those involving data-driven decision-making and model deployment. Prepare to explain your thought process and how you approach problem-solving in AI contexts.
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. Understand their business objectives and think about how your skills can help achieve those goals. This will show that you can translate technical tasks into actionable insights.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your analytical and problem-solving abilities. Practice explaining your thought process when tackling complex datasets or developing algorithms, as this will highlight your critical thinking skills.
✨Communicate Clearly
Since you'll be working with both technical and non-technical stakeholders, practice explaining your findings in simple terms. Being able to communicate complex ideas clearly will set you apart from other candidates.
