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- Tasks: Lead a team to innovate in GenAI and Computer Vision while building ML models.
- Company: Join a forward-thinking company at the forefront of AI technology.
- Benefits: Enjoy competitive pay, remote work options, and a collaborative culture.
- Why this job: Make an impact with cutting-edge projects and work with diverse stakeholders.
- Qualifications: MSc or PhD in STEM/AI, 7+ years in ML Engineering, and Python proficiency required.
- Other info: Hands-on experience in GenAI and Computer Vision is essential.
The predicted salary is between 54000 - 84000 £ per year.
Job Description Staff Machine Learning Engineer Lead a global team of ML engineers to drive innovative GenAI and Computer Vision projects alongside classical ML. Role Lead a small team of 3-4, to design and build models across LLMs, GenAI and NLP with some in Computer Vision and more classical ML Perform code reviews and drive best practice Work alongside technical and non-technical stakeholders, creating insights and reports on key findings Required MSc or PhD in STEM/AI related subject 7+ years of ML Engineering/Software Engineering experience Proficiency in Python Hands-on experience in GenAI and Computer Vision is required Experience working with large data sets and a large user base is essential Excellent communication skills with proven experience working with stakeholders Desired Skills and Experience Computer Vision, Deep Learning, GenAI, LLM #J-18808-Ljbffr
Principal Data Scientist employer: ZipRecruiter
Contact Detail:
ZipRecruiter Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Data Scientist
✨Tip Number 1
Make sure to showcase your leadership experience in machine learning projects. Highlight any instances where you've led teams or mentored junior engineers, as this role requires leading a small team.
✨Tip Number 2
Demonstrate your hands-on experience with GenAI and Computer Vision by discussing specific projects you've worked on. Be prepared to explain the challenges you faced and how you overcame them.
✨Tip Number 3
Since communication is key in this role, think of examples where you've effectively collaborated with both technical and non-technical stakeholders. This will show that you can bridge the gap between different teams.
✨Tip Number 4
Familiarize yourself with the latest trends in LLMs and Deep Learning. Being knowledgeable about current advancements will not only help you in interviews but also demonstrate your passion for the field.
We think you need these skills to ace Principal Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in ML Engineering and Software Engineering, especially focusing on your proficiency in Python and hands-on experience with GenAI and Computer Vision. Use specific examples to demonstrate your skills.
Craft a Compelling Cover Letter: In your cover letter, emphasize your leadership experience and ability to work with both technical and non-technical stakeholders. Discuss your approach to driving innovative projects and how you can contribute to the company's goals.
Showcase Relevant Projects: Include details about specific projects you've worked on that relate to LLMs, GenAI, NLP, and Computer Vision. Highlight your role in these projects and the impact they had on the organization or community.
Prepare for Technical Questions: Be ready to discuss your technical expertise in detail during the interview process. Prepare to explain your methodologies, decision-making processes, and how you handle large data sets and user bases.
How to prepare for a job interview at ZipRecruiter
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with GenAI, Computer Vision, and LLMs in detail. Highlight specific projects you've worked on, the challenges you faced, and how you overcame them. This will demonstrate your hands-on experience and technical proficiency.
✨Emphasize Team Leadership Skills
Since the role involves leading a small team, be ready to share examples of your leadership style. Discuss how you motivate your team, handle conflicts, and ensure best practices in code reviews. This will show that you can effectively manage and inspire a team.
✨Communicate Clearly with Stakeholders
Excellent communication skills are crucial for this position. Prepare to explain complex technical concepts in a way that non-technical stakeholders can understand. Practice articulating your insights and findings clearly and concisely.
✨Prepare for Behavioral Questions
Expect questions that assess your problem-solving abilities and how you work under pressure. Use the STAR method (Situation, Task, Action, Result) to structure your responses, providing concrete examples from your past experiences.
