At a Glance
- Tasks: Design and deliver innovative Generative AI solutions that drive real business impact.
- Company: Join EPAM Systems, a leading tech company with a collaborative London team.
- Benefits: Enjoy medical insurance, stock purchase plans, and professional development opportunities.
- Other info: Hybrid work model with a focus on hands-on engineering leadership.
- Why this job: Lead the charge in AI innovation and make a significant impact in the tech world.
- Qualifications: 6+ years in AI/ML, strong Python skills, and experience in building AI solutions.
The predicted salary is between 70000 - 90000 £ per year.
EPAM Systems is seeking a Senior AI Engineer & Data Science Consultant to join our London team in hybrid mode. This position involves designing and delivering Generative and Agentic AI solutions to drive business impact.
The ideal candidate has 6+ years in AI/ML, strong Python skills, and a track record in building AI solutions. The role requires hands-on engineering leadership and expertise in multi-agent systems and advanced RAG pipelines.
We offer various benefits including medical insurance, stock purchase plans, and opportunities for professional development.
Senior AI & Data Scientist - Generative AI Leader (Hybrid) in London employer: EPAM Systems
At EPAM Systems, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. Our commitment to employee growth is evident through our extensive professional development opportunities, alongside competitive benefits such as medical insurance and stock purchase plans, making us an attractive choice for those seeking meaningful and rewarding careers in AI and data science.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI & Data Scientist - Generative AI Leader (Hybrid) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and data science community, especially those at EPAM Systems. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving Generative AI. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your Python skills and understanding multi-agent systems. We recommend practicing common interview questions related to AI/ML to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior AI & Data Scientist - Generative AI Leader (Hybrid) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in AI/ML and Python. We want to see how your skills align with the role, so don’t be shy about showcasing your past projects and achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about Generative AI and how your background makes you the perfect fit for our team. Keep it engaging and personal.
Showcase Your Projects:If you've worked on any relevant AI solutions or multi-agent systems, make sure to mention them! We love seeing real-world applications of your skills, so include links or descriptions of your work.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at EPAM Systems
✨Know Your AI Stuff
Make sure you brush up on your knowledge of Generative AI and multi-agent systems. Be ready to discuss specific projects you've worked on, especially those that showcase your hands-on engineering skills and Python expertise.
✨Showcase Your Leadership Skills
Since this role involves engineering leadership, prepare examples of how you've led teams or projects in the past. Highlight your ability to drive business impact through AI solutions and how you’ve mentored others in the field.
✨Prepare for Technical Questions
Expect some deep dives into technical topics related to AI/ML and RAG pipelines. Brush up on your problem-solving skills and be ready to tackle coding challenges or case studies that demonstrate your analytical thinking.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about their current AI projects, team dynamics, or how they measure success in AI initiatives. This shows you’re genuinely interested and engaged.
