At a Glance
- Tasks: Lead AI engineering projects and provide expert consulting in Generative and Agentic AI.
- Company: Join EPAM Systems, a leader in tech innovation and AI solutions.
- Benefits: Enjoy private medical insurance, stock purchase plans, and continuous learning opportunities.
- Other info: Dynamic team culture with excellent career advancement potential.
- Why this job: Make a real impact in the AI field while working in a hybrid environment.
- Qualifications: 6+ years in AI/ML, strong Python skills, and cloud-native architecture knowledge.
The predicted salary is between 70000 - 90000 € per year.
EPAM Systems, Inc. is seeking a Senior AI Engineer & Data Science Consultant to join their team in London. This role is hybrid and involves hands-on engineering leadership combined with technical consulting expertise in Generative AI and Agentic AI solutions.
The ideal candidate will have over 6 years of experience in AI/ML engineering, a strong background in Python, and familiarity with cloud-native architectures.
EPAM offers competitive perks including private medical insurance, employee stock purchase plans, and ongoing learning opportunities.
Senior AI & Data Science Consultant (Hybrid - London) employer: EPAM Systems, Inc.
EPAM Systems, Inc. is an exceptional employer that fosters a dynamic and innovative work culture in the heart of London. With a strong emphasis on employee growth, the company provides extensive learning opportunities and competitive benefits such as private medical insurance and stock purchase plans, making it an ideal place for professionals seeking to advance their careers in AI and data science while enjoying a hybrid work environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI & Data Science Consultant (Hybrid - London)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and Data Science community, especially those at EPAM. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your projects in Generative AI and Agentic AI. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on Python and cloud-native architectures. Mock interviews with friends or using online platforms can help you feel more confident.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior AI & Data Science Consultant (Hybrid - London)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in AI/ML engineering and Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the Senior AI Engineer & Data Science Consultant role and how your background makes you a perfect fit for our team at EPAM.
Showcase Your Technical Skills:Since this role involves hands-on engineering leadership, make sure to mention any specific tools or technologies you’ve worked with, especially in Generative AI and cloud-native architectures. We love seeing practical examples!
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at EPAM Systems, Inc.
✨Know Your AI Stuff
Make sure you brush up on the latest trends in Generative AI and Agentic AI solutions. Be ready to discuss your hands-on experience with AI/ML engineering, especially any projects where you've used Python or cloud-native architectures.
✨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 guide others and make decisions that drive success in AI initiatives.
✨Prepare for Technical Questions
Expect some deep technical questions during the interview. Practice explaining complex concepts in a simple way, and be ready to solve problems on the spot. This will show your expertise and confidence in the field.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that demonstrate your interest in the company and the role. Inquire about their current AI projects or how they envision the future of AI at EPAM. This shows you're not just interested in the job, but also in contributing to their vision.
