At a Glance
- Tasks: Lead the development of generative AI models and enhance computer vision applications.
- Company: Join Angel-and-Genie, a forward-thinking tech company in Bangalore.
- Benefits: Attractive salary, health perks, and opportunities for professional growth.
- Other info: Onsite role in a vibrant tech hub with a collaborative team.
- Why this job: Be at the forefront of AI innovation and make a significant impact.
- Qualifications: 5-8 years in AI/ML with strong skills in PyTorch/TensorFlow.
The predicted salary is between 60000 - 80000 £ per year.
Angel-and-Genie is seeking a Senior AI/ML Engineer with 5-8 years of experience, strong skills in AI/ML, and a robust background in computer vision. The role entails working on generative AI and requires expertise in PyTorch/TensorFlow, production ML deployment, and cloud services.
Ideal candidates are passionate about experimenting with new AI models and have a proven record of shipping ML products. This opportunity is onsite in Blore, UK.
Senior Generative AI/ML Engineer (Vision) – Onsite Bangalore employer: Angel-and-Genie
At Angel-and-Genie, we pride ourselves on fostering a dynamic and innovative work culture that encourages creativity and collaboration. As a Senior Generative AI/ML Engineer in our Bangalore office, you will have access to cutting-edge technology and resources, along with ample opportunities for professional growth and development. Our commitment to employee well-being and a supportive environment makes us an exceptional employer for those looking to make a meaningful impact in the field of AI.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Generative AI/ML Engineer (Vision) – Onsite Bangalore
✨Tip Number 1
Network like a pro! Reach out to folks in the AI/ML community, especially those who work at Angel-and-Genie. A friendly chat can sometimes lead to job opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in generative AI and computer vision. This is your chance to demonstrate your expertise in PyTorch/TensorFlow and production ML deployment.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge. Be ready to discuss your past experiences with shipping ML products and how you’ve tackled challenges in your previous roles.
✨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 Generative AI/ML Engineer (Vision) – Onsite Bangalore
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in AI/ML and computer vision. We want to see how your skills align with the role, so don’t be shy about showcasing your projects and achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us 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 cool AI/ML projects, make sure to mention them! We love seeing real-world applications of your skills, especially if they involve PyTorch or TensorFlow.
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 Angel-and-Genie
✨Know Your AI/ML Stuff
Make sure you brush up on your AI and ML knowledge, especially in generative models and computer vision. Be ready to discuss your past projects and how you've used PyTorch or TensorFlow to solve real-world problems.
✨Showcase Your Passion
Angel-and-Genie is looking for someone who loves experimenting with new AI models. Bring examples of your personal projects or any innovative ideas you’ve worked on. This will show your enthusiasm and creativity in the field.
✨Prepare for Technical Questions
Expect some technical questions related to production ML deployment and cloud services. Brush up on your knowledge of deploying models in a cloud environment and be ready to explain your thought process clearly.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team’s current projects or the company’s vision for AI/ML. This shows your interest in the role and helps you gauge if it’s the right fit for you.
