Applied ML Scientist, Knowledge & Q&A Systems

Applied ML Scientist, Knowledge & Q&A Systems

Full-Time 60000 - 80000 £ / year (est.) No working from home possible
Gravity Engineering Services Pvt Ltd.

At a Glance

  • Tasks: Develop advanced machine learning models for innovative business applications.
  • Company: Gravity Engineering Services Pvt Ltd, a leader in tech innovation.
  • Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
  • Other info: Be part of a dynamic team driving cutting-edge technology in London.
  • Why this job: Join us to create impactful solutions that enhance user experiences with Alexa.
  • Qualifications: PhD or master's in computer science, plus programming skills in Python and Java or C++.

The predicted salary is between 60000 - 80000 £ per year.

Gravity Engineering Services Pvt Ltd. is seeking an Applied Scientist in London to develop advanced machine learning models for business applications. This role involves utilizing cutting-edge techniques in natural language processing and computer vision to create impactful solutions.

The ideal candidate will have a PhD or equivalent master's degree in computer science, machine learning, or a related field, alongside experience in programming with Python and Java or C++.

Join us to drive innovation and deliver results that matter to Alexa customers.

Applied ML Scientist, Knowledge & Q&A Systems employer: Gravity Engineering Services Pvt Ltd.

Gravity Engineering Services Pvt Ltd. is an exceptional employer that fosters a culture of innovation and collaboration in the heart of London. With a strong commitment to employee growth, we offer continuous learning opportunities and the chance to work on cutting-edge projects that directly impact our customers. Our supportive environment encourages creativity and teamwork, making it a rewarding place for talented individuals to thrive.

Gravity Engineering Services Pvt Ltd.

Contact Details:

Gravity Engineering Services Pvt Ltd. Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Applied ML Scientist, Knowledge & Q&A Systems

Tip Number 1

Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We can’t stress enough how personal connections can open doors for you.

Tip Number 2

Show off your skills! Create a portfolio showcasing your machine learning projects, especially those involving NLP and computer vision. This is your chance to shine and demonstrate what you can bring to the table.

Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. We recommend practicing coding challenges and discussing your past projects to highlight your experience with Python and Java or C++.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.

We think you need these skills to ace Applied ML Scientist, Knowledge & Q&A Systems

Machine Learning
Natural Language Processing
Computer Vision
Python Programming
Java Programming
C++ Programming
PhD or Master's Degree in Computer Science

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your experience in machine learning and programming languages like Python, Java, or C++. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about applied ML and how your background makes you a perfect fit for our team. Keep it engaging and personal – we love to see your personality!

Showcase Your Projects:If you've worked on any cool projects related to natural language processing or computer vision, make sure to mention them! We’re keen to see 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 to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our innovative team!

How to prepare for a job interview at Gravity Engineering Services Pvt Ltd.

Know Your ML Models

Make sure you brush up on the latest machine learning models and techniques, especially those related to natural language processing and computer vision. Be ready to discuss how you've applied these in past projects or how you would approach a specific problem using them.

Showcase Your Programming Skills

Since programming is key for this role, be prepared to demonstrate your proficiency in Python and either Java or C++. You might be asked to solve coding problems on the spot, so practice common algorithms and data structures beforehand.

Prepare for Scenario-Based Questions

Expect questions that ask you to solve real-world problems or case studies. Think about how you would develop a machine learning solution for a business application and be ready to explain your thought process clearly and logically.

Align with Company Values

Research Gravity Engineering Services and understand their mission and values. Be ready to articulate how your skills and experiences align with their goals, particularly in driving innovation and delivering impactful results for customers.