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For Companies At a Glance
- Tasks: Design, develop, and deploy advanced AI/ML solutions while optimising algorithms.
- Company: Leading technology solutions company focused on innovation.
- Benefits: Full-time permanent contract with competitive salary and growth opportunities.
- Why this job: Join a cutting-edge team and work on exciting NLP and computer vision projects.
- Qualifications: 12+ years of experience in data engineering and strong Python skills required.
- Other info: Based in Waterside, UK, with a dynamic work environment.
The predicted salary is between 54000 - 84000 £ per year.
A technology solutions company seeks a Data Engineer to design, develop, and deploy advanced machine learning and AI solutions. The role involves optimizing algorithms, managing extensive datasets, and working on NLP and computer vision projects.
Ideal candidates should possess 12+ years of experience, strong proficiency in Python, and familiarity with deep learning frameworks. Those with cloud experience and expertise in building microservices are preferred.
This position is based in Waterside, UK, and offers a full-time, permanent contract.
Senior AI/ML Data Engineer — Build & Deploy Models employer: Coforge
Contact Detail:
Coforge Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI/ML Data Engineer — Build & Deploy Models
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI/ML field and let them know you're on the lookout for opportunities. Sometimes, a friendly nudge can lead to a hidden job opening.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving NLP and computer vision. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your Python and deep learning frameworks. Be ready to discuss your experience with algorithms and datasets, as well as any cloud and microservices work you've done.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and experience. Plus, it shows you're serious about joining our team!
We think you need these skills to ace Senior AI/ML Data Engineer — Build & Deploy Models
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI/ML and data engineering. We want to see how your skills align with the role, so don’t be shy about showcasing your Python prowess and any cloud experience you've got!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI/ML and how your background makes you the perfect fit for our team. We love hearing personal stories that connect to the role.
Showcase Relevant Projects: If you've worked on NLP or computer vision projects, make sure to mention them! We’re keen to see examples of your work, so include links or descriptions of projects that demonstrate your expertise in these areas.
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 – just a few clicks and you’re done!
How to prepare for a job interview at Coforge
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and the deep learning frameworks mentioned in the job description. Brush up on your knowledge of NLP and computer vision projects, as these will likely come up during the interview. Being able to discuss specific algorithms you've optimised or models you've deployed will really impress them.
✨Showcase Your Experience
With 12+ years of experience expected, be ready to share detailed examples from your past roles. Highlight your work with extensive datasets and any cloud experience you have. Prepare a couple of stories that demonstrate your problem-solving skills and how you’ve successfully built microservices in previous projects.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s current AI/ML projects and their future direction. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you.
✨Practice Makes Perfect
Conduct mock interviews with a friend or use online platforms to practice common interview questions related to data engineering and machine learning. Focus on articulating your thought process clearly, especially when discussing technical challenges you've faced and how you overcame them.
