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- Tasks: Design and develop advanced AI solutions using machine learning on large datasets.
- Company: Join Coforge, a leader in innovative tech solutions.
- Benefits: Enjoy a competitive salary, full-time role, and opportunities for growth.
- Why this job: Make an impact by working on cutting-edge AI projects that shape the future.
- Qualifications: 12+ years of experience in data engineering and AI/ML expertise.
- Other info: Collaborative environment with exciting challenges and career advancement.
The predicted salary is between 54000 - 84000 £ per year.
We at Coforge are seeking a highly skilled Data Engineer with the following skill-set:
- Design, develop, and optimize machine learning and deep learning models.
- Work on AI/ML projects including NLP, computer vision, recommendation systems, and generative AI.
- Perform data cleaning, feature engineering, and exploratory data analysis (EDA).
- Build and manage data pipelines and model training workflows.
- Deploy models into production and monitor performance.
- Collaborate with Product, Engineering, and Business teams to translate business problems into AI solutions.
- Conduct model evaluation, A/B testing, and performance tuning.
- Document models, experiments, and technical processes.
Experience: 12+ years
Location: Waterside, UK
Job Type: Permanent (Full time)
Data Engineer in Essex employer: Coforge
Contact Detail:
Coforge Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Essex
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. We can’t stress enough how important it is to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving machine learning and AI. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on technical questions related to data engineering and AI. We recommend practicing coding challenges and discussing your past projects to demonstrate your expertise.
✨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 Data Engineer in Essex
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI, machine learning, and data engineering. We want to see how your skills align with the job description, so don’t be shy about showcasing relevant 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 data engineering and how your background makes you the 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 AI or machine learning projects, make sure to mention them in your application. We’re keen to see real-world examples of your work, especially if they involve large datasets or innovative solutions.
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 awesome team at StudySmarter!
How to prepare for a job interview at Coforge
✨Know Your AI Inside Out
Make sure you brush up on your knowledge of machine learning and artificial intelligence concepts. Be ready to discuss specific projects you've worked on, especially those involving NLP, computer vision, or recommendation systems. This will show that you not only understand the theory but also have practical experience.
✨Showcase Your Data Pipeline Skills
Prepare to talk about your experience with building and managing data pipelines. Have examples ready that demonstrate your ability to clean data, perform feature engineering, and conduct exploratory data analysis. This is crucial for a Data Engineer role, so make it a focal point in your discussion.
✨Collaboration is Key
Since the role involves working cross-functionally, be prepared to share examples of how you've collaborated with product, engineering, and business teams in the past. Highlight any successful projects where your collaboration led to effective AI solutions. This will show that you're a team player who can bridge the gap between technical and non-technical stakeholders.
✨Be Ready for Technical Challenges
Expect some technical questions or challenges during the interview. Practice explaining your thought process when designing and deploying models, as well as how you approach model evaluation and performance tuning. This will demonstrate your problem-solving skills and technical expertise.
