At a Glance
- Tasks: Design and maintain data pipelines for cutting-edge Generative AI models.
- Company: Join a forward-thinking tech company in the UAE's Generative AI space.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on creativity and career advancement.
- Why this job: Be at the forefront of AI innovation and make a real impact with your skills.
- Qualifications: Degree in Computer Science or related field; experience with data pipelines and big data technologies.
The predicted salary is between 60000 - 80000 £ per year.
We are seeking a skilled Data Engineer to join our Generative AI team. You will play a critical role in designing, building, and maintaining robust data pipelines and infrastructure to support the development, training, and deployment of cutting-edge Generative AI models. This role requires a blend of technical expertise, problem-solving skills, and a passion for working with data at scale.
Key Responsibilities
- Data Infrastructure Development: Design, implement, and maintain scalable data pipelines and ETL processes to support Generative AI applications.
- Data Preparation: Collaborate with AI researchers and data scientists to preprocess, clean, and transform large datasets for training and evaluation of AI models.
- Model Integration: Support the deployment and monitoring of Generative AI models, ensuring efficient data flow and integration with production systems.
- Database Management: Optimize and manage data storage solutions, ensuring high availability, security, and performance.
- Automation: Develop tools and scripts to automate data workflows, monitoring, and reporting processes.
- Collaboration: Work closely with cross-functional teams, including AI researchers, software engineers, and product managers, to meet project goals.
- Data Governance: Ensure compliance with data privacy and security regulations, and implement best practices for data quality and lineage.
Qualifications
Must-Have:
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
- Proven experience in building and maintaining large-scale data pipelines and infrastructure.
- Proficiency in programming languages such as Python, Scala, or Java.
- Hands-on experience with big data technologies (e.g., Hadoop, Spark, Kafka).
- Strong knowledge of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB).
- Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and data-related services (e.g., S3, Redshift, BigQuery).
- Understanding of Generative AI concepts and familiarity with frameworks like TensorFlow, PyTorch, or Hugging Face.
Nice-to-Have:
- Experience working with unstructured data (e.g., text, images, audio) for AI applications.
- Knowledge of MLOps practices and tools (e.g., MLflow, Kubeflow, Docker).
- Familiarity with version control systems (e.g., Git) and CI/CD pipelines.
- Experience with real-time data processing and streaming technologies.
- Contributions to open-source projects in AI or data engineering.
Data Engineer GenAI employer: AI71
Join our innovative team in the UAE as a Data Engineer, where you'll be at the forefront of developing cutting-edge Generative AI solutions. We pride ourselves on fostering a collaborative work culture that encourages continuous learning and professional growth, offering unique opportunities to work with advanced technologies and cross-functional teams. With a strong commitment to employee well-being and a focus on data governance, we provide a supportive environment that empowers you to make a meaningful impact in the field of AI.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer GenAI
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines, projects, or any cool AI models you've worked on. 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 Generative AI. Practice explaining your past projects and how you tackled challenges – confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications come directly from passionate candidates like you. Plus, it shows you're genuinely interested in joining our team.
We think you need these skills to ace Data Engineer GenAI
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with data pipelines and big data technologies. 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! Share your passion for Generative AI and explain why you’re excited about this role. We love seeing enthusiasm and a personal touch in applications.
Showcase Your Technical Skills:Be specific about your programming languages and tools. If you've worked with Python, Spark, or cloud platforms, let us know! We’re looking for those hands-on experiences that make you stand out.
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 you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at AI71
✨Know Your Data Tools
Make sure you brush up on your knowledge of big data technologies like Hadoop, Spark, and Kafka. Be ready to discuss how you've used these tools in past projects, as well as any challenges you faced and how you overcame them.
✨Showcase Your Programming Skills
Since proficiency in programming languages like Python, Scala, or Java is a must-have, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice coding challenges related to data engineering.
✨Understand Generative AI Concepts
Familiarise yourself with Generative AI frameworks such as TensorFlow and PyTorch. Be prepared to discuss how you would approach data preparation for training AI models, as this will show your understanding of the role's requirements.
✨Collaboration is Key
This role involves working closely with cross-functional teams, so be ready to share examples of how you've successfully collaborated with others in the past. Highlight your communication skills and how you ensure everyone is on the same page during projects.
