At a Glance
- Tasks: Join our team to enhance data operations and work with cutting-edge AI models.
- Company: ConnexAI, a leader in language technology and AI innovation.
- Benefits: Collaborative culture, exposure to global projects, and opportunities for growth.
- Other info: Dynamic environment with hands-on experience in data operations.
- Why this job: Make a real impact on the future of voice and language technology.
- Qualifications: Degree in a quantitative field and strong Python skills required.
The predicted salary is between 35000 - 45000 £ per year.
At Connex AI, we’re building the future of language technology.
As one of the leading global AI data teams, we work at the intersection of artificial intelligence, linguistics, and human insight.
Our global clients rely on us to deliver top-tier datasets for Automatic Speech Recognition (ASR), Text-to-Speech (TTS), and Large Language Models (LLMs).
We’re a trusted data partner for model development, and our projects cover multiple languages and cultures.
Our cutting‑edge approaches and AI have helped hundreds of businesses worldwide enhance their customer engagement.
Connex AI is committed to innovation, creativity, and growth, which is why we attract and develop the best talent.
Join us in shaping the future of customer experience.
The Role
We’re looking for committed, detail‑oriented individuals to join our growing team in Data Operations.
You'll work on‑site (Monday to Friday) at our Manchesteroffice, maintaining high standards of data security and confidentiality.
As a Data Ops Engineer, you will
- Work with Data Engineers, Data Scientists and Data Annotators to improve our Data Operations processes
- Work with and experiment using in‑house AI models to label large quantities of in‑house and external data for downstream human‑in‑the‑loop Data Annotation operations and model training
- Work on perfecting pipelines for processing raw data into valuable datasets
- Implement research into solutions focused on efficient data management and storage
- Help build an accessible platform for Data Science to utilise this data for model training
- What We’re Looking For
- Batchelors/Masters Degree in Mathematics, Physics, Statistics, Computer Science, or a similarly quantitative field
- Strong Python skills with experience using libraries such as pandas, Num Py
- Experience working with data science, experimentation, statistical analysis, or machine learning systems is preferable
- Willing to take a hands‑on approach to Data Operations, including annotation and quality review tasks as needed.
- Experience working with Databases.
- Comfortable working with high security data, including production environments
Why Connex AI?
- Work on meaningful AI projects that power the next generation of voice and language technology.
- Be part of a collaborative, expert‑led team with a strong culture of learning and growth.
- Enjoy the buzz of working in an innovative, truly global AI company.
- Gain exposure to cutting‑edge AI development across our products.
- #J-18808-Ljbffr
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Manchester
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like ConnexAI!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Engineer at ConnexAI.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like ConnexAI.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at ConnexAI, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Engineer in Manchester
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at ConnexAI, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at ConnexAI. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at ConnexAI
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at ConnexAI!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
