AI Engineer
Join a team of superheroes! 👊
Teamtailor is an Employer Branding & ATS SaaS platform used by over 3,000 companies 🤩 and 110,000 users🕺🏻 in 90 countries around the world 🌏. Working at Teamtailor means being part of a young, international, and fast-paced tech startup with smart people who are passionate about their work. You can read more about our product at teamtailor.com or check out some live examples: Daniel Wellington, SOS Alarm, and Eloomi. Yes, everything you see there is our product and yes, it's amazing.
We value your personality and passion 🔥
For us, personality and passion come before education. You’ll always be supported and looked after by your Teamtailor family, but you will also have a lot of responsibility for your own work, meaning that working independently isn’t something you mind.
Responsibilities of an AI Engineer
As an AI Engineer, you will be part of our dynamic tech team, bringing innovative ideas and expertise to create cutting-edge artificial intelligence solutions. You will be responsible for:
- Designing, developing, and deploying AI models and algorithms.
- Collaborating with cross-functional teams to integrate AI technology into existing systems.
- Evaluating and improving the performance of AI systems.
- Conducting research to advance the capabilities of AI technologies.
- Maintaining detailed documentation of AI processes and results.
Essential AI Engineer Skills
Our ideal candidate will have a diverse set of technical skills and a passion for AI. Key skills include:
- Strong proficiency in programming languages such as Python or R.
- Experience with machine learning frameworks such as TensorFlow, PyTorch, or Keras.
- Knowledge of natural language processing, computer vision, and other AI-related fields.
- Proficiency in data analysis and data manipulation tools.
- Excellent problem-solving abilities and analytical skills.
AI Engineer Experience and Qualifications
To be successful in this role, you should have the following qualifications:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Proven experience working with AI and machine learning technologies.
- Previous experience in a tech startup environment is a plus.
- Strong communication skills and ability to work in a team-driven environment.
What We Offer to AI Engineers
At Teamtailor, we believe in rewarding hard work and commitment. As an AI Engineer, you will be offered:
- Competitive salary and performance-based bonuses 💰
- Development opportunities 💼
- Paid vacation days 🏖
- Yearly company trip to a secret summer destination 🌊
- Tons of events and parties 🎉
- Weekly competitions and awards 🏆
- Friday Breakfast 🥗
- Starter Kit (Macbook, iPhone, Teamtailor bag, t-shirt, sweater & hoodie 🎁)
- Cool and modern open floor office 🏡
PS. If we collectively reach our weekly goals, we also get PIZZA FRIDAY 🍕
Requirements to Join Our AI Engineering Team
You are a perfect match if you...
- Have strong proficiency in both English and another language (optional)
- Have at least 2 years of experience in AI or machine learning roles
- Can demonstrate successful AI projects or implementations.
- Have the ability to work independently and as part of a team.
- Keep high activity and motivate yourself.
- Have a positive, can-do attitude.
If this sounds like you, then what are you waiting for?
- Department
- Marketing & PR
- Role
- Communications
- Locations
- Barcelona
Barcelona
Our Perks & Benefits
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🏄🏻♀️ 30 days paid vacation
We value that you get more time with your family and friends. Therefore we offer everybody 30 days paid vacation. -
🕐 Flexible working hours
We value work-life balance highly, therefore we have flexible working hours. -
🥯 Breakfast at work
Every day we got breakfast at work. We want to make sure our colleagues have the energy to do their work properly. -
Regular social & team events 🕺
Once a quarter we celebrate our successes as a team.
Workplace, Culture & Diversity
Corporate culture is essential to allow the organization to differentiate itself. In terms of image on the one hand, it has strengths both internally and externally to consumers. It is indeed a source of cohesion and motivation of employees and it limits conflicts. With customers, it conveys a positive image and can develop a feeling of closeness to the company or even become a criterion of choice.