AI Engineer @ Tangent

1 week ago

Poznań, Czech Republic Tangent Full time
What we are looking for 
  • Solid development and data science skills
  • Proficiency in Python with PyTorch or Tensorflow, Pandas, NumPy
  • Experience in building services using Flask, or similar server-side frameworks.
  • A strong understanding of Docker and one of Azure / AWS / GCP cloud technologies.
  • Rapid prototyping skills
  • Algorithmic and heuristic problem-solving skills
  • Knowledge of semantic data models in different domains would be beneficial
  • Fluent in spoken and written English
Bonus points, if you have  
  • Hands-on experience in AI development for business
  • NLP knowledge
  • Knowledge of Computer Vision problems
  • Experience with tools and paradigms like: CI/CD, GitHub Actions, Jenkins, JIRA, MLflow, ClearML, Amazon SageMaker
  • Experience with Transformers Architecture, LoRA, QLoRA or other PEFT techniques
About Tangent  

At Tangent, we partner with large enterprises from IWG plc to SAP & UK Power Networks, helping them to build future-ready digital experiences, products, and capabilities. 

Tangent approaches AI in a pragmatic way, focusing on delivering tangible benefits to our clients. We harness the latest advancements in Machine Learning (ML) to tackle real-world business challenges.  

As a 100-strong agency, we excel across a wide range of disciplines including strategy, consultancy, design, engineering, and project management. Our global presence spans offices in London, Valencia, Cape Town, Lahore, Poznan, and Cairo. 

Life at Tangent 

What we believe  

At Tangent we understand people - designing user-centric products and creating high-performing teams.  

We are truly committed to protecting our most important asset, the planet. Always seeking to improve our digital footprint and lower carbon emissions.  

We make decisions with a purpose in mind. Producing work that is measurable, considered and will drive clients’ businesses forward.  

Our strategy is underpinned by our 4 core values:  

  • Always ask questions
  • Listen more than speak
  • Own your area
  • Strive for better
What we offer 

Tangent is not only a fun place to work but also provides a platform for you to grow.  

100% remote working  
We understand life is about balance, that’s why we provide the flexibility you need to work in a way that suits you best. You are welcome to work 100% remotely or hybrid from our Poznań office.  

Enhanced holiday  
After two years of service, earn an extra day off each subsequent year, accumulating up to a maximum of 3 additional days. Embrace a well-deserved moment of rest or check something off your life bucket list- it’s totally up to you  

Growth and training  
We provide continuous opportunities for improvement and career development. From specific training or qualifications to event attendance, we encourage our teams to stay curious, nurture their skills and reach their ambitions.  

At Tangent our aim is to create a working environment where every single member of the team has the opportunity to be themselves. We are an equal opportunities employer and will welcome and consider all applications regardless of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion, sex and sexual orientation. 

,[Working on AI projects for our clients, develop solutions based on AI models and services (closed or open source), , Using LLMs, speech-2-text, text-2-speech, NLP solutions to deliver business value, , Researching and experimenting with latest approaches from the LLM landscape, , Use generative AI to support delivery, write technical and user facing documentation, , Using LLMs and Computer Vision to analyse documents and to turn them into structured data, , Working with non-technical people (business stakeholders, domain experts) to help them understand AI's potential and limitations and to build tailored solutions based on domain knowledge. , Using, modifying and expanding MLOps pipelines, using end-to-end pipelines to train and/or finetune LLM models (from design through development to operations), including but not limited to: , Designing, experimenting with, developing and testing LLM, machine learning and deep learning systems , Preparing datasets and training procedures , Building, configuring, deploying and monitoring ML solutions on production environments hosted in the Cloud , Monitoring and improving performance of AI based solutions .] Requirements: Python, pandas, PyTorch, NumPy, Flask, Docker, Azure, Prototyping, Data models, Data science, NLP, AWS, Computer vision, GitHub, Jenkins, Jira, GCP, MLflow, ClearML, LoRA, CI/CD Tools: . Additionally: Training budget, Small teams, International projects, Enhanced holiday, Flat structure.

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