Machine Learning Enginner - Berlin, Deutschland - Technology & Strategy

Beschreibung

Do you want to know more about us?

Of course we can tell you the story of our company and our areas of expertise But in the end,the most important thing is what your future T&S colleagues think about T&S.

What they like best :

Flexibility - Of course you get flexible working hours, home-office facilities and 30 days' holiday a year, but there is more to it than that. It is also the benefits that consulting brings. At T&S, whether you are a junior or an experienced consultant, you can move quickly through different projects, develop your skills and accelerate your career.

Projects - You will work in a stimulating environment. You will be in contact with experts and be at the heart of innovations. You can work in different industries or become an expert in a particular field. You can take advantage of paid training, certifications and language courses (English and German)

Atmosphere - You will be with international and multi-cultural teams. Whether it is a Potluck, Karaoke, Karting, Oktoberfest or Summer and Winter parties, we want to have a good time with you. Having fun at work is important It is a great way to bond and get to know each other better (but of course it is never an obligation).

In more formal terms, we are a consulting firm specializing in engineering, IT and digital project management. We are an international company with a Franco-German DNA. Our 3,500 employees are of 45 different nationalities and are spread across 27 offices in 10 countries, including France, Germany, Switzerland, Belgium, the UK, Singapore, Hong Kong, Portugal, Egypt, and the Netherlands.

Key job responsibilities :

• Work directly with the science and engineering teams to build systems for provably correct
• AI reasoning with LLMs
• Build a system that generates automatically annotated data with an existing reasoning
• engine (AI planner, simulator, proof planner)
• Handle large-scale data annotations and automate pre/post-processing pipelines, including data lake management in S3 and compute resources.
• Build pipelines for training and fine-tuning LLMs with data
• Build an experimental test harness able to run experiments in multiple domains with the minimum of adaptation.
• Take part in scrum development in an international setting (Berlin, Boston, and Seattle)

Basic qualifications :

• Strong knowledge of relevant ML tools (PyTorch, TensorFlow, Keras, SageMaker ecosystem)
• Experience in scripting for automation (e.g. Python) and advanced SQL skills.
• Experience using Cloud Storage and Computing technologies (AWS Redshift, EC2, S3,
• SageMaker, Lambda)
• 3+ years of experience in Analytics, and Data Engineering (DE) experience with evidence of increasing responsibility
• apacity to independently lead and execute end to end insight projects, including asking the
• right questions, managing complex datasets, iterating on findings, and providing strategic
• guidance and recommendations to an engineering team
• Ability to develop experimental and analytic plans for data modeling processes, use of strong
• baselines, ability to accurately determine cause and effect relations
• Problem-solving mindset, willingness to find solutions
• Exceptional oral and written communication skills, effectively communicating complex
• business concepts and influence senior stakeholders

Preferred qualifications :

• Master's degree in statistics, data science, computer science, or an equivalent quantitative field
• Experience with training/deploying deep learning/ML models
• Experience with theory and practice of design of experiments and statistical analysis of results
• Experience programming to extract, transform and clean large (multi-TB) data sets

Our positions are open to recognized as disabled workers.

T&S Group promotes diversity and equality in the workplace.

All qualified M/F/O candidates are considered for employment on an equal basis.