Data Scientist LLM
Data Scientist LLM
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1 Vacancy
Job Description
We are seeking an innovative and experienced Data Scientist specialising in Large Language Models (LLMs) to join our dynamic team in Nieuwegein Netherlands. In this role you will be at the forefront of developing and implementing cutting-edge Natural Language Processing (NLP) solutions bridging the gap between emerging technologies and business needs.
- Design develop and implement advanced machine learning models with a focus on LLMs and NLP applications
- Collaborate with cross-functional teams to identify and solve complex business problems using data-driven approaches
- Conduct research on state-of-the-art LLM techniques and contribute to the development of novel algorithms
- Preprocess and engineer features from large-scale textual datasets for NLP tasks
- Optimise and deploy machine learning models in production environments
- Mentor junior team members and provide technical guidance on NLP and LLM projects
- Stay abreast of the latest developments in LLMs and GenAI sharing insights with the team and clients
- Contribute to the continuous improvement of our data science processes and methodologies
Qualifications :
- Masters degree (or equivalent experience) in a data-driven field such as Computer Science Statistics Artificial Intelligence or a related discipline
- Minimum of 3-4 years of hands-on experience in machine learning with a strong focus on NLP and LLMs
- Proven track record of implementing machine learning models in production environments
- Advanced proficiency in Python and experience writing production-ready code
- Extensive knowledge of LLMs and embeddings (e.g. GPT BERT) and their applications
- Familiarity with deep learning frameworks such as TensorFlow or PyTorch
- Experience with NLP-specific tools and libraries (e.g. LangChain HuggingFace spaCy)
- Proficiency in working with containerisation and orchestration tools (e.g. Docker Helm Kubernetes)
- Strong understanding of CI/CD practices and version control systems (e.g. Git)
- Demonstrated ability to preprocess data and engineer features for NLP tasks
- Knowledge of model optimization techniques and deployment strategies
- Excellent problem-solving skills and a constructive approach to challenges
- Strong communication skills and ability to explain complex concepts to both technical and non-technical audiences
- Fluency in Dutch and English (both required)
- Passion for staying up-to-date with the rapidly evolving NLP and LLM landscape
- Collaborative mindset and enthusiasm for working in a team environment
Additional Information :
Youll be part of a major name in the tech world known for its consulting digital services and software development. Youll work alongside high-level professionals who are bold in their approach and committed to delivering exceptional results. In addition youll become part of our Data area.
Within the Data area we create long-term value for our clients through data. We help companies stay agile during transitions by making data and technology a key part of both daily operations and strategic decision-making. In doing so we help our clients stay ahead of change through the power of data. Our ambition is to help organizations excel with data. Youll work in a high-tech environment focused on knowledge and innovation with an open no-nonsense culture that encourages initiative. The area consists of five practices: Data Governance & Data Management Data Visualization Data Science & AI Data Engineering & Data Migrations and Spatial Intelligence each with a clear identity and focus on content and corresponding solutions. Over 170 professionals work in this area each in the practice that best suits their expertise and interests.
Ready for the next step in your career Were happy to guide you in the right direction with offices in nearly 30 countries we can take you places youve never been before. Prefer to grow internally Thats possible too. We encourage you to keep challenging yourself and become the best version of who you are.
At Sopra Steria we ensure you can do your job with joy and balance. Thats why we offer an attractive and flexible employment benefits package:
- A permanent contract and a gross monthly salary between 3000 and 6000 (based on 40 hours per week). The exact amount depends on your experience and the role;
- 8% holiday allowance;
- A generous mobility budget including options such as an electric lease car with an NS Business Card a lease bike or alternative transportation that best suits your travel needs;
- 8% profit sharing on target (or a fixed OTB amount depending on the role);
- 27 paid vacation days;
- A flex benefits budget of 1800 per year plus an additional percentage of your salary. This can be used for things like purchasing extra vacation days or contributing more to your pension;
- A home office setup with a laptop phone and a monthly internet allowance;
- Hybrid working: from home or at the office depending on what works best for you;
- Development opportunities through training knowledge-sharing sessions and inspiring (networking) events;
- Social activities with colleagues from casual drinks to sports and content-driven outings;
- A flexible pension scheme with customizable contributions tailored to your needs;
- Option to participate in a collective health insurance plan.
Does this job sound like a match for you Ready to help shape the world with us Fantastic! Were already looking forward to receiving your application.
Sopra Steria is an equal opportunity employer. All qualified applicants will be considered for employment without regard to age ancestry nationality color family or medical leave gender identity or expression genetic information immigration status marital status medical condition national origin physical or mental disability political affiliation protected veteran or military status race ethnicity religion gender (including pregnancy) sexual orientation or any other characteristic protected by applicable local laws regulations and ordinances. We foster a work environment that is inclusive and respectful of all differences.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
