Auf einen Blick
- Aufgaben: Design and implement cutting-edge NLP systems for diverse customer projects.
- Arbeitgeber: Join statworx, a top consulting firm in data and AI based in Frankfurt.
- Mitarbeitervorteile: Enjoy flexible working hours, remote options, and a friendly office atmosphere.
- Warum dieser Job: Work on exciting AI projects with a steep learning curve and mentorship opportunities.
- Gewünschte Qualifikationen: Bring 4+ years of experience in ML, NLP, and cloud deployments, with strong coding skills.
- Andere Informationen: Diversity is valued here; all backgrounds are welcome to apply!
Das voraussichtliche Gehalt liegt zwischen 60000 - 84000 € pro Jahr.
- Employment type Permanent
- Topic Data Science
- Experience experienced
About us
statworx is a leading consulting and development company for data and AI, based in Frankfurt am Main. We offer strategic consulting for medium-sized businesses and global corporations. We develop innovative data and AI solutions across all business areas and corporate functions. We empower people at all levels of expertise with our data and AI education formats. In short: We support companies in all aspects of digital transformation – for over 10 years, in more than 500 data and AI projects, and for over 100 clients from almost all industries.
Our AI Development department serves as a facilitator for Data & AI transformation. We are taking a holistic approach, from the initial evaluation of AI maturity, through the design and development of data and AI solutions, to the practical implementation and scaling of AI solutions. Through our deep expertise in Data Engineering, Data Science, Machine Learning, we ensure that our clients gain the maximum value from their data.
Responsibilities
- As part of customer projects, you design Generative AI and NLP systems that effectively address customer challenges and use cases in terms of performance, latency, cost, scalability, and complexity.
- In your role, you regularly engage with various stakeholders and customer representatives, ensuring close collaboration and alignment.
- You act as a developer, expert, or technical lead and work on diverse use cases, such as knowledge management with retrieval-augmented chatbots, implementing agent systems, or fine-tuning language models to enhance the efficiency of an NLP pipeline or process domain-specific language.
- As a Technical Lead, you guide less experienced team members, support their work, and provide constructive feedback and mentorship.
- Additionally, as an expert, you contribute to multiple projects as needed to solve complex problems.
- You plan and implement robust, scalable, and high-performance ML pipelines following the latest ML Ops and LLM-Ops best practices, working across various infrastructures, including Azure, AWS, and GCP.
- Furthermore, you support the development of products, contribute to expanding our service portfolio, and assist in creating marketing content.
- You present solution proposals and handle technical communication with customer representatives during the acquisition process.
- To offer the best possible solutions to our customers, you also dedicate time to staying up to date with the latest developments in NLP and AI – such as new repositories, methodologies, tools, and research papers.
Your profile
- You have extensive knowledge in Machine Learning & Deep Learning, particularly regarding Transformers, LLMs, and Generative AI, as well as experience in the production use of ML frameworks, especially PyTorch.
- You bring at least 4 years of experience applying common tools and methods for NLP use cases, such as Transformers, OpenAI APIs, SentenceTransformers, Tokenizers, Deployment, high-performance inference, and dataset creation.
- You have solid theoretical knowledge and ideally practical expertise in state-of-the-art AI approaches, including QLoRA PEFT, automated prompt optimization, (multi-)agent systems, open-source models, code LLMs, multimodal approaches, post-training & IFT, test/inference-time optimizations, and the generation of synthetic datasets.
- You are able to write clean, efficient, and scalable code and deploy it to production.
- You have strong competency in designing and implementing AI solution architectures, including comprehensive end-to-end implementations.
- You are skilled in providing technical guidance and leadership, including mentoring and supporting team members.
- You have extensive expertise in cloud deployments and ML-Ops workflows on platforms such as Azure, GCP, or AWS.
- You are also a strong communicator with very good German and English skills (at least C1 level) and are able to prepare and present complex topics in a way that is appropriate for the respective target group (business, tech).
- Additionally, you stand out for your reliability, thoroughness, and structured approach to work.
- Lastly, you enjoy occasional business trips to visit our customers on-site in DE/AT/CH.
Our offer
- Data Science & AI consulting as core business with exciting projects and state-of-the-art NLP use cases at well-known customers.
- Interesting professional challenges, steep learning curve, further expansion of your expertise and opportunity to take over responsibility.
- Extensive methodological and personal development opportunities including regular internal and external training opportunities.
- Small, dynamic team with flat hierarchies.
- Short decision-making paths and agile processes.
- Flexible working hours and locations (remote office options).
- Modern, high-quality furnished office, friendly working atmosphere.
- Reduced public transport ticket (Jobticket Deutschland) and access to a wide range of sports and wellness offers (Wellpass) at a reasonable price.
- Additional benefits: company pension plan, Apple IT equipment (MacBook Pro), company events and joint celebrations, free drinks and catering, and much more.
Your application
Apply via the application form and upload your current CV including a description of your software and methodological skills. Afterwards, we will then contact you as soon as possible. If you have any questions concerning your application or our vacancies, you can reach us by telephone at +49-(0)69 6783-0676-5 or via
What is particularly important to us is that we value the uniqueness of each individual and always treat each other as equals. Diverse backgrounds, attitudes, and ideas enrich us and form the basis of our success. That’s why we welcome every application – regardless of gender, nationality, ethnic and social origin, religion, ideology, disability, age, as well as sexual orientation and identity.
Does it sound exciting? Apply now!
Learn more!
As one of the leading companies in the field of data science, machine learning, and AI, we guide you towards a data-driven future. Learn more about statworx and our motivation.
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Senior Consultant Data Science (f/m/d) Focus NLP Arbeitgeber: STATWORX
Kontaktperson:
STATWORX HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Senior Consultant Data Science (f/m/d) Focus NLP
✨Tip Number 1
Make sure to showcase your experience with NLP and Generative AI in your conversations. Highlight specific projects where you've successfully implemented these technologies, as this will resonate well with the team at statworx.
✨Tip Number 2
Familiarize yourself with the latest trends and methodologies in NLP and AI. Being able to discuss recent developments or tools during your interviews will demonstrate your commitment to staying current in the field.
✨Tip Number 3
Prepare to discuss your experience with cloud platforms like Azure, AWS, or GCP. Since statworx emphasizes cloud deployments, being able to articulate your hands-on experience with these infrastructures will set you apart.
✨Tip Number 4
Emphasize your leadership and mentoring skills. As a Technical Lead, you'll be guiding less experienced team members, so sharing examples of how you've supported others in their professional growth will be beneficial.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Senior Consultant Data Science (f/m/d) Focus NLP
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure you fully understand the responsibilities and requirements of the Senior Consultant Data Science position, especially regarding NLP and Generative AI. Tailor your application to highlight relevant experiences and skills.
Highlight Relevant Experience: In your CV and cover letter, emphasize your extensive knowledge in Machine Learning & Deep Learning, particularly with Transformers and LLMs. Provide specific examples of past projects or roles where you applied these technologies.
Showcase Your Communication Skills: Since strong communication is key for this role, ensure that your application reflects your ability to present complex topics clearly. Use concise language and structure your documents logically to demonstrate your communication prowess.
Tailor Your Application Documents: Customize your CV and cover letter to align with statworx's values and mission. Mention your interest in digital transformation and how your background can contribute to their projects. Make sure to include a description of your software and methodological skills as requested.
Wie du dich auf ein Vorstellungsgespräch bei STATWORX vorbereitest
✨Showcase Your Technical Expertise
Be prepared to discuss your extensive knowledge in Machine Learning, Deep Learning, and NLP. Highlight specific projects where you've applied frameworks like PyTorch and tools such as Transformers or OpenAI APIs.
✨Demonstrate Leadership Skills
As a potential Technical Lead, emphasize your experience in mentoring and guiding team members. Share examples of how you've supported less experienced colleagues and contributed to their growth.
✨Communicate Effectively
Since strong communication skills are essential, practice explaining complex technical concepts in simple terms. Be ready to tailor your communication style to different audiences, whether they are business stakeholders or technical teams.
✨Stay Updated on Industry Trends
Show your passion for the field by discussing recent developments in NLP and AI. Mention any new methodologies, tools, or research papers you've explored, demonstrating your commitment to continuous learning.