Consultant Data Science (f/m/d) Focus NLP

STATWORX GmbH; Frankfurt; Vor Ort; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

A leading consulting and development company in Frankfurt is seeking an expert in Machine Learning and NLP to design generative AI systems and implement ML pipelines. The role involves close collaboration with clients and requires strong communication skills in both German and English. Join a dynamic team and work on exciting projects with flexible working options.

Leistungen

Jobticket Deutschland

Wellpass access

Apple IT equipment

Regular team events

Childcare support

Free drinks, fruit, and snacks

Qualifikationen

• Extensive knowledge in Machine Learning & Deep Learning, especially with respect to Transformers.
• Experience with common tools for NLP use-cases.

Aufgaben

• Design generative AI & NLP systems for customer projects.
• Implement robust ML pipelines according to best practices.

Kenntnisse

Machine Learning

Deep Learning

NLP

Communication

German

English

Tools

PyTorch

HuggingFace Transformers

OpenAI APIs

Jobbeschreibung

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 1000 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.

Your tasks

• You will design generative AI & NLP systems, that optimally cover customer problems and use cases in terms of performance, latency, costs, extensibility and complexity, within the scope of customer projects
• Consequently, you will have close contact with various stakeholders and representatives of our customers on a regular basis
• You will act as a project developer, subject matter expert or technical lead and deal with various use cases, e.g., knowledge management with retrieval augmented chatbots or fine-tuning of language models to increase the efficiency of an NLP pipeline / processing of domain-specific language
• As part of your work, you will implement robust, extensible, and performant ML pipelines according to current ML Ops or LLM-Ops best practices, working on different infrastructures (Azure, AWS, GCP)
• Furthermore, you will support the development of products and of our offering portfolio and contribute to the creation of marketing content
• In order to offer the best solutions to our customers, you will also take time to follow the latest developments in the field of NLP and AI (e.g., on repositories, methods, tools, papers) and stay up to date

Your profile

• Extensive knowledge in Machine Learning & Deep Learning, especially with respect to Transformers, LLMs and generative AI
• Experience in applying common tools and methods for handling NLP use-cases such as HuggingFace Transformers, OpenAI APIs, SentenceTransformers, Tokenizers, deployment, inference servers, and dataset creation
• Experience in productive use of ML frameworks, especially PyTorch
• Knowledge of, and ideally hands-on experience with, state-of-the-art approaches such as QLoRA PEFT, automated prompt engineering, open-source models, code LLMs, multimodal approaches, IFT and dataset generation (self-/evol-instruct, Orca), etc.
• Ability to write clean, performant, and extensible code and get it into production
• Initial experience with cloud deployments and ML Ops e.g., on Azure, GCP, or AWS
• You should also be a strong communicator, have very good German and English skills (at least C1 level), and be able to prepare and present complex issues in a way that is appropriate for the respective target group (business, tech)
• In addition, you should be reliable and work in a thorough and structured manner
• Lastly, you should enjoy occasional business trips to 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 yourexpertiseand opportunity to take overresponsibility
• Extensive methodological and personal development opportunities
• Small, dynamic team with flat hierarchies
• Short decision-making paths and agile processes
• Performance-based, attractive compensation package
• A modern, high-quality furnished office that invites you to exchange ideas and linger, as well as the opportunity to work flexibly from other locations, including up to 4 weeks from other EU countries
• Reduced public transport ticket (Jobticket Deutschland) and access to a wide range of sports and wellness offers (Wellpass) at a reasonable price
• And many other benefits, such as Apple IT equipment (MacBook Pro), regular team events, employee discounts, childcare support, free drinks, fruit and snacks

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 [phone] or [e-mail].

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’swhy we welcome every application – regardless of gender, nationality, ethnic and social origin, religion, ideology, disability, age, as well as sexual orientation and identity.