Lead AI/ML Engineer (m/f/d) - Natural Language Processing
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About the role
About
We are looking for a visionary Lead AI/ML Engineer (m/f/d) specializing in Natural Language Processing (NLP) to join our pioneering team on a fully remote basis. This is a unique opportunity to shape the future of artificial intelligence within a dynamic and forward‑thinking company. As a remote‑first organization, we empower our engineers to innovate and collaborate from anywhere in the world. You will play a pivotal role in developing and deploying cutting‑edge NLP models and solutions that drive intelligent applications and services. The ideal candidate possesses a deep theoretical understanding and practical experience in machine learning, deep learning, and NLP, coupled with a strong track record of leading technical projects and teams.
Responsibilities
- Design, build, and optimize advanced NLP models for tasks such as text classification, sentiment analysis, named entity recognition, machine translation, and question answering.
- Lead the end‑to‑end development lifecycle of AI/ML products, from data acquisition and preprocessing to model training, evaluation, and deployment in production environments, leveraging state‑of‑the‑art frameworks and libraries (e.g., TensorFlow, PyTorch, Hugging Face Transformers).
- Collaborate closely with product managers, data scientists, and software engineers to define project requirements, translate business needs into technical solutions, and ensure the successful integration of AI capabilities into our offerings.
- Mentor and guide junior engineers.
- Conduct research into new AI/ML techniques.
- Contribute to the overall technical strategy of our AI initiatives.
- Stay at the forefront of NLP advancements and foster a culture of innovation.
Requirements
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 6–8 years of progressive experience in AI/ML engineering, with a significant focus on NLP.
- At least 2–3 years in a lead or senior role.
- Proven expertise in developing and deploying NLP models using Python and relevant libraries.
- Strong knowledge of deep learning architectures (e.g., Transformers, LSTMs, CNNs).
- Experience with cloud platforms (AWS, Azure, GCP) for ML deployment (highly desirable).
- Excellent problem‑solving, algorithmic thinking, and communication skills.
- As this role is fully remote, exceptional self‑management, proactive communication, and the ability to work effectively in a distributed team are critical.
Location
Fully remote role; you will be working from home, connecting us globally from the region of St. Pölten, Lower Austria, AT.
Requirements
- Proven expertise in developing and deploying NLP models using Python and relevant libraries is mandatory.
- Strong knowledge of deep learning architectures (e.g., Transformers, LSTMs, CNNs) and experience with cloud platforms (AWS, Azure, GCP) for ML deployment are highly desirable.
- Excellent problem-solving, algorithmic thinking, and communication skills are required.
- Exceptional self-management, proactive communication, and the ability to work effectively in a distributed team are critical.
Responsibilities
- Designing, building, and optimizing advanced NLP models for tasks such as text classification, sentiment analysis, named entity recognition, machine translation, and question answering.
- Leading the end-to-end development lifecycle of AI/ML products, from data acquisition and preprocessing to model training, evaluation, and deployment in production environments.
- Collaborating closely with product managers, data scientists, and software engineers to define project requirements, translate business needs into technical solutions, and ensure the successful integration of AI capabilities into our offerings.
- Mentoring and guiding junior engineers, conducting research into new AI/ML techniques, and contributing to the overall technical strategy of our AI initiatives.
- Staying at the forefront of NLP advancements and fostering a culture of innovation are key aspects of this role.
Skills
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