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ILI.DIGITAL - Machine Learning/NLP Engineer - job post

Damia
Teletrabalho

Dados da oferta

Tipo de oferta

  • Período Integral

Descrição Completa da Oferta

ILI.DIGITAL is currently hiring a Machine Learning/NLP Engineer


ILI Digital is a strategic technology partner based in Karlsruhe, Germany, specializing in technology solutions that transform complex business challenges into tangible outcomes for blue-chip clients.
The AI team focuses on solving complex business challenges through practical AI solutions. They leverage cutting-edge technologies to deliver impactful results across various industries.
About the role/What you'll do: They are seeking a dedicated Machine Learning Engineer with a passion for Natural Language Processing (NLP) and data science to join our Data Science/AI team. As a key team member, you will play a crucial role in developing and deploying cutting-edge NLP and machine-learning solutions to solve complex business problems. Your expertise will drive advancements in our data-driven decision-making processes and contribute to the success of our organization.
Your Responsibilities will include:
  • Develop and implement state-of-the-art machine learning models.
  • Design and build scalable and efficient data pipelines for processing and transforming large volumes of textual data, ensuring data quality and availability.
  • Collaborate with cross-functional teams, including Data Scientists and Software Engineers, to integrate NLP and machine learning solutions into our products and services.
  • Stay up to date with the latest advancements in NLP and machine learning research and apply best practices to improve existing models and algorithms.
  • Utilize cloud-based platforms and infrastructure to deploy, monitor, and maintain NLP and machine learning models in production environments.
  • Conduct performance analysis and optimization of NLP and machine learning algorithms, fine-tuning models for accuracy and efficiency.
  • Collaborate with stakeholders to define project requirements, objectives, and success criteria for NLP and machine learning initiatives.
Qualifications:
  • Bachelor’s degree in computer science or a related field.
  • Minimum of 2 years of experience in Natural Language Processing.
  • Proficiency in programming languages such as Python, along with experience in deep learning frameworks such as TensorFlow, PyTorch, etc.
  • Strong background in machine learning, generative AI, and real-world AI applications
  • Experience with large-scale distributed training on GPUs or TPUs
  • Hands-on experience building and deploying NLP models in real-world applications, including text classification, named entity recognition, and language modelling.
  • Experience with vector databases (e.g., Pinecone, Weaviate, pgvector) and embedding models for semantic search, retrieval augmented generation (RAG), and efficient similarity-based information retrieval in NLP applications.
  • Familiar with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) for deploying NLP and machine learning solutions.
  • Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.
  • Strong communication and teamwork skills.
  • Good communication skills in English.
Want to know more? Get in touch with us
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