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WHAT YOU'LL BE DOING- Design and develop solutions based on Generative AI and Machine Learning, including integration with LLMs, RAG, and vector databases.
- Implement and optimize models using Python and AI frameworks such as TensorFlow and PyTorch.
- Apply fine-tuning and transfer learning techniques to adapt models to specific domains.
- Develop APIs and services to expose AI models in a scalable way.
- Collaborate with cross-functional teams to define requirements and deliver robust solutions.
- Be part of an agile team, contributing to technical reviews and promoting best practices.
- Hands-on experience with language models and Generative AI (LLMs).
- Knowledge of fine-tuning, transfer learning, and advanced NLP techniques.
- Experience with LLM APIs (OpenAI, Azure OpenAI, HuggingFace).
- Experience with data engineering, preprocessing, and training pipelines.
- Knowledge of SQL and data ingestion.
- Excellent English communication skills Nice to Have:- Knowledge of LangChain, Semantic Kernel, or orchestration frameworks for Generative AI.
- Experience with MLOps tools (MLflow, Kubeflow, Vertex AI, SageMaker).
- Familiarity with RAG, embeddings, and vector databases (Qdrant, Pinecone).
- Knowledge of Docker, CI/CD, and Git.
- RESTful API development and scalable service integration.
- Data visualization skills.
- Experience with cloud platforms (Azure, AWS, GCP) for AI workloads.
We provide innovative products and services in the fields of photography, medical systems, graphics systems, document solutions, optical devices, and biotechnology.
With over 50 years of experience, we currently have more than 170 employe
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