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En Krell Consulting, nos encontramos en la búsqueda de un Ingeniero AI, para incorporarse a nuestro equipo, en modalidad remota. PERFIL: AI Engineer MODALIDAD DE TRABAJO: Remoto 100% (desde España) FUNCIONES: - Lead a team of AI engineers in the design, development, and maintenance of solutions based on machine learning, deep learning, and generative artificial intelligence. - Design and optimize AI models and algorithms , ensuring their efficiency, scalability and accuracy and implement generative AI solutions for applications such as natural language processing (NLP), content generation, user experience personalization, business process automation, recommendation systems .. etc - Supervise the quality of the code and promote good development practices in the team. - Coordinate the deployment and deployment of models in production environments, including the use of MLOps, AIOps, and GenAIOps. - Stay up to date on trends and advances in AI to apply best practices in projects. - Provide mentoring and training to the team to improve technical skills and foster a collaborative environment. REQUERIDO: - Degree in Computer Science, Systems Engineering, Mathematics, Statistics, or a related field. - 3-5 years of experience in developing AI, machine learning, and generative AI models. - Experience in programming languages such as Python, R... - In-depth knowledge of AI frameworks such as TensorFlow, PyTorch, Scikit-learn and generative models such as GPT, BERT or Stable Diffusion. - Experience in data manipulation and processing with tools such as Pandas, NumPy and SQL. - Experience in the management and configuration of vector databases. - Familiarity with software architectures and cloud deployment (AWS, GCP, or Azure). - Knowledge of hyperscaler AI and ML services (Amazon SageMaker, Google Vertex AI, Azure Machine Learning, among others). - Experience with MLOps and automation pipelines. - Experience with container technologies such as Docker and container orchestration tools such as Kubernetes. - Experience with different communications protocols such as REST API or MQTT. - Strong understanding of CI/CD pipelines and version control systems - Leadership skills and experience managing technical teams. - Communication skills and ability to work in multidisciplinary teams. Desirable: - Experience integrating generative AI into enterprise applications. - Experience in agile methodologies such as Scrum or Kanban. - Posts or contributions in the AI community. Proceeds: - Remote or hybrid work. - Opportunities for professional growth and leadership development. - Collaborative and challenging work environment. - Ongoing training and access to educational resources. Si estás interesad@, no dudes en aplicar a la posición. ¡Esperamos tu postulación!

Your career starts now... We are renowned European world leader in consulting, digital services and software development with 56.000 employees in almost 30 countries and more than 4.000 employees in Spain. We focus on people; their growth and their professional development is what makes us grow and improve constantly. We are passionate about the digital world and just like you we are looking for the greatest adventures. We want your day to day to be your source of inspiration. We want you to learn, to have fun, to grow and most importantly to enjoy to the fullest. If you want to be a part of a "Great Place to work" company ...just keep reading! This role is for a Senior ML/LLM Engineer with strong data science capabilities and a significant focus on API development and full-stack engineering principles. They will be responsible for the end-to-end lifecycle of machine learning solutions, from model conception and development to building robust, scalable APIs and integrating them into production applications. Qualifications Data Science, Model Development & LLM Expertise: Statistical Models & Machine Learning: Develop, test, and validate statistical and machine learning models in Python. Explore, select, and prepare datasets, including feature engineering using libraries like NumPy, Pandas, Polars, and SciPy. Advanced ML Libraries: Develop and implement classification, regression, and other predictive models leveraging libraries such as Scikit-learn, XGBoost, LightGBM, CatBoost, and deep learning frameworks like TensorFlow/Keras and PyTorch. Natural Language Processing (NLP) & Text Mining: Utilize NLP techniques to extract insights from unstructured text, employing libraries like NLTK, spaCy, Hugging Face Transformers, and Sentence Transformers. Large Language Models (LLMs): Architect and implement solutions using LLMs (e.g., GPT-4, Claude 3, Llama 3, Gemini) via APIs or by fine-tuning open-source models for tasks like extraction, classification, summarization, content generation, and conversational AI. Proficiency with LLM application development frameworks such as LangChain, LlamaIndex, and Haystack for building complex, orchestrated LLM workflows. Skilled in prompt engineering, fine-tuning techniques (e.g., LoRA, QLoRA), and designing Retrieval Augmented Generation (RAG) systems. Experience with vector databases (e.g., Pinecone, Weaviate, ChromaDB, FAISS) for semantic search and knowledge retrieval. What do we have for you? Full time permanent contract 23 days annual leave Continuous training: technical and transversal skills and languages. We provide access to several certifications and accreditations and learning programs with our main technological partners, online platforms and more. Life and accident insurance. Flexible benefits program (health insurance, meal vouchers, childcare vouchers, mobility, and training) "Privilige Club" access, where you will find deals for several brands. Detailed and personalized onboarding. We'll be with you in every step of the way so you can feel #soprano from the very beginning. Recreational spaces in our offices because work and fun go hand in hand. Companionship and great working environment because we know how important the power of togetherness is. And most importantly you´ll have the opportunity to develop your professional career with us. Together we'll create an individualized career development plan. We'll establish goals and we'll make sure we achieve them together. Your priorities will be ours. Your voice will be heard! - Join us and be part of something bigger! The world is how we shape it Adquirimos el compromiso de respetar la diversidad, creando un ambiente de trabajo inclusivo y aplicando políticas que favorezcan la inclusión y promuevan el respeto social y cultural en cuestiones de género, edad, funcional, orientación sexual y religión con igualdad de oportunidades.