Postée il y a 41 jours
Kicklox est une plateforme d'ingénierie et de conseil en technologies. Nous fédérons une communauté de plus de 120 000 ingénieurs qui interviennent (en mission ou en CDI) sur les projets de nos clients, grâce à notre plateforme digitale qui facilite la mise en relation, et le suivi de projet.
Your role
Dive into a position where your passion for artificial intelligence meets cutting-edge
technology. In this role, you will play a pivotal part in designing and implementing advanced AI
solutions that enhance our operational efficiency, from trading algorithms to customer
experience improvements. Your analytical mindset will drive innovation and refine our
AI-driven systems.
Your challenges
Develop and deploy deep learning, reinforcement learning, and graph neural networks for predictive analytics and automated decision-making systems.
Implement state-of-the-art NLP solutions for sentiment analysis and document processing, utilizing tools like spaCy and Hugging Face Transformers.
Build systems leveraging vector databases such as Weaviate, Pinecone, and Milvus for real-time, context-aware data retrieval.
Design and develop autonomous and multi-agent systems for dynamic decision-making and complex task management in trading environments.
Deploy and maintain AI models at scale using tools like MLflow, Kubeflow, and TensorFlow Serving for seamless production workflows.
What you have
Proven experience in AI or machine learning, with a strong portfolio of impactful projects.
Proficiency in programming languages such as Python, R, C++, or Java.
Expertise in deep learning frameworks like TensorFlow, PyTorch, or scikit-learn.
Familiarity with data tools including Pandas, NumPy, and HDFS for analysis and storage.
Experience with vector databases for similarity-based retrieval systems.
Strong problem-solving skills and the ability to collaborate effectively across teams.
Excellent written and spoken communication skills in English.
What's good to have
Experience with generative models (e.g., GANs, StyleGAN).
Knowledge of MLOPS and automation tools like Docker and Kubernetes.
Hands-on experience with real-time processing tools such as Flink or Kafka.
Advanced degree in Computer Science, Machine Learning, or a related field.
What you have
Proven experience in AI or machine learning, with a strong portfolio of impactful projects.
Proficiency in programming languages such as Python, R, C++, or Java.
Expertise in deep learning frameworks like TensorFlow, PyTorch, or scikit-learn.
Familiarity with data tools including Pandas, NumPy, and HDFS for analysis and storage.
Experience with vector databases for similarity-based retrieval systems.
Strong problem-solving skills and the ability to collaborate effectively across teams.
Excellent written and spoken communication skills in English.
What's good to have
Experience with generative models (e.g., GANs, StyleGAN).
Knowledge of MLOPS and automation tools like Docker and Kubernetes.
Hands-on experience with real-time processing tools such as Flink or Kafka.
Advanced degree in Computer Science, Machine Learning, or a related field.