Apply📍 Colombia
🧭 Indefinite
🔍 Artificial Intelligence
- English level: C1.
- Bachelor's degree in Engineering, Economics, Mathematics, Physics, or related fields.
- Minimum of 3 years of experience in Artificial Intelligence, Machine Learning, and data automation solutions.
- Advanced proficiency in Python for data analysis, Generative AI, and Machine Learning.
- Strong statistical foundation with high analytical and numerical capabilities.
- Experience developing and deploying AI models in production.
- Knowledge of structured and unstructured databases, including Advanced SQL, NoSQL, and vector databases for embeddings and information retrieval.
- Expertise in AI architectures and tools, including: Machine Learning Frameworks: TensorFlow (Keras), PyTorch, NLP & LLMs: OpenAI API, Hugging Face, LangChain, Retrieval-Augmented Generation (RAG) techniques for improved AI responses
- Proficiency in data visualization tools and dashboard creation.
- Intermediate Excel skills.
- Design and improve AI models and behavioural simulations, ensuring accuracy and adaptability across different scenarios.
- Implement and optimize autonomous AI agents for task automation and advanced insight generation.
- Explore different Machine Learning and Generative AI approaches, including reinforcement learning, supervised learning, and unsupervised learning.
- Apply fine-tuning and transfer learning to adapt models to diverse use cases.
- Define and develop strategies for integrating AI into various products and business solutions.
- Collaborate with product and engineering teams to translate AI capabilities into actionable functionalities.
- Develop customization mechanisms to adapt AI models for different industries and customer needs.
- Evaluate and define KPIs to measure and improve model performance
- Design and execute data collection, processing, and validation strategies to enhance model accuracy.
- Integrate Retrieval-Augmented Generation (RAG) techniques to ensure generated responses are contextually relevant and verifiable.
- Apply predictive modeling and simulation techniques to anticipate trends and behaviors.
- Validate model accuracy and consistency through comparisons with real data and reference models.
- Implement dynamic adjustments and optimization of Language Models (LLMs) for improved adaptability across various contexts.
- Work with technical teams to optimize data pipelines and ensure AI models are scalable and efficient in production.
- Develop methodologies for the validation, updating, and continuous improvement of AI models.
- Design interactive dashboards and reports to visualize trends, predictions, and AI model results.
- Present findings and recommendations to key stakeholders, ensuring alignment with strategic business objectives.
PythonSQLArtificial IntelligenceData AnalysisKerasMachine LearningPyTorchData scienceNosqlTensorflowCommunication SkillsAnalytical SkillsProblem SolvingAdaptabilityData visualizationData modelingData analytics
Posted 9 days ago
Apply