A specialized environmental company focuses on developing tools and solutions to address air quality and climate challenges. With years of experience, it supports industries worldwide by providing advanced, data-driven insights to promote sustainability and tackle environmental issues. The company operates with a team of experts delivering innovative solutions globally.
· Design and implement innovative AI-based solutions and methodologies to address business needs in meteorology and air quality.
· Conduct data collection, cleaning, and analysis to ensure high-quality datasets for AI models.
· Collaborate with the engineering team to integrate AI solutions into products and automate workflows.
· Plan and oversee AI projects, including estimating timelines and resources, to meet stakeholder expectations.
· Stay updated on AI advancements and apply state-of-the-art techniques to solve business challenges.
· Build partnerships with external professionals to exchange knowledge and tools.
· Communicate findings effectively to both technical and non-technical audiences.
· Support and mentor junior team members, fostering technical and professional growth.
· Hybrid work model: up to two remote days per week with flexible arrival time.
· Opportunities for professional training according to the needs of the position.
· Work on challenging and high-impact projects globally.
· Permanent contract.
· Flexible retribution with the possibility of private health insurance and restaurant vouchers.
· Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
· 3+ years of experience working in AI or machine learning roles, with a proven track record of deploying solutions in real-world environments.
· Experience in industries like environmental management, chemical, petrochemical, or mining is a plus.
· Experience working on projects involving meteorological or air quality applications is highly desirable.
· Strong expertise in AI techniques such as supervised and unsupervised learning, deep learning, reinforcement learning, and probabilistic models.Technical Skills
· Proficiency in Python, along with experience using frameworks like TensorFlow, PyTorch, Scikit-learn, or Keras.
· Knowledge of data visualization tools and reporting techniques for communicating results effectively.
· Familiarity with numerical modelling approaches, particularly in meteorology or air quality applications.
· Experience in using AI to complement and improve numerical modelling tools is a plus.
· Strong analytical skills with experience in data correlation analysis and statistical modeling.Soft Skills
· Excellent communication to present complex technical findings to stakeholders with varying levels of technical understanding.
· Strong organizational skills to structure methodologies and manage projects with clear milestones and deadlines.
· Adaptability to rapidly changing priorities and project requirements.
· Collaborative mindset to work with cross-functional teams and contribute to building a professional network for knowledge exchange.
· Fluent English and Spanish language.
