Offer summary

Qualifications:

Bachelor's degree in Computer Science, Machine Learning, or related fields., Experience with Python, R, Matlab, and SQL., Proven ability to deploy machine learning solutions on cloud platforms like AWS, Azure, or GCP., Familiarity with Generative AI concepts and frameworks..

Key responsibilities:

Develop and deploy machine learning models and Generative AI solutions.

Communicate findings effectively with stakeholders and management.

Collaborate with the Data Science team to improve AI models.

Stay updated with the latest advancements in AI and machine learning.

We are a company that provides consulting services, design and implementation of solutions in Big Data and Data Analytics, with more than 32 years of experience. We help our clients in their digital transformation journey in order to optimize their performance and be more competitive in their market, making better and faster decisions based on data, hand in hand with trained talent in different industries and cutting-edge technologies. We solve business problems through analytical models that make knowledge profitable and optimize digital transformation processes. We work with different technologies in which our team of specialists have the experience and certifications that allow us to analyze the different needs of clients, their technological preferences and propose solutions that maximize investments in analytical platforms. Similarly, we have strategic allies for specific projects for business issues that warrant it. We are your ideal ally in analytical business architecture processes!

Job description

Machine Learning & Generative IA Engineer

We are looking for a motivated and goal-oriented ML/GenAI Engineer to join our Data
Science and Modelling team.

Requirements:

✅ Bachelor’s degree in Computer Science, Machine Learning, Geology, Statistics, Mathematics, etc.
✅ Experience with scientific scripting languages (e.g., Python, R, Matlab) and SQL
✅ Demonstrated experience deploying real-world machine learning solutions on hyperscale cloud platforms (e.g., AWS, Azure, GCP, Databricks)
✅ Familiarity with foundational concepts of Generative AI (e.g., LLMs, diffusion models, transformers) and relevant frameworks
✅ Excellent communication and presentation skills, able to effectively communicate with management, engineering teams, clients, and other stakeholders
✅ English level B2 or higher conversational (will be validated)

Preferred Qualifications:

✅ Experience with object-oriented programming (e.g., Python, C#/C++, Java).
✅ Knowledge of deep learning and related toolkits: TensorFlow, PyTorch, Keras, etc.
✅ Knowledge of the energy industry, understanding different challenges and potential
solutions.
✅ Experience with MLOps tools and practices (e.g., MLflow, Kubeflow, Data Version
Control).
✅ Hands-on experience with GenAI frameworks (e.g., langchain, langgraph, adk, semantic kernel, dspy)

🚀 100% Remote
💡 Remuneration in dollars
📊 Stability and growth opportunities

If you’re ready to turn data into game-changing insights, we want to hear from you! Apply today and help shape the future of the energy market.

Required profile