Machine Learning Engineer

Genesis Digital Solutions is a consulting and technology company that helps organizations turn ideas into measurable business impact through digital expertise and AI innovation. Founded in 2018, we operate across Portugal and the United Arab Emirates, supporting clients in multiple industries with intelligent, scalable, and secure solutions. We combine strategy, engineering, and emerging technologies such as AI, Data, Web3, and Digital Product Development to drive transformation end to end. Our focus is on building practical, human-centered solutions and long-term partnerships that enable sustainable growth, innovation, and real-world results.

Join our client’s team as a Machine Learning / AI Engineer and help build, enhance, and operationalize intelligent AI capabilities. You will work end to end, from data preparation and model development to production deployment, contributing to strategic use cases that drive predictive intelligence and advanced analytics.

What You’ll Work On

• Build, train, and optimize Machine Learning and AI models for strategic use cases such as regulatory forecasting, text analysis, and predictive intelligence.
• Collaborate with engineering teams to deploy models into production using APIs and MLOps pipelines.
• Document model workflows, architectures, and experimental results.
• Contribute to the definition and implementation of MLOps practices and model lifecycle management tools.

What We’re Looking For

• 3–5 years of experience in Machine Learning, Data Science, or AI Engineering roles.
• Strong proficiency in Python and Machine Learning libraries such as scikit-learn, TensorFlow, PyTorch, or equivalent.
• Knowledge of data pipelines, ETL/ELT processes, and orchestration frameworks such as Airflow or Kubeflow.
• Experience with cloud-based ML services and deployment platforms, such as Azure Machine Learning, Databricks, AWS SageMaker, or GCP Vertex AI.
• Solid understanding of model performance metrics, validation techniques, and result evaluation.

Why You’ll Stay

• A workplace that values innovation, experimentation, and continuous learning.
• Opportunity to work on AI-driven products with real-world impact.
• Flexible working model and collaborative environment.
• Support for professional development, training, and certifications.

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