Salary
≈ $34k – $90k per year (Estimated)
Location
In office (Lisbon)
Employment
Full-Time
Confirmed on the employer's own hiring board on Oct 4, 2026. First seen by Alion on Oct 1, 2026. Teamlyzer scores B on the Alion truth index.
Overview
Company
Impact
Profile match
Teamlyzer is a Portuguese platform where IT professionals share independent reviews of what it is like to work at technology companies in Portugal. Users read and write anonymous company reviews and job interview experiences, helping developers compare employers, while the site also lists tech job offers. It focuses on the Portuguese IT market and aims to bring transparency to technology employers.
Sobre a vaga
You will be focused on collaborating with cross-functional teams to translate business requirements into AI/ML solutions. The Sales Spoke team leverages advanced analytics and AI to enable business units to explore untapped data potential and provide value-adding solutions.
O que vais fazer
- Collaborating with cross-functional teams to understand business requirements and translate them into AI/ML solutions
- Designing, developing and deploying AI models and algorithms for tasks such as classification, regression, clustering, and recommendation
- Preprocess and analyze large datasets to extract meaningful features and insights for model training
- Experiment with different machine learning techniques and algorithms to improve model performance and accuracy
- Implement and optimize AI/ML models for scalability, efficiency, and real-time inference
- Conducting rigorous testing and validation of AI models to ensure robustness, reliability, and generalization
- Staying updated on the latest advancements in AI/ML research, frameworks, and tools, and evaluate their applicability to our projects
- Collaborate closely with data engineers, product owners, business stakeholders, and external partners
- Ensure models are explainable, auditable, and aligned with data privacy and regulatory requirements
- Mentor and support junior team members, fostering a culture of continuous learning and experimentation
O que é pedido
- Degree in computer science, software engineering, or comparable work experience
- Proven experience working as a Data Scientist or related role
- Hands-on experience in building and deploying AI models and generative AI models in production environments
- Experience in programming languages commonly used in AI/ML development, such as Python
- Strong experience in machine learning algorithms, techniques, and frameworks, such as TensorFlow, PyTorch, scikit-learn
- Experience with cloud platforms (e.g., AWS, Azure, GCP) and related AI/ML services including generative AI technologies
- Strong analytical mindset, structured problem-solving skills, and a product-thinking approach
- Great communication skills in English, both written and spoken
Resumo organizado por IA a partir do anúncio original. Confirma os detalhes no site da empresa.
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