Data Science, AI & ML

Cavendish Professionals; Lisboa; On-site; EUR 40,000 - 70,000; Part time

Job summary

A technology consulting firm in Lisbon is seeking a Mid-Senior Level Emerging Tech Developer to create rapid prototypes and develop AI solutions. Ideal candidates will have strong expertise in neural networks, deep learning, and experience in GenAI projects. The position emphasizes collaboration within cross-functional teams and staying updated with advancements in AI technology. This role is crucial for driving the firm's AI strategy.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
• Strong expertise with large scale Neural Networks, Deep Learning and Reinforcement Learning techniques.
• Practical exposure to GenAI projects and related frameworks like RAG apps, vector DBs.
• Advanced knowledge of Python and machine learning frameworks.
• Understanding of the whole ML lifecycle and experience with MLOps/DataOps.
• Experience with Probabilistic Graphical Modelling.
• Strong problem-solving skills and attention to detail.

Responsibilities

• Development and training of transformer-based models for text and images.
• Architect and oversee the entire model lifecycle from data preparation to deployment.
• Collaborate with cross-functional teams to design and implement AI-driven solutions.
• Stay current with the latest advancements in AI and machine learning.

Job description

Overview

Emerging Tech Developers create rapid proofs of concept to test hypotheses about how emerging technologies can be applied to business use cases. We learn and explore at the forefront of Artificial Intelligence, Blockchain, Internet of Things, Robotics, Virtual Reality and Augmented Reality. The lab’s role is to generate prototypes, demos and learnings that our teams and clients can use when deciding how to apply and invest in emerging technologies.

The majority of the resources would be supporting the development of assets (e.g., plugins) to further drive our overall AI strategy across the firm. In addition to that, we have ongoing AI R&D initiatives that we’d look to leverage some of these roles to help us continue driving the initiatives

Responsibilities

• Development and training of transformer-based models for both text and images.
• Architect and oversee the entire model lifecycle, from data preparation, model design, training, development and validation to model deployment and monitoring.
• Collaborate with cross-functional teams, including data scientists, software engineers, and domain experts, to design and implement AI-driven solutions.
• Stay current with the latest advancements in AI and machine learning, integrating new techniques and technologies as appropriate.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
• Strong expertise with large scale Neural Networks, Deep Learning and Reinforcement Learning techniques.
• Practical exposure to GenAI projects and related frameworks (RAG apps, vector DBs, LangChain, LlamaIndex, agentic frameworks, ...)
• Advanced knowledge of Python and machine learning frameworks (SciPy, Scikit-learn, TensorFlow, PyTorch, pyMC, pgmpy, ...)
• Understanding of the whole ML lifecycle and experience with MLOps/DataOps.
• Experience with Probabilistic Graphical Modelling (Bayesian Networks, Markov Random Fields, Factor Graphs, ...)
• Strong problem-solving skills and attention to detail.

Seniority level

• Mid-Senior level

Employment type

• Contract

Industries

• IT Services and IT Consulting, Software Development, and Business Consulting and Services