Boost IT is made up of people who are motivated to improve the world and who are passionate about technology. Our vision focuses on the skill to bring people together around complex problem solving for our clients creating sophisticated solutions.
People are our most important asset and the reason for our business. We are proud of our strong culture that challenges the status quo and always searches for the best solution for our clients.We believe technology can lead to a positive change in society connect and inspire and ultimately lead to a better future.
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Tasks
- This individual will work within a team of Machine Learning Data and MLOps Engineers and will be responsible for designing and developing Machine Learning models with a strong focus on generative AI and LLMbased agents.
Working under the guidance of the Lead AI Engineer this role is primarily handson. - As a ML Engineer you will focus on the following areas:Feature Engineering: identifying the most relevant information from prepared data
- ML Algorithms: liaise with Data Scientists and implement the selected ML algorithms
- ML Model Training: train models with the most adequate learning method (supervised unsupervised reinforcement learning etc)
- ML Model Performance: finetune models for optimal performance
- LLM models: able to identify assess and utilise proprietary and opensource LLM models
- LLM optimisation techniques: experience in Retrieval Augmented Generation and Finetuning optimisation techniques
- LLM prompt engineering: knowledgeable of techniques to query LLMs in the most optimal way
Requirements
- Experience: Minimum of 4 years in artificial intelligencerelated positions
- Communication Skills: High proficiency in English (both written and oral).
- ProblemSolving Skills: Strong capability in identifying issues and formulating effective solutions.
- Certifications: Google Cloud or AWS ML related certifications are highly desirableAs an accomplished AI professional you would have had significant exposure to the following technologies:
- Machine Learning: Google Vertex AI TensorFlow pytorch scikitlearn etc
Generative AI: Frameworks LangChain - LLMs: Google: Gemini PaLM2 Imagen
- Portugal based