At Wellhub (formerly Gympass) (Permanent), in Lisbon, PortugalSalary : €55.000 - €65.000Expires at : 2025-12-09Remote policy : Full remoteWe are hiring a Senior Data Scientist for our AI Engine team in Portugal!We are seeking a talented and motivated Data Scientist to join our team in Brazil / Portugal and contribute to groundbreaking projects in Generative AI. In this role, you will help shape the future of AI-powered wellness solutions by leveraging Generative AI, fine-tuning LLMs, and evaluating Agentic systems.As a Data Scientist in the CARE team, you will be at the forefront of innovation, developing cutting-edge Agentic AI to enhance and personalize the wellness journey for millions of Wellhub subscribers. Your work will directly contribute to advancing AI’s role in wellness, making it more adaptive, impactful, and transformative. You will collaborate with a multidisciplinary team of engineers and domain experts to create innovative AI applications and solve real-world problems.YOUR IMPACTModel Development & Fine-tuning: Understanding state-of-the-art deep learning techniques, such as Transformers architectures and attention mechanisms, and knowledge of fine-tuning LLMs using techniques like LoRA, QLoRA, among others.Function Calling & Tool Use: Design and implement structured function calling mechanisms within LLMs to enable dynamic interactions with APIs, databases, and retrieval-augmented generation (RAG) pipelines.Prompt Engineering: Craft clear instructions to help our models understand exactly what we need, creating reusable templates and testing against edge cases.Data Preparation: Preprocess, analyze, and curate high-quality datasets to train and fine-tune both embedding and generative models.Evaluation and Testing: Develop robust evaluation frameworks to assess agentic AI performance, combining automated evaluation, adversarial testing, human-in-the-loop evaluations, and custom behavioral metrics.LLM Observability: Establish monitoring systems to track LLM behavior in production, capturing metrics around information retrieval, hallucinations, and latency.Research and Innovation: Stay current with the latest research in generative AI, share insights with the team, test promising approaches, and contribute to continuous improvement.Deployment: Collaborate with engineering teams to deploy models in scalable and efficient production environments.Live the mission : Inspire and empower others by genuinely caring for your own wellbeing and your colleagues. Foster a supportive environment where everyone feels comfortable taking care of themselves, taking time off, and maintaining work-life balance.Main requirementsMaster’s degree or PhD in Computer Science, Data Science, Machine Learning, Statistics, or a related field.Proficiency in Python and experience with machine learning frameworks such as PyTorch, TensorFlow, or similar.Strong understanding of generative AI architectures, including transformers and attention mechanisms.Experience in multi-agent systems and LLMs.Strong problem-solving abilities, with a focus on experimental design and data analysis.Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.Clear scientific thinking and a passion for integrating R&D and cutting-edge technology into products.We encourage all applicants to apply, even if they don't meet 100% of the criteria. Prior experience in Python and SQL is mandatory for this role.Benefits & PerksWe are committed to employee wellbeing. Our benefits include:WELLHUB : Access digital fitness programs and online wellness resources, including meditation, nutrition, mental health support, and more. The Gold plan is provided at no cost, with significant discounts on other premium plans.FITNESS : Additional subsidy for onsite gyms and fitness studios.FLEXIBLE WORK : Options for hybrid or full remote work, with a home office stipend and flexible work allowance.FLEXIBLE SCHEDULE : Flexibility to adjust working hours based on personal needs and time zones.PAID TIME OFF : Minimum of 25 days paid holiday per year, plus additional days based on tenure and special holidays.PARENTAL LEAVE : 100% paid parental leave for new parents, with extended maternity leave.CAREER GROWTH : Opportunities for personal and professional development.CULTURE : An inclusive, passionate, and high-growth environment fostering trust, flexibility, and integrity.
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