- GenAI: Identifying opportunities to use GenAI to address business challenges, enhance existing processes, or create innovative solutions.
- Data insights: provide data insights and support product decisions leveraging existing data or gather additional data to understand user behavior.
- Model Fine-tuning: Fine-tune pre-trained models to adapt to specific use cases and requirements, including performing large language models (LLMs) fine-tuning and optimization for enhanced model performance. Additionally, collaborate with data scientists to annotate and preprocess data for model training, ensuring the models are tailored effectively to the intended applications.
- Prompt Engineering: Develop and refine prompts to enhance the performance and output quality of generative models, ensuring that the models respond accurately and relevantly to various input scenarios.
- Data Preparation: Collect, preprocess, and analyze large datasets to ensure high-quality input data for training generative models.
- Embeddings: Develop and utilize embeddings to represent complex data types (e.g., text, images) in a way that facilitates the generation of meaningful and accurate outputs.
- Research and Innovation: Stay current with the latest research in generative AI, propose new approaches, and contribute to the academic and technical community through publications and presentations.
- Collaboration: Work closely with cross-functional teams to integrate generative models into products and services, ensuring they meet business objectives and user needs.
- Evaluation and Testing: Develop and implement rigorous testing and evaluation frameworks to assess model performance, robustness, and reliability. Collaborate with the Data team in order to improve our internal ML Ops platform.
- Documentation: Maintain comprehensive documentation of models, algorithms, experiments, and processes to ensure reproducibility and knowledge sharing.
- Live the mission: inspire and empower others by genuinely caring for your own wellbeing and your colleagues. Bring wellbeing to the forefront of work, and create a supportive environment where everyone feels comfortable taking care of themselves, taking time off, and finding work-life balance.
- Bachelor's or Master’s degree in Computer Science, Data Science, Machine Learning, Statistics, or a related field;
- Proficiency in Python and experience with machine learning frameworks such as TensorFlow, PyTorch, or similar;
- Knowledge of generative models, including GANs, VAEs, autoregressive models, and transformers;
- Strong problem-solving abilities, with a focus on experimental design and data analysis;
- Excellent verbal and written communication skills (both in English and Portuguese), with the ability to explain complex technical concepts to non-technical stakeholders.
- Proficient in model fine-tuning and hyperparameter optimization; (preferred)
- Proven track record of developing and deploying generative AI models in production; (preferred)
- Familiarity with natural language processing (NLP) and/or computer vision applications; (preferred)
- Familiarity with vector databases for handling high-dimensional data. (preferred)
- WELLNESS: Health, dental, and life insurance.
- FLEXIBLE WORK: At Wellhub, flexibility fosters a happier, healthier, and more productive work environment for everyone. As a Flexible First company, we offer two work model options: flexible hybrid and full remote, and make the office a place for collaboration, community, and team building. The model for this role can be discussed with your recruiter and hiring manager. We offer all employees a home office stipend and a monthly flexible work allowance to help cover the costs of working from home.
- FLEXIBLE SCHEDULE: Wellhubbers and their leaders can make the best decisions for their scope. This includes flexibility to adjust their working hours based on their personal schedule, time zone, and business needs.
- WELLHUB: We believe in our mission and encourage our employees and their families to take care of their wellbeing too. Access onsite gyms and fitness studios, digital fitness programs, and online wellness resources for meditation, nutrition, mental health support, and more. You will receive the Gold plan at no cost, and other premium plans will be significantly discounted.
- PAID TIME OFF: We know how important it is that our employees take time away from work to recharge. Vacations after 6 months and 3 days off per year + 1 day off for each year of tenure (up to 5 additional days) + extra day off for your birthday.
- PAID PARENTAL LEAVE: Welcoming a new child is one of the most special moments in your life and we want our employees to take the time to be present and enjoy their growing family. We offer 100% paid parental leave to all new parents and extended maternity leave.
- CAREER GROWTH: Outstanding opportunities for personal and career growth. That means we maintain a growth mindset in everything we do and invest deeply in employee development.
- CULTURE: An exciting and supportive atmosphere with ambitious people from around the world! You’ll partner with global colleagues and share in the success of a high-growth technology company disrupting the health and wellness space. Our value-based culture of trust, flexibility, and integrity makes this possible every day. Find more info on our careers page!