Analyze and process tabular performance data from existing pipelines.
Design, train, and evaluate machine learning models for prediction, clustering, and recommendation tasks.
Define and track relevant metrics, identifying trends and patterns over time.
Develop data-driven systems to forecast user performance and progression.
Build personalized recommendation systems based on user metrics.
Perform data cleaning, preprocessing, and feature engineering.
Collaborate with Computer Vision and app teams to integrate outputs into the broader product.
Ensure models are efficient and suitable for low-latency environments when required.

2+ years of experience in Machine Learning and Data Analysis.
Strong experience working with tabular data.
Proficiency in SQL and experience with database management.
Experience with data cleaning, preprocessing, and visualization.
Solid understanding of core ML algorithms such as PCA, t-SNE, K-means, Decision Trees, Bagging & Boosting (XGBoost), least squares, ARIMA, among others.
Proficiency in Python, including libraries such as Pandas, NumPy, and Scikit-learn.
Experience training, evaluating, and deploying ML models.
Good understanding of model evaluation metrics and validation techniques.
Awareness of resource constraints (memory, compute, latency).
Strong academic background (Master’s or PhD in a relevant field preferred).
Ability to work in multidisciplinary teams.
Nice to have: Experience with NLP, conversational AI, or language models.
Experience with multimodal AI (e.g., vision-language models, CLIP).
Familiarity with speech synthesis or voice-based interaction systems.
Understanding of edge AI frameworks such as TensorRT, TFLite, or ONNX Runtime Mobile.
Experience with MLOps tools such as MLflow or Weights & Biases.
Experience deploying chat models or AI assistants, ideally in fitness, gaming, or sports coaching contexts.
Familiarity with reinforcement learning from human feedback (RLHF).

Play BHOUT: You and your family members can enjoy our special BHOUT Club Memberships.
Competitive Compensation: Competitive salary and performance-based Bonuses.
Extra Time Off: Enjoy 25 vacation days per year, plus 3 additional days off on your birthday, Christmas Eve, and New Year’s Eve.
Health Insurance: Access to a wide network of clinics and hospitals, negotiated rates, and reimbursement of medical expenses. For you and your immediate family, in Portugal only.
Work-Life Balance: Work on your own terms with BHOUT's Flexible Hours and Remote Work Options!
Entrepreneurial Environment: Dynamic atmosphere where every voice is heard, and every idea has the potential to make a significant impact.
Team Get-Togethers: Regular Team Events and Off-sites to foster Collaboration and Camaraderie!

Junior AI & Machine Learning Engineer

Key skills