MLOps

• About BHOUT

BHOUT is on a mission to revolutionize the way people approach fitness. We understand that many individuals struggle to find enjoyment in traditional physical exercise, which often leads to its avoidance. That's where BHOUT comes in. We're dedicated to transforming the fitness experience into an exciting and engaging activity. Our smart boxing bags, fueled by cutting-edge AI technology and a dedicated app, are designed to gamify fitboxing, turning it into an immersive game that rewards your sweat.

Starting with a thriving BHOUT club in the heart of Lisbon, we're now expanding our reach globally. BHOUT bags will be a familiar sight everywhere – whether it's in offices, homes, buildings, or gyms – making fitness accessible wherever the mood strikes.

• Working at BHOUT Means

Friendly
- Simple and user-friendly to make it more accessible, democratic and fun.

Inclusive
- Everyone is different. We acknowledge and celebrate each individual.

Transparent
- We are what we are. We don't hide or pretend.

Punch
- BHOUT makes a difference. Everything we do has a punch, gets noticed.

Curious
- Eternally evolving. Driving the fitness world forward. Creating new rituals and trends.

Connected
- We are a team of many. To build a community, we have to build connections, using technology, creating live experiences.

• About the Role:

We are looking for a
Machine Learning Engineer in MLOps
to join our team and build the backbone of BHOUT's
AI production pipeline
. This role focuses on
scaling, automating, and optimizing
our ML lifecycle.

The ideal candidate will have hands-on experience with
MLOps frameworks
,
CI/CD for ML
,
model serving
, and
edge optimization
. You'll work closely with ML engineers to ensure BHOUT's AI models are
robust, reproducible, and deployable
, powering real-time feedback and coaching experiences on our smart boxing bags.

• What You'll Do:
• Design and maintain end-to-end ML pipelines for data ingestion, model training, validation, and deployment.
• Build CI/CD workflows for model deployment.
• Implement model versioning, tracking, and experiment management using tools such as MLflow or Weights & Biases.
• Collaborate in ML, CV, and NLP projects to streamline the transition from research to production.
• Establish best practices for reproducibility, security, and management of ML systems.
• Integrate edge AI frameworks (TFLite, ONNX Runtime) to deploy models directly on BHOUT's devices.
• Support continuous learning pipelines, enabling models to adapt with new data from live training sessions.
• What You'll Need:
• 5+ years of experience in Machine Learning Infrastructure, MLOps, or Applied ML Engineering.
• Proven experience building automated ML pipelines for training and deployment.
• Strong proficiency in Python and experience with frameworks such as PyTorch, TensorFlow.
• Hands-on knowledge of MLflow, Weights & Biases, Jenkins, or Docker for model management and orchestration.
• Familiarity with cloud platforms (e.g., AWS, Azure).
• Experience with edge AI optimization (quantization, pruning, model distillation).
• Solid understanding of DevOps principles and CI/CD for ML systems.
• Familiarity with Android development (Kotlin/Java) and NDK for native integrations.
• Strong debugging, automation, and scripting skills.
• Excellent collaboration and communication skills with AI teams.
• Nice to Have:
• Experience with data versioning tools (DVC, Delta Lake).
• Knowledge in Computer Vision (CV) and/or Natural Language Processing (NLP)
• Knowledge of distributed training and model parallelization.
• Familiarity with real-time inference pipelines and low-latency architectures.
• Understanding of model monitoring and retraining loops (online learning, active learning).
• Interest in fitness, gaming, or human-performance AI applications.
• Experience in model benchmarking.
• Experience with on board model deployment, specifically for embedded targets.
• Our Perks:
• Play BHOUT: Enjoy free BHOUT Club membership.
• 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.
• Work-Life Balance: Work on your terms with BHOUT's flexible hours and hybrid/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

Join Us
BHOUT is an equal opportunity employer. We celebrate diversity and welcome applicants from all backgrounds. Join us in our mission to make fitness fun and accessible for everyone