AI/ML Engineer (Data Scientist for Health Analytics)
Role Summary:
We are seeking an AI/ML Engineer to develop and implement machine learning models for disease detection and anomaly prediction at proDigiPet. Your work will be crucial in analyzing pet vital signs (heart rate, SpO2, temperature, activity) to enable early health issue detection and preventive care.

Key Responsibilities:
  1. Design and implement anomaly detection algorithms for health alerts.
  2. Process real-world pet health data and build predictive models.
  3. Optimize models for low-latency real-time inference.
  4. Work with the backend team to deploy ML models efficiently.
  5. Participate in research and development of new health monitoring algorithms
  6. Document model architectures and maintain experiment tracking
Required Skills & Experience:
  1. Programming Languages: Python, TensorFlow, PyTorch, Scikit-learn
  2. Machine Learning Models: Time-series analysis (Prophet, LSTM, Transformers), anomaly detection
  3. Data Processing: Signal filtering, noise reduction
  4. Algorithm Development: Bayesian networks, LSTMs, XGBoost
  5. Cloud-Based AI Deployment: AWS SageMaker, Google Vertex AI
  6. 5+ years of machine learning experience, proven track record of deploying ML models to production
Preferred Experience:
  1. Prior work in biometric or physiological signal processing
  2. Experience with real-time anomaly detection models
  3. Strong statistical analysis background
Language Requirements:
  • Primary: Professional fluency in English
  • Advantageous: German and/or Russian
Compensation & Agreement:
  1. Base Equity: 1.5-3.5% vesting over 4 years with a 1-year cliff
  2. Additional Performance Equity: Up to 2% based on key technical milestones
  3. Deferred Payment: pending till funding receipt (pre-seed)
  4. Ownership Clause: Work produced under the proDigiPet umbrella remains the company’s intellectual property.
Working conditions:
  • Initial: Remote (UTC±2 preferred)
  • Post-funding: Hybrid model from our office in Germany (Berlin, Hamburg, or Munich)

Successful candidates should be able to receive direct bank transfer from the EU, no intermediate option or crypto-payments are considerable.
Contact

Interested candidates should submit their CV and a brief description of their most relevant project experience to mikhail[at]prodigipet.com

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.