Job Title: Machine Learning Engineer – Sensor Data & Time Series

Location: Bengaluru, Karnataka (Work from Office)

Employment Type: Full time

About Us

We're building the first precision health platform for pets – a sensor-driven, AI-powered ecosystem that decodes the health signals dogs give off every day. The ones most people miss.

It starts with EverBowl, a clinical-grade device that reads:

- Hydration & intake
- Body temperature
- Eating behavior
- Sound of a bite

...all building toward a single daily wellness score. Paired with our app and Protect+ (our insurance-rewards membership), we're helping pet parents move from guesswork to knowing.

We are not building another pet gadget. We're building models that actually work in the field – not just in a notebook. That's the problem this role exists to solve.

Role Overview

We're looking for a hands-on ML Engineer to build and ship models across our sensor-driven product ecosystem. You'll work closely with the ML Lead on digital signal processing, computer vision, and time series problems – taking models from early prototype to reliable, production-deployed systems.

What You'll Do

- Build and iterate on ML models for time series, audio signal, and sensor fusion problems under the guidance of the ML Lead
- Build and maintain data preprocessing and feature engineering pipelines that prepare sensor data for training and inference at scale
- Package and deploy models into production, including on edge or embedded compute, with attention to latency and resource constraints
- Run structured experiments to evaluate model accuracy, generalization,



and failure modes – and document findings clearly
- Support monitoring and retraining pipelines that track model performance and drift after deployment
- Work closely with firmware, hardware, and app teams to turn model outputs into clear, actionable product insights

Requirements (Mandatory)

- B.Tech in Computer Science, Electrical Engineering, or related field from a Tier 1 institute (IIT, NIT, BITS Pilani, or equivalent)
- 3+ years of applied machine learning experience
- Solid understanding of time series analysis and at least one of:
- CNNs
- RNNs
- Signal processing techniques
- Proficiency in Python and at least one ML framework:
- TensorFlow or
- PyTorch
- Experience taking at least one model from prototype to production or near-production deployment

Bonus Skills (Good to Have)

- Experience with audio signal processing or accelerometer-based activity classification
- Familiarity with edge deployment of ML models on embedded compute
- Exposure to MLOps tools and practices
- Prior experience in IoT, wearables, or health-tech

Why Join Us?

- Ship models that run on real hardware, on real dogs – not just in a notebook
- Learn directly from the ML Lead while owning real pieces of the roadmap
- Take ownership early, with a direct line to the people building the rest of the product
- Join a small, fast-moving team building a category-defining, sensor-driven product

Hiring Process

- Application Review
- Shortlisted candidates will receive a take-home assignment
- Technical discussion on assignment
- Final interview with the founding team

Pay: ₹527,719.27 - ₹1,847,075.50 per year

Work Location: In person

📌 Machine Learning Engineer (Bengaluru)
🏢 Vikgol Technologies Private
📍 Bengaluru