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We're building something meaningful — not just another dashboard or data toy. This role is for someone who enjoys working with real human behavior data, where every model you ship has the power to improve how people move, live, and take care of themselves.
If you love solving puzzles inside messy, real-world datasets, you'll feel at home here.
What You'll Work On
You'll Thrive Here If You Have
If you love solving puzzles inside messy, real-world datasets, you'll feel at home here.
What You'll Work On
- Build, train, and refine machine learning and deep learning models using time-series, sensor, and behavioral data.
- Integrate data from wearables, fitness tracking platforms, and device APIs to create a clear story from movement, patterns, and activity signals.
- Develop and maintain data pipelines that support both batch and real-time analytics.
- Own model deployment in production environments — your models won't live in notebooks; they'll live in the world.
- Work closely with engineering teams to integrate ML models into mobile and web apps.
- Support logic for fraud, spoofing, and anomaly detection, ensuring data reflects real human activity.
- Make complex outputs easy to understand — not just for engineers, but for product and business users too.
You'll Thrive Here If You Have
- 5+ years of hands-on experience as an ML Engineer or Applied Scientist.
- Strong foundation in machine learning, deep learning, and time-series analysis.
- Experience working with wearables, IoT data, or sensor-based datasets.
- Fluency in Python, PyTorch or TensorFlow, and good software engineering habits.
- Experience building and shipping production ML systems using modern MLOps practices.
- Comfort with Node.js, APIs, and backend integration workflows.
- Understanding of data privacy, cloud ML infrastructure (AWS, GCP, or Azure), and edge inference.
- A solid grasp of feature engineering, statistical reasoning, and evaluating what "good" looks like in a model.
- You enjoy going deep and figuring things out.
- You care about clarity — in your code, in your thinking, in how you explain your work.
- You see data not just as numbers but as stories about real people.
- You value responsibility. When something is yours, you own it end-to-end
Key Skills
Ranked by relevance
machine learning
deep learning
tensorflow
pytorch
python
cloud
mlops
aws
gcp
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- Posted
- Mar 18, 2026
- Type
- Full-time
- Level
- Entry
- Location
- India
- Company
- Flatgigs
Industries
IT Services
IT Consulting
Categories
Other
Related Jobs
3 roles aligned with this opportunity
View Job Details
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Senior Embedded Machine Learning Engineer (C++)
2026-05-28
Full-time
Mid-Senior
Finland
Software Development
Information Technology
View Job Details
Related
DATA SCIENTIST
2026-05-19
Full-time
Not Applicable
Singapore
Computer Hardware Manufacturing
Other
View Job Details
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Materials Engineer & Python Expert - Freelance AI Trainer
2026-05-27
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