# AI ML Engineer

> Flatgigs · India (Remote) · — · Posted 2026-03-17

**Workplace:** remote

## Description

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**

-   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.

## Requirements

### **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.

### **The Kind of Person We’re Looking For**

-   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.

## Apply

[Apply at Flatgigs](https://apply.workable.com/flatgigs/j/BCEC027532/apply)

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