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This role is for one of our client companies — a VC-backed HealthTech startup that has raised $1M USD in funding.

? Salary: Up to 30 LPA

Apply once and, if selected, get access to up to 20 remote and onsite interview opportunities. ? ???? ??'?? ????????

CodeRound AI matches the top 5% tech talent with the fastest-growing, VC-funded AI startups across Silicon Valley and India.

Top-tier product startups across the US, UK, EU, UAE, and India have hired exceptional engineers through CodeRound. ? ??????? ???????? ???????? (3+ ????? ?? ??????????)

We're looking for a Machine Learning Engineer to build and productionize ML models that power predictive health insights from radar sensor data. You'll work on reliable, real-world ML systems used in production, collaborating closely with hardware, backend, data engineering, and product teams. ? ???? ???'?? ??

Build ML models using XGBoost, ensemble methods, anomaly detection, and time-series techniques.

Develop feature engineering pipelines for radar signals, point-cloud, and sensor data.

Work on movement, pose, and activity estimation using radar-based data.

Build training, evaluation, and inference pipelines using Databricks.

Perform exploratory data analysis to improve model performance and identify edge cases.

Evaluate models using production metrics such as precision, recall, false alarms, and detection latency.

Monitor and improve production ML systems across devices and deployments.

Write clean,



production-grade Python code and collaborate with hardware and data engineering teams to improve model reliability. ✅ ???'?? ? ????? ??? ?? ???

3–4 years of experience building and deploying ML systems in production.

Strong Python programming skills.

Solid understanding of feature engineering, model training, cross-validation, and model evaluation.

Experience with XGBoost, Random Forests, Gradient Boosting, anomaly detection, or time-series models.

Good SQL skills with experience using PySpark, Pandas, or Databricks.

Experience working with sensor, IoT, time-series, point-cloud, or computer vision data.

Familiarity with Spark, Delta Lake, or contemporary data engineering workflows.

Strong debugging, analytical thinking, and ownership mindset. ⭐ ???? ?? ????

Experience in HealthTech, IoT, or safety-critical systems.

Exposure to Computer Vision, pose estimation, or object tracking.

Experience with MLflow, model monitoring, or experiment tracking.

Knowledge of ONNX, edge deployment, or latency optimization.

Experience with Kafka, Spark Structured Streaming, or real-time inference systems. ✨ ??? ???? ???

Build AI systems that create meaningful real-world healthcare impact.

Own end-to-end ML solutions from experimentation to production.

Work with cutting-edge radar sensing, IoT, and applied AI technologies.

Collaborate with a high-performing, fast-moving engineering team.

Accelerate your career while solving challenging production ML problems.

📌 Machine Learning Engineer (Up to 30LPA) (India)
🏢 CodeRound AI
📍 India