Website:
coderound.ai
Job details:
๐๐ฏ๐ผ๐๐ ๐๐ต๐ฒ ๐๐ผ๐ฏ
This role is for one of our client companies โ a VC-backed HealthTech startup that has raised $1M USD in funding.
๐ฐ Salary: Up to 30 LPA
Apply once and, if selected, get access to up to 20 remote and onsite interview opportunities.
๐ ๐ช๐ต๐ฎ๐ ๐ช๐ฒ'๐ฟ๐ฒ ๐๐๐ถ๐น๐ฑ๐ถ๐ป๐ด
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.
๐ ๐ ๐ฎ๐ฐ๐ต๐ถ๐ป๐ฒ ๐๐ฒ๐ฎ๐ฟ๐ป๐ถ๐ป๐ด ๐๐ป๐ด๐ถ๐ป๐ฒ๐ฒ๐ฟ (3+ ๐ฌ๐ฒ๐ฎ๐ฟ๐ ๐ผ๐ณ ๐๐
๐ฝ๐ฒ๐ฟ๐ถ๐ฒ๐ป๐ฐ๐ฒ)
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.
๐งฉ ๐ช๐ต๐ฎ๐ ๐ฌ๐ผ๐'๐น๐น ๐๐ผ
- 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.
โ
๐ฌ๐ผ๐'๐ฟ๐ฒ ๐ฎ ๐๐ฟ๐ฒ๐ฎ๐ ๐๐ถ๐ ๐๐ณ ๐ฌ๐ผ๐
- 3โ4 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 modern data engineering workflows.
- Strong debugging, analytical thinking, and ownership mindset.
โญ ๐๐ผ๐ผ๐ฑ ๐๐ผ ๐๐ฎ๐๐ฒ
- 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.
โจ ๐ช๐ต๐ ๐๐ผ๐ถ๐ป ๐จ๐?
- 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.
Click on Apply to know more.
