Machine Learning Engineer (Up to 30LPA)

𝗔𝗯𝗼𝘂𝘁 𝘁𝗵𝗲 𝗝𝗼𝗯 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. 🚀 𝗪𝗵𝗮𝘁 𝗪𝗲'𝗿𝗲 𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴 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. 🚀 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 (3+ 𝗬𝗲𝗮𝗿𝘀 𝗼𝗳 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲) 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. 🧩 𝗪𝗵𝗮𝘁 𝗬𝗼𝘂'𝗹𝗹 𝗗𝗼

• 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. ✅ 𝗬𝗼𝘂'𝗿𝗲 𝗮 𝗚𝗿𝗲𝗮𝘁 𝗙𝗶𝘁 𝗜𝗳 𝗬𝗼𝘂
• 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 modern data engineering workflows.
• Strong debugging, analytical thinking, and ownership mindset. ⭐ 𝗚𝗼𝗼𝗱 𝘁𝗼 𝗛𝗮𝘃𝗲
• 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. ✨ 𝗪𝗵𝘆 𝗝𝗼𝗶𝗻 𝗨𝘀?
• 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.