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Spark Eighteen

AI/ML Engineer - Senior

Posted 5 Days Ago
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In-Office
New Delhi, Delhi, IND
Senior level
In-Office
New Delhi, Delhi, IND
Senior level
Develop and deploy production machine learning systems for fall detection and health risk scoring. Build classical ML models, engineer features from radar and point-cloud data, contribute to pose estimation, and create Databricks training and inference pipelines. Own model evaluation and false-alarm reduction for a safety-critical system, monitor deployed models, and mentor team members while working in a fast-moving environment.
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We’re not just building tech - we’re building smart, scalable solutions that make a real impact. We’re on the lookout for a curious and driven AI/ML Engineer - Senior who’s excited about pushing the boundaries of what AI and machine learning can do. If you love working on real-world challenges, experimenting with the latest in generative AI, and mentoring a talented team, this role is for you.



Requirements
  • 3-5 years of experience shipping ML systems in production

  • Build classical ML models such as XGBoost, ensembles, and time-series methods for fall detection and health risk scoring

  • Engineer features from raw and sparse radar signal and point-cloud data

  • Contribute to CV-adjacent work such as pose and skeleton estimation from radar

  • Build data pipelines on Databricks for training and inference

  • Own model evaluation, including precision, recall, and false-alarm reduction, for a safety-critical system

  • Deploy and monitor models in production

  • Strong Python and classical ML fundamentals

  • Some exposure to computer vision or sensor and spatial data

  • Working knowledge of data engineering and Databricks

  • Comfortable working with ambiguity in a small, fast-moving team

  • Bonus: Health tech or IoT experience, and MLOps experience with ONNX or quantization


Benefits
  • Comprehensive insurance coverage that gives you peace of mind, so you can focus on doing your best work

  • Flexible work arrangements designed to support sustained productivity, personal well-being, and work-life balance

  • Continuous learning and accelerated skill development through hands-on projects and mentorship from experienced industry leaders

  • Global client exposure across 20+ countries, offering real-world experience with diverse markets and business environments

  • Opportunity to work on high-impact, large-scale projects that have collectively generated over $1B in measurable business value

  • Competitive, market-aligned compensation packages that recognize performance, expertise, and long-term contribution

  • Monthly demo days that celebrate innovation, showcase your work, and give you a real voice in what we build

  • Annual recognition programs and performance-driven awards in a truly meritocratic environment

  • Referral bonuses that reward you for helping grow a strong, like-minded team

  • A strong problem-solving culture with opportunities to tackle meaningful, real-world challenges

  • A positive, people-first workplace that supports happiness, balance, and long-term growth



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