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sparkeighteen

AI/ML Engineer - Senior

New Delhi · Mid Level

Older listing - lower visibility likelyVerified listingPosted 54d ago

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97Experience

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Skills required

7 listed
Machine LearningHealth RisksXgboostDatabricksPython (Programming Language)MLOps (Machine Learning Operations)ONNX (Open Neural Network Exchange)
Machine LearningHealth RisksXgboostDatabricksPython (Programming Language)

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Job description

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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All Machine Learning Engineer jobs in New Delhi

Two ways in

Applicants who checked fit first are 3.1× more likely to hear back

Your match scoreFree · sign in
86Overall
64Skills
97Experience

Your score for this role already exists

ASAI compared this JD against 41 signals - skills, seniority, domain, stack overlap etc. Add a resume and it unlocks in about 30 seconds.

Always free · no credit card · 1 tap with Google

Free · no signup

Get tomorrow's jobs before you have to search

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Join WhatsAppJoin Telegram

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Why people use ASAI

Someone shared one job with you. ASAI keeps finding the rest.

  • Scored, not searched. Every role ranked against your actual profile.

  • Alerts as often as hourly. Reach new roles while the pile is still small.

  • Skill gaps, spelled out. See exactly which requirements you don't meet yet.

  • Verified jobs, only. Say no to ghost jobs. Your time deserves respect.

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