Spark Eighteen
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Delhi · On-site · 3-6 Yrs · Aug 24
Software Development · 51 to 200 Employees · New Delhi, India
Founded over 12 years ago with a simple belief: every ambitious vision deserves world-class technical execution. We started Spark Eighteen because we saw too many brilliant ideas fail not from lack of vision, but from inadequate technical partnership. Since our bootstrapped beginning, we've grown into the go-to technology partner for companies that think beyond just building—they build to scale, build to exit, build to transform entire industries. We've contributed over $1 billion in revenue to our clients' products and helped orchestrate successful acquisitions including Live Objects to Zuora and Glide Health to McKesson. We serve three core customer types: early-stage startups needing rapid MVP-to-market execution, growth companies scaling from Series A to acquisition, and Fortune 500 enterprises driving digital transformation. Whether it's a healthcare startup revolutionizing patient care or a fintech company reshaping financial services, we become their strategic technical co-founder—minus the equity. What sets us apart? We don't chase contracts—we build relationships. Our quality-first development philosophy means we're obsessed with creating architectures that don't just work today, but attract partnerships tomorrow. We've learned that sustainable success comes from genuine partnership, not vendor relationships. As a profitable, bootstrapped company, we've maintained our startup agility while building enterprise-grade solutions. Our team brings a global perspective from building across 20+ countries, yet we stay true to our core belief: the best technology partnerships feel less like outsourcing and more like adding the perfect technical co-founder to your team. Every partnership begins with a 2-week proof-of-concept because we believe the right technical partner can make the difference between a good product and an acquisition target.
Hiring: Engineering
What employees say
+ Good environments , Time to imporve one self
− Need lead for Data Science
More reviews on the company profile.
Interview experience · QA Lead
Their are 3 technical rounds and 1 HR round (Screening round of 30 min). My profile was being forwarded by a recruiting agency after an initial technical screening. Frankly speaking the interviewer doesn't know the param
Average difficulty · New Delhi · 2 reports
More interview insightsJob description
Overview
We’re not just building tech - we’re building smart, scalable solutions that make a real impact.
Qualifications
- 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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Last updated 15 September 2026
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