Senior ML Engineer

Optimizely · Artificial Intelligence · Data & Analytics · Python · 3 days ago
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Salary
≈ $30k – $62k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Senior · 3+ years exp

First seen by Alion on Oct 24, 2026.

Overview
Company
Impact
Profile match

Optimizely

Optimizely is a digital experience platform company headquartered in New York City that sells content management, experimentation and A/B testing, personalization, commerce and AI-driven marketing software. It took its current form when Episerver acquired Optimizely in 2020 and adopted its name, and it now has more than 1,600 employees in over 20 offices, with customers including H&M, PayPal and Zoom among more than 10,000 brands. It hires software and AI engineers, .NET developers, account executives, sales development representatives, customer success managers and marketing analytics specialists.
optimizely.com · HQ: New York, United States · Data & Analytics · Software · Sales & Marketing · Artificial Intelligence · Commerce · Digital Marketing · Marketing Automation · Recommendation Systems · CMS & Digital Experience Platforms · A/B Testing & Experimentation · 1001-5000 employees
Tech stack of Optimizely
Backed by Insight Partners, Kleiner Perkins, Y Combinator

Requirements:

  • 3-5 years of experience in Machine Learning / Applied AI.
  • Strong foundation in Machine Learning, Statistics, and Probability.
  • Hands-on experience with Python and ML frameworks.
  • Experience building RAG systems and LLM-powered applications.
  • Understanding of agentic workflows, tool calling, and orchestration.
  • Strong problem-solving skills and product mindset.
  • Ability to move quickly from prototype to production.
  • Strong academic background with a B. Tech/M. Tech from a Tier-1 institution and demonstrated excellence in quantitative subjects.


Bonus Points:

  • Experience in fintech, wealth tech, or financial services.
  • Experience with LangGraph, LlamaIndex, LangChain, CrewAI, or similar frameworks.
  • Experience building production-grade AI systems.

Skills

LLM, ML, RAG, applied AI, artificial intelligence, large language model, machine learning, python, retrieval augmented generation

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