Senior Applied Machine Learning Engineer

🔥 1 hour ago

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 22%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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ClanX

WebsiteLinkedInAll Job Openings

1 - 10 employees

🎯 Recruiter

🤖 Artificial Intelligence

👥 HR Tech

Recruitment • Artificial Intelligence • HR Tech

ClanX is a specialized recruitment agency focusing on technology roles such as engineers, product managers, and designers. Leveraging a network of tech professionals, the company provides a rapid and efficient hiring process with no upfront fees, ensuring a high-quality match for companies looking to fill technical positions. With a high match rate and quick turnaround times, ClanX uses AI-powered tools and deep industry expertise to vet candidates thoroughly. They offer a success-based payment model and a free replacement period, ensuring satisfaction with their hires.

📋 Description

• Improve existing churn, retention, and account segmentation models using customer data • Evaluate predictions against renewal, churn, expansion, and adoption outcomes • Build time-based backtests preventing models from accessing future information • Investigate incorrect predictions account by account and identify gaps in labels, features, or source data • Ship improvements into the existing Go product rather than stopping at analysis notebooks • Explain model performance and prediction errors to customers in clear business terms • Keep internal queries and training datasets confidential when discussing results • Run recall analysis for every existing customer using fixed test sets and ship identified improvements within the first 30 days • Within 3–6 months, automate evaluation and flag drops in recall, label quality, or product-usage signals • Build and validate new models for expansion, cross-sell, forecasting, and marketing use cases • Work with the Principal Backend Engineer, owning prediction quality while they own the surrounding product

🎯 Requirements

• 5+ years of applied ML experience with structured business data in production • Strong foundations in mathematics and statistics from a rigorous academic programme • Experience owning a production model used for business decisions, such as churn, retention, propensity, customer health, or segmentation • Strong understanding of classification, precision, recall, fixed test sets, and time-based evaluation • Ability to identify and fix data leakage, incorrect labels, and weak features • Experience working with messy CRM and product-usage data • Strong SQL skills • Engineering ability to ship changes inside a product codebase • Ability to work with Go application code • Ability to use Python for analysis and take improvements into production • Ability to investigate individual prediction errors and explain them to people without an ML background • Ability to independently drive unclear problems through investigation, testing, and implementation • Candidate currently working at a product based organisation is a must • An IIT or similarly strong programme is preferred • A public GitHub profile, side project, or technical blog is a strong plus • Candidates should be citizens of India and currently based in India • Candidates sought who can join within 30 days

🏖️ Benefits

• Full-time contractor arrangement with FunnelStory • The company will not make any deductions from agreed compensation