Senior Machine Learning Engineer - Predictive Hiring Intelligence

About the Role

We are looking for a Senior Machine Learning Engineer - Predictive Hiring Intelligence to join our team remotely. As a key member of our AI-powered hiring intelligence platform, you will play a vital role in developing predictive models that help identify companies likely to hire in the near term. This position allows you to leverage your expertise in machine learning and AI while working in a dynamic and innovative environment.

What You'll Do

• Design and train sequential models (GRU/LSTM) on time-series company data to predict hiring spikes 1–2 months in advance.
• Engineer features from structured data across multiple signal categories covering company activity, talent movement, and market signals.
• Build and maintain multiple model pipelines suited to different company profiles, each scoring independently based on relevant signals.
• Handle class imbalance, sliding window construction, temporal train/test splits, and model evaluation using ranking-focused metrics appropriate for the use case.
• Own model versioning, experiment tracking (MLflow or equivalent), and regular retraining cycles.

Requirements

• 4 to 7 years of hands-on ML/AI engineering experience.
• Experience training sequential models (GRU or LSTM) in PyTorch or TensorFlow.
• Strong time-series feature engineering skills, including rolling averages and lag features.
• Familiarity with MLflow or equivalent for experiment tracking and model versioning.
• Ability to communicate clearly with non-technical stakeholders.

Nice to Have

• Experience with LinkedIn data enrichment APIs or third-party data vendors.
• Familiarity with TimescaleDB, DuckDB, or similar analytical/time-series databases.
• Experience at a B2B SaaS, HR tech, or sales intelligence company.

What We Offer

• Competitive salary benchmarked to senior IC roles in the Indian market.
• Fully remote work with an async-first culture.
• High autonomy in your role, owning the intelligence layer of the product.
• Opportunity to grow as an early hire at a fast-moving AI-native product.
• Collaboration with a lean, ambitious team focused on machine learning and AI.