Senior ML/​AI Engineer - Remote Opportunity

About the Role

We are seeking a Senior ML/AI Engineer to join our dynamic team at Recruit Signals. This remote position offers an exciting opportunity to lead the development of our AI-powered hiring intelligence platform. As a key member of our team, you will be responsible for building predictive models that enhance our ability to identify hiring signals from various data sources.

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 in PyTorch or TensorFlow.
• Strong time-series feature engineering skills.
• 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 specifically — either via 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 a high degree of autonomy.
• Opportunity to work closely with the founding team and influence product direction.
• High autonomy — you own the intelligence layer of the product.
• Early hire at a fast-moving AI-native product.