About the Role

At Crossing Hurdles, we are a referral partner for organizations that collaborate with the world's leading AI research labs. We are seeking talented individuals to help build and train cutting-edge AI models.

Responsibilities

• Frame and design high-quality machine learning tasks to enhance LLM capabilities.
• Build and optimize ML models for NLP, classification, prediction, recommendation, or generative tasks.
• Run rapid experimentation cycles, evaluate model performance, and iterate on improvements.
• Conduct advanced feature engineering and preprocessing for large-scale datasets.
• Implement adversarial testing, robustness checks, and bias evaluations.
• Fine-tune, evaluate, and deploy transformer-based models when required.
• Create datasets, evaluation rubrics, and benchmarking pipelines for ML tasks.
• Maintain documentation for experiments, datasets, and modelling decisions.
• Stay updated with cutting-edge ML research, tools, and competition-grade methodologies.

Requirements

• 3–5+ years of experience in machine learning model development.
• Degree in Computer Science, Engineering, Statistics, Mathematics, or a related field.
• Proven competitive ML background (Kaggle/DrivenData) with medals or strong rankings is preferred.
• Strong proficiency in Python with PyTorch/TensorFlow.
• Solid understanding of ML fundamentals — statistics, optimisation, model evaluation.
• Experience building reproducible ML pipelines and experiment tracking.
• Familiarity with benchmarking, scoring methodologies & evaluation frameworks.
• Experience with cloud environments (AWS/GCP/Azure).
• Strong problem-solving ability, analytical mindset, and clear communication skills.
• Fluency in English.

Preferred Qualifications

• Kaggle Master/Grandmaster or multiple gold medals.
• Experience with LLMs, generative models, or multimodal learning.
• Knowledge of vector DBs, distributed training, scalable deployments.
• MLOps exposure — W&B, MLflow, Airflow, Docker.
• Publications, open-source contributions, or tech writing experience.
• Prior mentorship or leadership experience.

Application Process

1. Apply for the job role.
2. Await an official message/email from our recruitment team (typically within 1–2 days).