About the job

Position: Machine Learning Engineer (India)

Type: Hourly contract

Compensation: $14/hour

Location: Remote

Commitment: Flexible, project-based

Role Responsibilities

Design, train, and deploy scalable machine learning systems supporting autonomous AI agents.
Build and fine-tune deep learning models for reasoning, code generation, and real-world decision-making tasks.
Develop end-to-end ML pipelines covering data preprocessing, feature extraction, training, evaluation, and deployment.
Implement reinforcement learning workflows and self-improving training loops to enhance agent adaptability.
Create benchmarking and evaluation tools to measure model accuracy, reasoning ability, and performance.
Collaborate with data scientists and systems engineers to optimize data quality, inference speed, and hardware utilization.
Maintain model reproducibility, version control, and experiment tracking using MLOps best practices.
Contribute to research efforts focused on improving learning efficiency, generalization, and model robustness.

Requirements

Strong foundation in machine learning, deep learning, or reinforcement learning.
Proficiency in Python and experience with ML frameworks such as PyTorch, TensorFlow, or JAX.
Understanding of training infrastructure, including GPUs/TPUs, distributed training, and data pipelines.
Experience building end-to-end ML systems from experimentation through deployment.
Familiarity with MLOps tools such as Weights & Biases, MLflow, Docker, Kubernetes, or Airflow.
Experience designing custom model architectures or working with transformer-based systems, LLMs, or diffusion models.
Ability to evaluate model performance critically using data-driven experimentation.
Interest in AI agents, autonomous reasoning, and collaborative model behavior.

Application Process (Takes 20 Min)

Machine Learning