Machine Learning Engineer (Remote | $14/hr)

A global AI talent platform matches specialized engineering talent with leading research labs focused on autonomous intelligent systems. Work centers on developing large-scale models that power adaptive, reasoning-based AI agents for real-world environments.

Position: Machine Learning Engineer India

Type: Hourly Contract

Compensation: $14/hour

Location: India (India-based applicants only)

Commitment: Flexible; part-time hours vary by project

Primary Objective

Develop, optimize, and deploy large-scale machine learning systems that enhance agent reasoning, learning efficiency, and real-time adaptability. The work includes designing architectures, training pipelines, and evaluation frameworks that advance the frontier of autonomous intelligence.

Role Responsibilities

• Design and implement scalable ML pipelines for training, evaluation, and continuous improvement
• Build and fine-tune deep learning models for reasoning, code generation, and real-world decision-making tasks
• Collaborate with data scientists to collect and preprocess training datasets
• Develop benchmarking tools to assess model performance across dimensions such as reasoning, accuracy, and speed
• Implement reinforcement learning loops and self-improvement mechanisms for agent training
• Work with systems engineers to optimize inference speed, memory utilization, and hardware performance (GPU/TPU)
• Maintain reproducibility, version control, and experiment tracking within MLOps frameworks
• Contribute to research efforts focused on architecture design, fine-tuning, and generalization performance

Qualifications

Must-Have

• Strong background in machine learning, deep learning, or reinforcement learning
• Proficiency in Python and familiarity with PyTorch, TensorFlow, and/or JAX
• Understanding of distributed training, GPU/TPU infrastructure, and data pipeline optimization
• Experience building end-to-end ML systems (preprocessing training evaluation deployment)
• Familiarity with MLOps tools (e.g., Weights & Biases, MLflow, Docker, Kubernetes, Airflow)
• Ability to analyze model performance using data-driven experimentation
• Strong critical thinking about generalization, bias, sample efficiency, and failure cases
• Curiosity about autonomous agents and human-like reasoning models
• Residency in India (required for this listing)

Why This Role Stands Out

• Build core learning systems that power next-generation autonomous agents
• Blend ML research, engineering, and systems-level optimization in a single role
• Work on novel problems at the intersection of reasoning, planning, and adaptation
• Be part of high-impact R&D shaping autonomous intelligence

Compensation & Work Structure

• Hourly rate: $14/hour
• Weekly performance bonus: $500$1000 per 5 tasks created
• Part-time contract, hours vary by project

Application Process (Takes 2030 mins to complete)

1. Upload resume
2. AI interview based on your resume
3. Submit form