Machine Learning Engineer – Part-Time (Remote | $14/hr, India)

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Work Mode

Remote

Job Type

Part Time

Job Description

Machine Learning Engineer – India

Hourly Contract | Remote (India) | $14 per hour + Weekly Bonuses ($500 –$1000)

1. About the Role

leading AI lab

ML research, systems engineering, and AI behavior

If you’re passionate about deep learning, reinforcement learning, and scalable systems that drive the next generation of AI intelligence — this is your opportunity to help shape the future.

2. Key Responsibilities

  • Design and implement

    scalable ML pipelines

    for model training, evaluation, and continuous optimization.
  • Build and fine-tune

    deep learning models

    for reasoning, code generation, and real-world decision-making.
  • Collaborate with data scientists to

    collect, preprocess, and validate datasets

    ensuring quality and representativeness.
  • Develop and maintain

    benchmarking frameworks

    to assess model reasoning, speed, and accuracy.
  • Implement

    reinforcement learning loops

    and agent self-improvement mechanisms.
  • Optimize inference speed, memory utilization, and compute efficiency with systems engineers.
  • Maintain

    model reproducibility and version control

    through integrated experiment tracking.
  • Contribute to

    cross-functional AI research efforts

    , improving fine-tuning, generalization, and learning strategies.

3. Ideal Qualifications

  • Strong background in

    machine learning, deep learning, or reinforcement learning

    .
  • Proficient in

    Python

    and ML frameworks such as

    PyTorch

    ,

    TensorFlow

    , or

    JAX

    .
  • Solid understanding of

    distributed training

    ,

    GPU/TPU optimization

    , and

    data pipeline architecture

    .
  • Hands-on experience with

    MLOps tools

    such as Weights & Biases, MLflow, Docker, Kubernetes, or Airflow.
  • Experience designing or fine-tuning

    transformers, diffusion models, or custom architectures

    .
  • Analytical mindset with a focus on

    performance, generalization, and bias evaluation

    .
  • Curiosity about

    AI agents

    and their potential for autonomous reasoning and decision-making.

4. Primary Goal of the Role

develop, optimize, and deploy

autonomous intelligence

5. Why This Role Is Exciting

  • Build the

    core learning infrastructure

    powering next-generation AI agents.
  • Combine ML research, engineering, and systems optimization in a single, high-impact role.
  • Solve uncharted technical challenges around

    reasoning, planning, and adaptability

    .
  • Collaborate with a

    world-class AI research team

    redefining how autonomous systems learn and evolve.

6. Pay & Work Structure

  • Hourly Rate:

    $14/hour (India-based contractors)
  • Weekly Bonuses:

    $500–$1000 per 5 tasks created and approved
  • Type:

    Independent Contractor (via Mercor)
  • Schedule:

    Part-time (20–40 hours/week)
  • Work Environment:

    Fully remote and asynchronous — flexible schedule
  • Payments:

    Weekly via

    Stripe Connect

    based on hours logged

PS: Mercor reviews applications daily. Please complete your interview and onboarding steps to be considered for this opportunity.

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