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    Home/Jobs/Remote ML Engineer

    Remote ML Engineer

    Turing

    Delhi
    3+ years
    16 days ago
    ₹12–22 LPA
    Contract
    Remote

    Skills Required

    Machine Learning
    Python
    PyTorch
    TensorFlow
    JAX
    Model Training
    Model Evaluation
    Inference Pipelines
    ML Codebases
    Data Workflows
    Supervised Learning
    Unsupervised Learning
    Evaluation Metrics
    Optimization

    Description

    Turing is a leading AI research accelerator based in San Francisco, partnering with global enterprises to deploy advanced AI systems. They seek experienced Machine Learning Engineers to work on benchmark-driven evaluation projects involving real-world ML systems.

    Company: Turing

    Role: Machine Learning Engineer

    Location: Remote

    Experience:

    • Minimum 3+ years of overall experience as a Machine Learning Engineer or Software Engineer (ML-focused)

    Key Skills:

    • Python
    • Machine learning fundamentals
    • Model training
    • Model evaluation
    • Inference pipelines
    • ML frameworks (PyTorch, TensorFlow, JAX or similar)
    • Debugging
    • Production-quality code

    Role Focus: • Work with real-world ML codebases to support evaluation tasks • Build, run, and modify model training, evaluation, and inference pipelines • Prepare datasets, features, and metrics for ML benchmarking and validation • Debug, refactor, and improve production-like ML systems for correctness and performance • Evaluate model behavior, failure modes, and edge cases relevant to benchmark tasks • Write clean, reproducible, and well-documented Python code for ML workflows • Participate in code reviews to ensure high engineering quality • Collaborate with researchers and engineers to design challenging ML engineering tasks

    Other:

    • Work in a fully remote environment
    • Opportunity to work on cutting-edge AI projects with leading LLM companies
    • Contractor assignment with no medical or paid leave
    • Commitment of at least 4 hours per day and minimum 20 hours per week with 4 hours overlap with PST
    • Contract duration of 3 months, adjustable based on engagement

    Prepare for this role

    Recommended resources to build the skills for this position. Sponsored.

    Python for Everybody Specialization

    Coursera

    Learn Python from scratch — variables, data structures, web scraping, and databases.

    Python 3 Programming Specialization

    Coursera

    Intermediate Python covering classes, inheritance, APIs, and data processing.

    Deep Learning Specialization

    Coursera

    Five-course deep learning series covering CNNs, RNNs, transformers, and ML strategy.

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