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    Home/Jobs/Remote ML Engineer

    Remote ML Engineer

    Turing

    Noida
    3+ years
    Today
    ₹12–22 LPA
    Contract
    Remote

    Skills Required

    Machine Learning
    Python
    Model training
    Model evaluation
    Inference pipelines
    PyTorch
    TensorFlow
    JAX
    Supervised learning
    Unsupervised learning
    Evaluation metrics
    Optimization

    Description

    Turing is a leading AI research accelerator seeking experienced Machine Learning Engineers to work on benchmark-driven evaluation projects involving real-world ML systems.

    Company: Turing

    Role: Remote ML Engineer

    Location: Noida, Uttar Pradesh, India | 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 MLE Bench–style 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 standards of engineering quality
    • Collaborate with researchers and engineers to design challenging, real-world ML engineering tasks for AI system evaluation

    Additional responsibilities:

    • Bridge research and engineering by working deeply with models, data, and infrastructure in realistic ML environments

    Other:

    • Work in a fully remote environment
    • Opportunity to work on cutting-edge AI projects with leading LLM companies
    • Commitments required: at least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST
    • Engagement type: Contractor assignment (no medical/paid leave)
    • Duration of contract: 3 months (adjustable based on engagement)
    • Excellent spoken and written English communication skills

    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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