Freelance Machine Learning Engineer (India | $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 projectPrimary ObjectiveDevelop, 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 ResponsibilitiesDesign and implement scalable ML pipelines for training, evaluation, and continuous improvementBuild and fine-tune deep learning models for reasoning, code generation, and real-world decision-making tasksCollaborate with data scientists to collect and preprocess training datasetsDevelop benchmarking tools to assess model performance across dimensions such as reasoning, accuracy, and speedImplement reinforcement learning loops and self-improvement mechanisms for agent trainingWork with systems engineers to optimize inference speed, memory utilization, and hardware performance (GPU/TPU)Maintain reproducibility, version control, and experiment tracking within MLOps frameworksContribute to research efforts focused on architecture design, fine-tuning, and generalization performanceQualificationsMust-HaveStrong background in machine learning, deep learning, or reinforcement learningProficiency in Python and familiarity with PyTorch, TensorFlow, and/or JAXUnderstanding of distributed training, GPU/TPU infrastructure, and data pipeline optimizationExperience 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 experimentationStrong critical thinking about generalization, bias, sample efficiency, and failure casesCuriosity about autonomous agents and human-like reasoning modelsResidency in India (required for this listing)Why This Role Stands OutBuild core learning systems that power next-generation autonomous agentsBlend ML research, engineering, and systems-level optimization in a single roleWork on novel problems at the intersection of reasoning, planning, and adaptationBe part of high-impact R&D shaping autonomous intelligenceCompensation & Work StructureHourly rate: $14/hourWeekly performance bonus: $500–$1000 per 5 tasks createdPart-time contract, hours vary by projectApplication Process (Takes 20–30 mins to complete)Upload resumeAI interview based on your resumeSubmit form

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