Hirely is recruiting Machine Learning Engineers on behalf of a hiring partner. You'll contribute to AI training projects involving model development, training and inference systems, numerical computing, performance optimization, and Python.

The work focuses on building, solving, reviewing, and validating challenging machine-learning engineering tasks for advanced AI systems. You may work on model components, training or inference pipelines, performance optimization, debugging, and objective testing.

What You'll Do

- Develop and validate machine-learning models, training pipelines, and inference systems
- Implement model components, data pipelines, evaluation systems, and numerical methods
- Build reproducible programmatic workflows using Python and command-line tools
- Work with tensor operations, automatic differentiation, model architectures, tokenization, batching, and generation
- Optimize training and inference workloads for latency, throughput, memory usage, and hardware utilization
- Diagnose numerical instability, incorrect tensor behavior, memory bottlenecks, distributed-system failures, and performance regressions
- Compare model implementations and determine whether results are correct and reproducible
- Review AI-generated code and technical solutions for correctness, efficiency, and engineering quality
- Design objective tests, benchmarks, and verification criteria
- Document technical decisions, trade-offs, limitations, and failure modes

Who We're Looking For

- Master's degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a related quantitative field
- Strong professional or research experience in machine learning
- Strong proficiency in Python
- Meaningful experience with at least two up-to-date ML frameworks,



libraries, or inference tools
- Strong understanding of model training, evaluation, numerical computation, or inference
- Ability to debug ML systems beyond surface-level API usage
- Experience building reproducible technical workflows
- Strong understanding of performance optimization and ML system behavior
- Ability to clearly explain implementation decisions, technical trade-offs, and failure modes
- Experience at a recognized technology company, AI laboratory, research organization, or comparable engineering environment is strongly preferred
- Exceptional open-source or academic experience may also qualify

Relevant Technologies

- PyTorch, JAX, NumPy, SciPy, SGLang, vLLM, llama.cpp, Hugging Face Transformers, Hugging Face Tokenizers
- Equivalent tools may also be considered when candidates demonstrate directly relevant technical depth.

Compensation & Terms

- $100-150/hour , independent contractor
- Fully remote
- Approximately 15 hours/week
- Flexible schedule
- Output-based compensation; experts are paid per qualifying task
- Minimum submission requirements apply
- Projects may vary based on workload and performance
- Candidates should be ready to begin shortly after completing onboarding

How To Apply Apply through the link. The process includes:

- Screening questions
- Approximately 30-minute AI interview
- Technical assessment, if required
- Hiring manager review

About Hirely Hirely connects professionals with remote opportunities from hiring partners across artificial intelligence, software engineering, cloud, data, research and other specialised fields. Hirely acts as a recruitment and talent-sourcing partner for the hiring companies it represents. Final hiring decisions, onboarding, compensation and project assignments are determined by the hiring partner.

📌 ML Engineer | $100-150/hr (India)
🏢 Hirely
📍 India