Business Analyst (Malay Language)

About Turing

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L

Role Overview

We are looking for experienced

Machine Learning Engineers (MLE Bench)

to contribute to benchmark-driven evaluation projects focused on real-world machine learning systems. This role involves hands-on work with production-grade ML codebases, model training and evaluation pipelines, and deployment-oriented workflows to help assess and improve the capabilities of advanced AI systems.The ideal candidate is comfortable bridging research and engineering, working deeply with models, data, and infrastructure in realistic ML environments.

What does day-to-day life look like?

• Work with real-world ML codebases to support

MLE Bench–style evaluation tasks

. • Build, run, and modify

model training, evaluation, and inference pipelines

. • Solid understanding of

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.

Requirements

• Minimum

3+ years

of overall experience as a

Machine Learning Engineer or Software Engineer (ML-focused)

. • Strong proficiency in

Python

for machine learning and data workflows. • Hands-on experience with

machine learning fundamentals

(supervised/unsupervised learning, evaluation metrics, optimization). • Experience working with

ML frameworks

(e.g., PyTorch, TensorFlow, JAX, or similar). • Ability to understand, navigate, and modify

complex, real-world ML codebases

. • Experience writing

readable, reusable, and maintainable production-quality code

. • Strong problem-solving and debugging skills. • Excellent spoken and written

English communication skills

.

Perks of Freelancing With Turing

• Work in a fully remote environment. • Opportunity to work on cutting-edge AI projects with leading LLM companies.

Offer Details

•

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) •

Location

India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, Brazil, Mexico

Evaluation Process

• Technical Interview with live coding challege (60 mins)