People Prime Worldwide
Website:
people-prime.com
Job details:
About Company:
Our client is a French multinational information technology (IT) services and consulting company, headquartered in Paris, France. Founded in 1967, It has been a leader in business transformation for over 50 years, leveraging technology to address a wide range of business needs, from strategy and design to managing operations. The company is committed to unleashing human energy through technology for an inclusive and sustainable future, helping organizations accelerate their transition to a digital and sustainable world. They provide a variety of services, including consulting, technology, professional, and outsourcing services.
Job Description:
Job Title: ML Engineers
Location: India
Experience: 2+ years
Employment Type: Contract to hire
Work Mode: Remote
Notice Period: - Immediate joiners
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.
- 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.
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 model training, evaluation, and inference pipelines.
- Solid understanding of 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.
Click on Apply to know more.