Senior ML Systems Engineer - Remote Opportunity

About the Role

We are seeking a talented Senior ML Systems Engineer to join our dynamic team at Coders Connect. This Senior ML Systems Engineer remote position combines advanced machine learning infrastructure expertise with strong systems engineering capabilities to deliver scalable, production-ready AI solutions. You will play a crucial role in building high-performance platforms that enable the training, evaluation, and deployment of cutting-edge models across large multimodal datasets, directly impacting real-world applications in a rapidly evolving domain.

What You'll Do

• Design, build, and optimize the infrastructure that powers large-scale machine learning workflows.
• Develop and optimize ML training infrastructure and data pipelines using modern distributed frameworks.
• Create tools and systems for dataset inspection, model evaluation, and experimentation workflows.
• Own and optimize production inference pipelines, including GPU utilization and parallelization strategies.
• Collaborate with research teams to productionize models and improve training efficiency.
• Ensure scalability, reliability, and performance across the ML platform.
• Implement best practices for monitoring, testing, and system observability.
• Contribute to architectural decisions and continuously improve platform design.
• Work in Agile environments and maintain clear technical documentation.

Requirements

• Proven experience building production ML systems or ML infrastructure.
• Strong programming skills in Python and at least one robust production language such as C++, Java, or Scala.
• Experience with distributed computing frameworks and large-scale data processing.
• Hands-on experience with ML frameworks such as PyTorch and tools for scaling training workloads.
• Familiarity with modern data platforms and technologies such as Spark, Ray, or similar.
• Strong understanding of system design, scalability, and performance optimization.
• Product mindset with the ability to solve complex problems autonomously.
• Excellent communication skills and ability to collaborate with research and engineering teams.

Nice to Have

• Experience working with high-performance compute environments and GPU-based systems.

What We Offer

• Competitive base salary aligned to experience.
• Equity package with strong growth potential.
• Visa sponsorship available.
• Hybrid working model with flexibility.
• Opportunity to own and shape the ML infrastructure behind cutting-edge AI systems.
• Work closely with highly technical teams on complex, high-impact challenges.
• Join a team that values autonomy, technical excellence, and continuous improvement.