Machine Learning Engineer

About us

At meshX, we're dedicated to revolutionizing how companies harness their data. Our innovative platform makes AI accessible and integrates seamlessly with various tech stacks, transforming data into actionable insights and streamlining business operations.

About you

You're a skilled machine learning engineer with expertise in designing, implementing, and deploying ML/AI solutions in production environments. You have a strong mathematical foundation and hands-on experience building models that solve real business problems. You're passionate about federated learning approaches and creating scalable AI systems across distributed environments.

What you bring to the table

• 5+ years of experience in applied machine learning
• Strong programming skills in Python, PySpark, TensorFlow, and PyTorch
• Experience with deep learning architectures
• Background in deploying ML models to production environments
• Experience with model tracking and versioning tools

Highly Desired Skills

• Experience with federated learning frameworks
• Knowledge of LLM fine-tuning and agentic AI development
• Expertise in MLOps and model serving platforms
• Experience with vector databases
• Knowledge of privacy-preserving ML techniques

You will be responsible for

• Designing ML solutions for our federated data platform
• Building predictive models and anomaly detection systems
• Developing federated learning approaches for distributed data
• Implementing model serving and deployment pipelines
• Researching cutting-edge ML techniques for performance improvements

What we offer Join us in shaping the future of distributed data architectures in a remote-first environment. Enjoy competitive compensation and the chance to work with cutting-edge technology.

How to Apply Please submit your resume and a brief description of AI applications or solutions you've developed, especially in aviation, construction or logistics space.