Machine Learning Engineer (Remote)

We are seeking experienced Machine Learning Engineers to fill remote roles across India, requiring 6 to 11 years of professional experience in designing, building, and scaling machine learning systems. In this position, you will own the end-to-end ML pipeline lifecycle, from data preprocessing and feature engineering to model training, validation, and productionization. Key responsibilities include ensuring high data quality across training and inference datasets, implementing robust monitoring systems to track deployed model performance and drift, and optimizing model latency and throughput for production use cases. You will collaborate cross-functionally with data scientists, software engineers, and product teams to translate business requirements into scalable, high-impact ML solutions, and contribute to the development of internal MLOps tooling and best practices. The role offers full remote work flexibility, with opportunities to work on high-impact projects across domains including e-commerce, fintech, and SaaS. You will have access to cutting-edge ML infrastructure, including cloud-based GPU clusters, MLOps platforms, and large-scale labeled datasets to support your work. This senior-level role is ideal for engineers passionate about solving complex real-world problems with machine learning and building production-grade AI systems.

• 6 to 11 years of professional experience in machine learning engineering, data science, or a related technical role
• Strong proficiency in Python and core ML frameworks including TensorFlow, PyTorch, or Scikit-learn
• Proven track record of building, deploying, and maintaining production-grade machine learning models at scale
• Hands-on experience with data quality management, including data validation, cleaning, and preprocessing for ML use cases
• Experience implementing model monitoring systems to track performance, drift, and reliability in production environments
• Familiarity with MLOps tools and practices, including CI/CD for ML, model versioning, and containerization (Docker, Kubernetes)
• Solid understanding of core machine learning concepts, including supervised/unsupervised learning, deep learning, and model evaluation metrics
• Excellent problem-solving skills and ability to collaborate effectively with cross-functional teams in a remote work setting
• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related technical field (preferred)