Machine Learning Engineer (Remote)

We are seeking talented Machine Learning Engineers to join leading technology companies offering remote positions based in Bengaluru. As an ML Engineer, you will design, build, and deploy scalable machine learning models that power innovative products and services. You will collaborate with cross-functional teams including data scientists, software engineers, and product managers to translate business requirements into robust ML solutions.

Key responsibilities include:

• Developing and optimizing ML pipelines for training, evaluation, and deployment
• Implementing state-of-the-art algorithms for classification, regression, NLP, computer vision, or recommendation systems
• Conducting experiments, A/B testing, and model monitoring to ensure performance in production
• Building reusable ML components and contributing to internal ML platforms
• Staying current with ML research and applying relevant advances to real-world problems

This remote role offers flexibility to work from anywhere in Bengaluru while collaborating with global teams. You will have access to large-scale datasets, modern ML infrastructure (Kubeflow, MLflow, cloud GPUs), and opportunities to publish research. Companies range from fast-growing startups to established enterprises in fintech, e-commerce, healthtech, and cybersecurity.

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or related field
• 3+ years of professional experience building and deploying ML models in production
• Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, scikit-learn)
• Experience with MLOps tools (Docker, Kubernetes, MLflow, Kubeflow, CI/CD for ML)
• Solid understanding of data structures, algorithms, and software engineering best practices
• Familiarity with cloud platforms (AWS, GCP, Azure) and distributed computing (Spark, Ray)
• Excellent problem-solving skills and ability to communicate complex technical concepts
• Experience with NLP, computer vision, or time-series forecasting is a plus
• Contributions to open-source ML projects or publications in top-tier venues are advantageous