Remote Machine Learning Engineer

Remote Machine Learning Job Openings on Indeed India This aggregated listing features 627+ remote machine learning job opportunities from top global and domestic technology employers including Microsoft Azure, Google, and leading Indian tech firms. All roles offer full work-from-home flexibility, with no mandatory on-site attendance requirements. Positions span entry-level to senior and leadership tracks, with specializations covering natural language processing, computer vision, predictive analytics, MLOps, and generative AI development. Core responsibilities for these roles include designing, testing, and optimizing production-ready machine learning models, building scalable AI pipelines, and collaborating with cross-functional teams to deploy models that solve core business problems. Employers offer competitive salary packages, health benefits, and professional development opportunities for successful candidates. All applications are submitted directly through the Indeed platform, with access to verified employer reviews, transparent salary ranges, and application tracking tools to support your job search process.

• Bachelor’s or higher degree in Computer Science, Data Science, Statistics, Mathematics, or a related technical field, or equivalent demonstrated professional experience in machine learning
• Proficiency in programming languages commonly used for ML development, including Python, R, or Java, with experience using libraries such as TensorFlow, PyTorch, Scikit-learn, or equivalent
• Strong foundational knowledge of core machine learning concepts including supervised/unsupervised learning, neural networks, model evaluation metrics, and hyperparameter tuning
• Hands-on experience designing, testing, and optimizing production-grade machine learning models for real-world business use cases
• Familiarity with cloud-based machine learning platforms, including Microsoft Azure Machine Learning, Google Vertex AI, AWS SageMaker, or equivalent services
• Ability to work independently in a fully remote environment, with strong written and verbal communication skills for cross-functional collaboration
• Optional specialized experience in areas such as natural language processing, computer vision, generative AI, MLOps, or predictive analytics for senior and niche roles