Role overview
Hirinh: A Machine Learning Engineer is responsible for designing, building, and deploying predictive models and AI-driven solutions that support business objectives. This role focuses on developing scalable machine learning systems, optimizing model performance, and integrating intelligent solutions into production applications.
What you'll work on
Knowledge of natural language processing (NLP), computer vision, deep learning, or reinforcement learning. Experience with cloud-based ML platforms and services (AWS SageMaker, Azure ML, Google AI Platform). Familiarity with MLOps tools for model deployment, monitoring, and versioning. Ability to translate complex business problems into effective machine learning solutions. Strong communication, collaboration, and stakeholder engagement skills. Experience with data pipelines, feature stores, and model lifecycle management.
For applications and inquiries, contact: hirings@openkyber.com
What we're looking for
Bachelor s or Master s degree in Data Science, Computer Science, Artificial Intelligence, or a related field. 3-5 years of hands-on experience in machine learning, AI, or advanced analytics roles. Proficiency in Python, R, and machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. Strong foundation in statistics, probability, and linear algebra. Experience working with large datasets and building production-grade ML systems.