Role overview
Hiring: W2 Candidates Only Visa: Open to any visa type with valid work authorization in the USA
Summary:
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.