[Remote] Machine Learning Engineer

Job summary

As a Machine Learning Engineer, you should be proficient in building distributed systems, containerization, orchestration, and cloud-native architectures, you will collaborate with cross-functional teams to build scalable, reliable, and production-ready ML systems.

Qualifications

• Ora*** is investing heavily in Generative AI, and as a ML Engineer, you must have a strong understanding and experience in leveraging the capabilities of Large Language Models.
• Your expertise will be pivotal in developing Conversational AI solutions and other cutting-edge Machine learning techniques to shape up and enhance users' experience with AI/ML/GenAI capabilities.
• into scalable solutions.
• Proficient in creating detailed design specifications and writing elegant code.
• Familiarity with Python, and ML frameworks such as PyTorch, TensorFlow, etc.
• is a must
• Lead the incubation of new initiatives, architect scalable solutions, and drive strategic technology choices to develop and deliver AI/ML capabilities for our customers.
• Develop high-quality, scalable, and efficient software solutions that integrate generative AI capabilities.
• Design, develop, test, and deploy Machine learning models, including large-language models and build pipelines at scale for batch and real-time use cases.
• Leverage third-party and in-house ML
• for machine learning systems and data pipelines, drive engineering decisions, and quantify impact.
• Communicate continually with the project teams, and explain progress on the development effort.

Responsibilities

• You will also partner with product managers, software engineers, and operation teams to leverage engineering innovations to simplify the business

Degrees

Company size