[Remote] Machine Learning Engineer

NetSuite is a company that focuses on delivering cloud solutions, and they are seeking a Machine Learning Engineer to build scalable and reliable ML systems. The role involves collaborating with cross-functional teams to develop AI/ML capabilities, particularly in Generative AI and Conversational AI solutions.

Responsibilities:

• 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 tools & OCI platform to develop reusable, highly performant machine learning systems with low-latency serving and reliable means to update/re-train ML models
• Work collaboratively with cross-functional partners including product managers, operations, and data scientists, identify opportunities for business impact, understand and prioritize requirements 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
• Ensures quality of work through development standards and QA procedures
• Keen on improvising technical solutions and processes emphasizing discovery through doing, iteration, and feedback loops

Requirements:

• 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 tools & OCI platform to develop reusable, highly performant machine learning systems with low-latency serving and reliable means to update/re-train ML models
• Work collaboratively with cross-functional partners including product managers, operations, and data scientists, identify opportunities for business impact, understand and prioritize requirements 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
• Ensures quality of work through development standards and QA procedures
• Keen on improvising technical solutions and processes emphasizing discovery through doing, iteration, and feedback loops