Job Description

Responsibilities • You will collaborate closely with cross-functional teams including product managers, software engineers, and data scientists to ensure the seamless integration of machine learning capabilities into our solutions • Design, develop, and optimize RAG (Retrieval-Augmented Generation) models to facilitate effective information retrieval and generation in conversational AI systems • Utilize vector databases and advanced indexing techniques to efficiently store and retrieve relevant information for conversational contexts • Fine-tune and optimize large language models such as Cohere for specific use cases in the technology, Construction & utilities domain. • Implement and experiment with cutting-edge NLP, NLU, and NLG techniques to enhance the capabilities and performance of our conversational AI products • Collaborate with software engineers to integrate machine learning models into production systems, ensuring scalability, reliability, and performance • Conduct research and stay abreast of the latest advancements in machine learning, NLP, and conversational AI to drive innovation and maintain competitive advantage • Provide technical leadership and mentorship to junior members of the machine learning team, fostering a culture of continuous learning and growth Job description • We are Technology company building new products to solve industries problems specifically in Construction & utilities. Our mission is to enhance customer experience, streamline operations, and drive growth. • We're seeking a highly skilled Senior Machine Learning Engineer to join our passionate team and contribute to the development of cutting-edge RAG models and large language models, leveraging advanced techniques in Natural Language Processing (NLP), Natural Language Understanding (NLU), and Natural Language Generation (NLG). • As a Senior Machine Learning Engineer specializing in Conversational AI, you will play a pivotal role in architecting, developing, and deploying state-of-the-art models to power our conversational AI product suite. • You will collaborate closely with cross-functional teams including product managers, software engineers, and data scientists to ensure the seamless integration of machine learning capabilities into our solutions.

Key Responsibilities: • Design, develop, and optimize RAG (Retrieval-Augmented Generation) models to facilitate effective information retrieval and generation in conversational AI systems. • Utilize & build vector databases and advanced indexing techniques to efficiently store and retrieve relevant information for conversational contexts. • Fine-tuned and optimized use of large language models such as Cohere for specific use cases in the technology & Industries (Construction, Utilities) domain. • Implement and experiment with cutting-edge NLP, NLU, and NLG techniques to enhance the capabilities and performance of our conversational AI products. • Collaborate with software engineers to integrate machine learning models into production systems, ensuring scalability, reliability, and performance. • Conduct research and stay abreast of the latest advancements in machine learning, NLP, and conversational AI to drive innovation and maintain competitive advantage. • Provide technical leadership and mentorship to junior members of the machine learning team, fostering a culture of continuous learning and growth.

Qualifications: • Master's degree or higher in Computer Science, Engineering, Mathematics, or related field. Advanced degree preferred. • 5+ years of experience in machine learning engineering, with a focus on building and deploying conversational AI solutions. • Proven expertise in developing RAG models, working with vector databases, and fine-tuning large language models. • Strong programming skills in Python and proficiency with machine learning libraries such as TensorFlow, PyTorch, or JAX. • Experience with cloud platforms (e.g., AWS, OCI) and containerization technologies (e.g., Docker, Kubernetes). • Solid understanding of NLP fundamentals and experience with NLU/NLG techniques such as sentiment analysis, entity recognition, and text generation. • Excellent problem-solving abilities and a pragmatic approach to building scalable and robust machine learning systems. • Strong communication skills with the ability to collaborate effectively with cross-functional teams and articulate complex technical concepts to non-technical stakeholders • Experience with OCI/AWS and related services is desirable.

Career Level - IC3

Responsibilities

Responsibilities

• You will collaborate closely with cross-functional teams including product managers, software engineers, and data scientists to ensure the seamless integration of machine learning capabilities into our solutions

• Design, develop, and optimize RAG (Retrieval-Augmented Generation) models to facilitate effective information retrieval and generation in conversational AI systems

• Utilize vector databases and advanced indexing techniques to efficiently store and retrieve relevant information for conversational contexts

• Fine-tune and optimize large language models such as Cohere for specific use cases in the technology, Construction & utilities domain.

• Implement and experiment with cutting-edge NLP, NLU, and NLG techniques to enhance the capabilities and performance of our conversational AI products

• Collaborate with software engineers to integrate machine learning models into production systems, ensuring scalability, reliability, and performance

• Conduct research and stay abreast of the latest advancements in machine learning, NLP, and conversational AI to drive innovation and maintain competitive advantage

• Provide technical leadership and mentorship to junior members of the machine learning team, fostering a culture of continuous learning and growth

Job description

• We are Technology company building new products to solve industries problems specifically in Construction & utilities. Our mission is to enhance customer experience, streamline operations, and drive growth.

• We're seeking a highly skilled Senior Machine Learning Engineer to join our passionate team and contribute to the development of cutting-edge RAG models and large language models, leveraging advanced techniques in Natural Language Processing (NLP), Natural Language Understanding (NLU), and Natural Language Generation (NLG).

• As a Senior Machine Learning Engineer specializing in Conversational AI, you will play a pivotal role in architecting, developing, and deploying state-of-the-art models to power our conversational AI product suite.

• You will collaborate closely with cross-functional teams including product managers, software engineers, and data scientists to ensure the seamless integration of machine learning capabilities into our solutions.

Key Responsibilities:

• Design, develop, and optimize RAG (Retrieval-Augmented Generation) models to facilitate effective information retrieval and generation in conversational AI systems.

• Utilize & build vector databases and advanced indexing techniques to efficiently store and retrieve relevant information for conversational contexts.

• Fine-tuned and optimized use of large language models such as Cohere for specific use cases in the technology & Industries (Construction, Utilities) domain.

• Implement and experiment with cutting-edge NLP, NLU, and NLG techniques to enhance the capabilities and performance of our conversational AI products.

• Collaborate with software engineers to integrate machine learning models into production systems, ensuring scalability, reliability, and performance.

• Conduct research and stay abreast of the latest advancements in machine learning, NLP, and conversational AI to drive innovation and maintain competitive advantage.

• Provide technical leadership and mentorship to junior members of the machine learning team, fostering a culture of continuous learning and growth.

Qualifications:

• Master's degree or higher in Computer Science, Engineering, Mathematics, or related field. Advanced degree preferred.

• 5+ years of experience in machine learning engineering, with a focus on building and deploying conversational AI solutions.

• Proven expertise in developing RAG models, working with vector databases, and fine-tuning large language models.

• Strong programming skills in Python and proficiency with machine learning libraries such as TensorFlow, PyTorch, or JAX.

• Experience with cloud platforms (e.g., AWS, OCI) and containerization technologies (e.g., Docker, Kubernetes).

• Solid understanding of NLP fundamentals and experience with NLU/NLG techniques such as sentiment analysis, entity recognition, and text generation.

• Excellent problem-solving abilities and a pragmatic approach to building scalable and robust machine learning systems.

• Strong communication skills with the ability to collaborate effectively with cross-functional teams and articulate complex technical concepts to non-technical stakeholders

• Experience with OCI/AWS and related services is desirable.

About Us

As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s problems. True innovation starts with diverse perspectives and various abilities and backgrounds.

When everyone’s voice is heard, we’re inspired to go beyond what’s been done before. It’s why we’re committed to expanding our inclusive workforce that promotes diverse insights and perspectives.

We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity.

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Disclaimer:

Oracle is an Equal Employment Opportunity Employer*. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

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