4 Knowledge Engineering Jobs

At CommBank, we are dedicated to enhancing the financial well-being of individuals and businesses by assisting them in making informed financial decisions and achieving their goals and aspirations. Regardless of your role within our organization, your initiative, talent, ideas, and energy are all valuable contributions to the positive impact we strive to make through our work. Together, we can accomplish remarkable things. We are currently seeking a Principal Software Engineer - GenAI to join our team in Bengaluru at Manyata Tech Park. As part of the Gen AI Domain, you will play a pivotal role in developing tools and capabilities that leverage Generative AI technology to address key needs within the group. Specifically, you will be involved in leading the Transformer Banking initiative. In this role, your primary responsibility will be to utilize your advanced technical expertise in engineering principles and practices within the Gen AI platform to drive business outcomes. By providing core technology and domain knowledge, you will support the technical strategy of the team and lead the design of solutions for complex challenges within Gen AI. This position offers the opportunity to be at the forefront of AI innovation within Australia's largest bank and fintech sector, shaping the future of banking with cutting-edge Gen AI solutions. Key Responsibilities: - Act as a thought and technology leader, providing technical guidance and overseeing engineering projects across AWS, Azure, AI, and ML development. - Champion strategic practice development within the Gen AI domain and mentor team members on design and technical aspects. - Build Gen AI capability among engineers through Knowledge Engineering, Prompt Engineering, and Platform Engineering. - Stay updated on advancements in generative AI, suggest best practices for infrastructure design, and ensure clear documentation of AI/ML/LLM processes. - Collaborate with other teams to integrate AI solutions into existing workflows and systems, ensuring scalability, reliability, and high availability. - Implement security best practices, monitoring systems, and Responsible AI guardrails to safeguard the platform and ensure data privacy and governance. Essential Skills: - Minimum 12 years of experience with a strong background in tech delivery and cross-cultural communication. - Proficiency in IT SDLC processes, written documentation, and key capabilities such as Prompt Engineering, Platform Engineering, and Knowledge Engineering. - Track record of building and leading engineering teams and exposure to cloud solutions, Gen AI frameworks, databases, and machine learning. Education Qualifications: - Bachelors/Masters degree in Engineering in Computer Science/Information Technology. If you are part of the Commonwealth Bank Group and interested in this opportunity, please apply through Sidekick. We are committed to supporting you in advancing your career. For any accessibility support, please contact HR Direct at 1800 989 696. Join us in shaping the future of banking through innovative Gen AI solutions!,

As a Digital Product Engineering company, Nagarro is currently seeking a professional with over 5 years of experience in the field to join our team. The ideal candidate should possess a deep understanding of Generative AI fundamentals and transformer-based architectures along with a strong experience in Cloud Architecture for deploying scalable AI systems using platforms such as AWS, Azure, or GCP. The successful candidate will have hands-on experience working with Generative AI models, particularly in Azure AI, and should be familiar with BERT, GPT, LLaMA, and similar LLMs. Proficiency in prompt engineering, RAG techniques, and fine-tuning and deploying models using frameworks like Hugging Face Transformers or LangChain is also required. Additionally, experience with multi-agent AI systems, collaborative model workflows, Python, machine learning libraries (e.g., PyTorch, TensorFlow), and integrating models into enterprise platforms and APIs is essential. Responsibilities for this role include understanding clients" business use cases and technical requirements, translating them into technical designs, mapping decisions with requirements, identifying and narrowing down solutions that best meet client requirements, defining guidelines and benchmarks for NFR considerations, writing and reviewing design documents, reviewing architecture and design for various aspects, developing and designing solutions for defined requirements, and resolving issues raised during code reviews through systematic analysis. Qualifications for this position include a Bachelor's or Master's degree in Computer Science, Information Technology, or a related field. If you are passionate about AI, NLP, and Knowledge Engineering and possess the required skills and experience, we invite you to join our dynamic and non-hierarchical work culture at Nagarro.,

Join the leader in entertainment innovation and help design the future at Dolby where science meets art and high tech goes beyond computer code. As a member of the Dolby team, you will witness the impact of your work in various mediums, from movie theaters to smartphones. Dolby continues to revolutionize how people create, deliver, and enjoy entertainment globally, requiring the absolute best talent. The company offers a supportive culture, engaging projects, and competitive compensation and benefits. This position is based in Bangalore with a blend of office and work-from-home flexibility. As a Senior Research Leader in Dolby's Advanced Technology Group (ATG) at the new R+D Center in Bangalore, you will be a key player in driving innovation. The ATG is Dolby Labs" research and technology hub focusing on advancements in audio, video, AR/VR, and multimodal technologies applied to various industries. Your expertise in computer science and electrical engineering, particularly in AI/ML, computer vision, image processing, and other related fields, will be instrumental in the research endeavors. Your responsibilities within Dolby ATG research will encompass three main areas: 1. State-of-the-art Research: - Conduct hands-on research to pioneer AI-based multimodal image, audio, and speech technologies. - Utilize the latest AI advancements to explore applications in multimedia technologies, enhancing video and audio delivery, analysis, classification, and separation for Dolby's future offerings. 2. Talent Management: - Lead and mentor a group of AI researchers specializing in multimodal analysis, processing, playback, and enhancement technologies. - Develop and nurture junior researchers to work independently, fostering a collaborative and innovative work environment. 3. Technology Strategy: - Define and drive research initiatives focusing on cross-media intelligence, developing multimodal machine learning algorithms, and leveraging multimodal perception for multimedia technology advancements. - Collaborate with global research teams to set technology directions, project identification, and the development of AI-based technologies for Dolby's cloud and licensing business. Education And Desired Experience: - Ph.D. with 8 years of corporate research experience in Physics, Electrical Engineering, Mathematics, or Computer Science with a strong AI focus. - Proficiency in AI technologies with expertise in network architectures, data augmentation, and preparation, NLP, and multi-modal architectures. - Track record of successfully applying AI technologies to multimodal problems and productizing novel AI-based technologies. - Strong publication record and expertise in statistical signal processing, machine learning algorithms, and GPU/CPU implementations. - Proficiency in C/C++, Python, TensorFlow or PyTorch, and experience in managing and mentoring researchers. - Strong communication, collaboration, and presentation skills in English. Join Dolby's vibrant team in Bangalore to drive cutting-edge research and be at the forefront of technology innovation in the entertainment industry.,

The Role : The Knowledge Engineering team are seeking a Lead Knowledge Engineer to support our strategic transformation from a traditional data organization into a next generation interconnected data intelligence organization. The Team : The Knowledge Engineering team within data strategy and governance helps to lead fundamental organizational and operational change driving our linked data, open data, and data governance strategy, both internally and externally. The team partners closely with data and software engineering to envision and build the next generation of data architecture and tooling with modern technologies. The Impact : Knowledge Engineering efforts occur within the broader context of major strategic initiatives to extend market leadership and build next-generation data, insights and analytics products that are powered by our world class datasets. Whats in it for you : The Lead Knowledge Engineer role is an opportunity to work as an individual contributor in creatively solving complex challenges alongside visionary leadership and colleagues. Its a role with highly visible initiatives and outsized impact. The wider division has a great culture of innovation, collaboration, and flexibility with a focus on delivery. Every person is respected and encouraged to be their authentic self. Responsibilities : Develop, implement, and continue to enhance ontologies, taxonomies, knowledge graphs, and related semantic artefacts for interconnected data, as well as topical/indexed query, search, and asset discovery Design and prototype data software engineering solutions enabling to scale the construction, maintenance and consumption of semantic artefacts and interconnected data layer for various application contexts Provide thought leadership for strategic projects ensuring timelines are feasible, work is effectively prioritized, and deliverables met Influence the strategic semantic vision, roadmap, and next-generation architecture Execute on the interconnected data vision by creating linked metadata schemes to harmonize semantics across systems and domains Analyze and implement knowledge organization strategies using tools capable of metadata management, ontology management, and semantic enrichment Influence and participate in governance bodies to advocate for the use of established semantics and knowledge-based tools Qualifications: Able to communicate complex technical strategies and concepts in a relatable way to both technical and non-technical stakeholders and executives to effectively persuade and influence 5+ years of experience with ontology development, semantic web technologies (RDF, RDFS, OWL, SPARQL) and open-source or commercial semantic tools (e.g., VocBench, TopQuadrant, PoolParty, RDFLib, triple stores); Advanced studies in computer science, knowledge engineering, information sciences, or related discipline preferred 3+ years of experience in advanced data integration with semantic and knowledge graph technologies in complex, enterprise-class, multi-system environment(s); skilled in all phases from conceptualization to optimization Programming skills in a mainstream programming language (Python, Java, JavaScript), with experience in utilizing cloud services (AWS, Google Cloud, Azure) is a great bonus Understanding of the agile development life cycle and the broader data management discipline (data governance, data quality, metadata management, reference and master data management)