7 Semantic Technologies Jobs

As a Data Science Engineer at the VP level in Bangalore, India, you will be responsible for leading the development of intelligent, autonomous AI systems. Your role will involve designing and deploying AI solutions that leverage technologies such as Retrieval-Augmented Generation (RAG), multi-agent frameworks, and hybrid search techniques to enhance enterprise applications. You will have the opportunity to design and develop agentic AI applications using frameworks like LangChain, CrewAI, and AutoGen to build autonomous agents capable of complex task execution. Additionally, you will implement RAG pipelines by integrating LLMs with vector databases (e.g., Milvus, FAISS) and knowledge graphs (e.g., Neo4j) to create dynamic, context-aware retrieval systems. You will also be responsible for fine-tuning language models, training NER models, developing knowledge graphs, collaborating cross-functionally, and optimizing AI workflows. To be successful in this role, you should have at least 13 years of professional experience in AI/ML development, proficiency in Python, Python API frameworks, SQL, and familiarity with frameworks such as TensorFlow or PyTorch. Experience in deploying AI models on cloud platforms (e.g., GCP, AWS) and knowledge of LLMs, SLMs, semantic technologies, ontologies, and MLOps tools and practices is essential. Additionally, you should be skilled in building and querying knowledge graphs, have hands-on experience with vector databases and embedding techniques, and be familiar with RAG architectures and hybrid search methodologies. You will receive support through training and development opportunities, coaching from experts in your team, and a culture of continuous learning to aid in your progression. The company promotes a positive, fair, and inclusive work environment, welcoming applications from all individuals. Join us at Deutsche Bank Group, where we strive for excellence together every day. For more information about our company and teams, please visit our website: https://www.db.com/company/company.htm,

Senior Software Engineer III Are you at an early stage of your career Do you desire to work in a practical domain About our Team:- Our team consists of software engineers, quality analysts and otologists from diverse backgrounds and cultures. We are mostly remote, located across different countries with a shared goal of creating powerful tools to help scientists make breakthroughs and health professionals improve lives. About the Role : This role is performed by an experienced professional and will undertake difficult research, design and software development assignments within a software functional area or product line, and provides direct input to project plans, schedules and methodology in the development of cross-functional software products under the guidance of more senior members of the squad Responsibilities Working closely with other Development team members to understand product requirements and translate them into software designs Writing and reviewing portions of detailed specifications for the development of system components Developing and maintaining the existing user interface and back-end systems Implementing development processes, coding best practices and code reviews Resolving technical issues as necessary Completing bug fixes and resolving technical issues Requirements BS Engineering/Computer Science or equivalent experience Solid Software development experience Proficiency in Java and the Spring Framework. Experience with Hibernate/JPA, Gradle, Docker is also desirable Experience with modern JavaScript frameworks (Angular, Typescript, some experience of React is also desirable) Experience of Semantic technologies, e.g. RDF, OWL, SPARQL, GRAPH DB would be desirable Experience of using RESTful web services, consuming common forms of data such as JSON The ability to design and build unit-tested, modular code and deploy and run it on local and cloud infrastructure Understanding of Agile software development process and unit testing and understanding of SOLID and Clean Coding principles Work in a Way That Works for You: We promote a healthy work/life balance and provide various well-being initiatives, shared parental leave, study assistance, and sabbaticals to help you meet both your immediate responsibilities and long-term goals. Working for You: We offer comprehensive benefits to support your health and well-being, including: Health insurance for you and your family. Enhanced health insurance options at competitive rates. Group life insurance for financial security. Group accident insurance for protection against accidental death and permanent disability. Flexible working arrangements for work-life balance. Employee assistance programs for personal and work-related support. Medical screenings to prioritize your well-being. Modern family benefits, including maternity, paternity, and adoption support. Long-service awards to recognize dedication. New baby gifts to celebrate parenthood. Subsidized meals at specific locations. Various paid time-off options, including casual leave, sick leave, privilege leave, compassionate leave, special sick leave, and public holidays. Free transportation for home-office-home travel in select locations. About the Business: Our organization is a global leader in information and analytics, aiding researchers and healthcare professionals in advancing science and improving health outcomes for society. We combine quality information and vast data sets with analytics to support visionary science, research, health education, interactive learning, and exceptional healthcare and clinical practice. At Elsevier, your work contributes to addressing the world's grand challenges and fostering a more sustainable future. We harness innovative technologies to support science and healthcare, partnering for a better world ----------------------------------------------------------------------- We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our or please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams . Please read our . We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. .

Data Science Engineer, VP Position Overview Job Title- Data Science Engineer, VP Location- Bangalore, India Role Description We are seeking a seasoned Data Science Engineer to spearhead the development of intelligent, autonomous AI systems. The ideal candidate will have a robust background in agentic AI, LLMs, SLMs, vector DB, and knowledge graphs. This role involves designing and deploying AI solutions that leverage Retrieval-Augmented Generation (RAG), multi-agent frameworks, and hybrid search techniques to enhance enterprise applications. What we'll offer you As part of our flexible scheme, here are just some of the benefits that you'll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities Design & Develop Agentic AI Applications:Utilise frameworks like LangChain, CrewAI, and AutoGen to build autonomous agents capable of complex task execution. Implement RAG Pipelines: Integrate LLMs with vector databases (e.g., Milvus, FAISS) and knowledge graphs (e.g., Neo4j) to create dynamic, context-aware retrieval systems. Fine-Tune Language Models:Customise LLMs (e.g., Gemini, chatgpt, Llama) and SLMs (e.g., Spacy, NLTK) using domain-specific data to improve performance and relevance in specialised applications. NER Models: Train OCR and NLP leveraged models to parse domain-specific details from documents (e.g., DocAI, Azure AI DIS, AWS IDP) Develop Knowledge Graphs: Construct and manage knowledge graphs to represent and query complex relationships within data, enhancing AI interpretability and reasoning. Collaborate Cross-Functionally:Work with data engineers, ML researchers, and product teams to align AI solutions with business objectives and technical requirements. Optimise AI Workflows:Employ MLOps practices to ensure scalable, maintainable, and efficient AI model deployment and monitoring. Your skills and experience 13+ years of professional experience in AI/ML development, with a focus on agentic AI systems. Proficient in Python, Python API frameworks, SQL and familiar with AI/ML frameworks such as TensorFlow or PyTorch. Experience in deploying AI models on cloud platforms (e.g., GCP, AWS). Experience with LLMs (e.g., GPT-4), SLMs (Spacy), and prompt engineering. Understanding of semantic technologies, ontologies, and RDF/SPARQL. Familiarity with MLOps tools and practices for continuous integration and deployment. Skilled in building and querying knowledge graphs using tools like Neo4j. Hands-on experience with vector databases and embedding techniques. Familiarity with RAG architectures and hybrid search methodologies. Experience in developing AI solutions for specific industries such as healthcare, finance, or e-commerce. Strong problem-solving abilities and analytical thinking. Excellent communication skills for cross-functional collaboration. Ability to work independently and manage multiple projects simultaneously. How we'll support you Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs About us and our teams Please visit our company website for further information: We strive for a in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

As a Senior Data Science Engineer Lead at our Bangalore location, you will be responsible for spearheading the development of intelligent, autonomous AI systems. Your role will involve leveraging technologies such as agentic AI, LLMs, SLMs, Vector DB, and knowledge graphs to design and deploy innovative AI solutions, focusing on enhancing enterprise applications. You will work as part of a cross-functional agile delivery team, bringing an innovative approach to software development and contributing to all stages of software delivery. In this position, you will design and develop agentic AI applications using frameworks like LangChain, CrewAI, and AutoGen to build autonomous agents capable of complex task execution. You will also implement RAG Pipelines by integrating LLMs with vector databases and knowledge graphs to create dynamic retrieval systems. Additionally, you will fine-tune language models, train NER models, develop knowledge graphs, collaborate cross-functionally, and optimize AI workflows using MLOps practices. To be successful in this role, you should have 15+ years of professional experience in AI/ML development, proficiency in Python, Python API frameworks, SQL, and AI/ML frameworks like TensorFlow or PyTorch. Experience with deploying AI models on cloud platforms, familiarity with semantic technologies, MLOps tools, vector databases, RAG architectures, and hybrid search methodologies is essential. Strong problem-solving abilities, analytical thinking, excellent communication skills, and the ability to work independently on multiple projects are also key requirements. We offer a range of benefits including best in class leave policy, parental leaves, reimbursement under childcare assistance benefit, sponsorship for certifications, employee assistance program, hospitalization insurance, accident and term life insurance, health screening, training, coaching, and a culture of continuous learning to support your career progression. Join us at our Bangalore location to be part of a collaborative team that strives for excellence every day. Visit our company website for more information about Deutsche Bank Group and our inclusive work environment. We welcome applications from all individuals who share our values of responsibility, initiative, and collaboration.,

As a dynamic global technology company, Schaeffler's success stems from its entrepreneurial spirit and long history of private ownership. Partnering with major automobile manufacturers, as well as key players in the aerospace and industrial sectors, we offer numerous development opportunities globally. Your key responsibilities include developing data pipelines and utilizing methods and tools to collect, store, process, and analyze complex data sets for assigned operations or functions. You will design, govern, build, and operate solutions for large-scale data architectures and applications across businesses and functions. Additionally, you will manage and work hands-on with big data tools and frameworks, implement ETL tools and processes, data virtualization, and federation services. Engineering data integration pipelines and reusable data services using cross-functional data models, semantic technologies, and data integration solutions is also part of your role. You will define, implement, and apply data governance policies for all data flows of data architectures, focusing on the digital platform and data lake. Furthermore, you will define and implement policies for data ingestion, retention, lineage, access, data service API management, and usage in collaboration with data management and IT functions. To qualify for this position, you should hold a Graduate Degree in Computer Science, Applied Computer Science, or Software Engineering with 3 to 5 years of relevant experience. Emphasizing respect and valuing diverse ideas and perspectives among our global workforce is essential to us. By fostering creativity through appreciating differences, we drive innovation and contribute to sustainable value creation for our stakeholders and society as a whole. Together, we are shaping the future with innovation, offering exciting assignments and outstanding development opportunities. We eagerly anticipate your application. For technical inquiries, please contact the following email address: technical-recruiting-support-AP@schaeffler.com. For more information and to apply, visit www.schaeffler.com/careers.,

You strive to be an essential member of a diverse team of visionaries dedicated to making a lasting impact. Don't pass up this opportunity to collaborate with some of the brightest minds in the field and deliver best-in-class solutions to the industry. As a Senior Lead Data Architect at JPMorgan Chase within the Consumer and Community Banking Data Technology, you are an integral part of a team that works to develop high-quality data architecture solutions for various software applications, platform, and data products. Drive significant business impact and help shape the global target state architecture through your capabilities in multiple data architecture domains. Represents the data architecture team at technical governance bodies and provides feedback regarding proposed improvements regarding data architecture governance practices. Evaluates new and current technologies using existing data architecture standards and frameworks. Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors. Design secure, high-quality, scalable solutions and reviews architecture solutions designed by others. Drives data architecture decisions that impact data product & platform design, application functionality, and technical operations and processes. Serves as a function-wide subject matter expert in one or more areas of focus. Actively contributes to the data engineering community as an advocate of firmwide data frameworks, tools, and practices in the Software Development Life Cycle. Influences peers and project decision-makers to consider the use and application of leading-edge technologies. Advises junior architects and technologists. Required qualifications, capabilities, and skills: - Formal training or certification on software engineering concepts and 5+ years of applied experience. - Advanced knowledge of architecture, applications, and technical processes with considerable in-depth knowledge in data architecture discipline and solutions (e.g., data modeling, native cloud data services, business intelligence, artificial intelligence, machine learning, data domain driven design, etc.). - Practical cloud-based data architecture and deployment experience, preferably AWS. - Practical SQL development experiences in cloud-native relational databases, e.g. Snowflake, Athena, Postgres. - Ability to deliver various types of data models with multiple deployment targets, e.g. conceptual, logical, and physical data models deployed as operational vs. analytical data stores. - Advanced in one or more data engineering disciplines, e.g. streaming, ELT, event processing. - Ability to tackle design and functionality problems independently with little to no oversight. - Ability to evaluate current and emerging technologies to select or recommend the best solutions for the future state data architecture. Preferred qualifications, capabilities, and skills: - Financial services experience, card and banking a big plus. - Practical experience in modern data processing technologies, e.g., Kafka streaming, DBT, Spark, Airflow, etc. - Practical experience in data mesh and/or data lake. - Practical experience in machine learning/AI with Python development a big plus. - Practical experience in graph and semantic technologies, e.g. RDF, LPG, Neo4j, Gremlin. - Knowledge of architecture assessments frameworks, e.g. Architecture Trade-off Analysis.,

You are a Data Science Engineer who will be contributing to the development of intelligent, autonomous AI systems. The ideal candidate should have a strong background in agentic AI, LLMs, SLMs, vector DB, and knowledge graphs. Your responsibilities will include deploying AI solutions that leverage technologies such as Retrieval-Augmented Generation (RAG), multi-agent frameworks, and hybrid search techniques to enhance enterprise applications. As part of the flexible scheme, you will enjoy various benefits such as a best-in-class leave policy, gender-neutral parental leaves, childcare assistance benefit reimbursement, sponsorship for industry-relevant certifications, employee assistance program, comprehensive hospitalization insurance, accident and term life insurance, and health screening. Your key responsibilities will involve designing and developing Agentic AI Applications using frameworks like LangChain, CrewAI, and AutoGen, implementing RAG Pipelines, fine-tuning Language Models, training NER Models, developing Knowledge Graphs, collaborating cross-functionally, and optimizing AI workflows. To excel in this role, you should have at least 4 years of professional experience in AI/ML development, proficiency in Python, Python API frameworks, SQL, and familiarity with AI/ML frameworks like TensorFlow or PyTorch. Experience in deploying AI models on cloud platforms, understanding of LLMs, SLMs, semantic technologies, and MLOps tools is required. Additionally, hands-on experience with vector databases, embedding techniques, and developing AI solutions for specific industries will be beneficial. You will receive support through training, coaching, and a culture of continuous learning to aid in your career progression. The company strives for a culture of empowerment, responsibility, commercial thinking, initiative, and collaboration. They promote a positive, fair, and inclusive work environment for all individuals. For further information about the company and its teams, please visit the company website at https://www.db.com/company/company.htm. Join a team that celebrates success and fosters a culture of excellence and inclusivity.,