17 Semantic Jobs

Requirements. Bachelor's or Master's in Computer Science or related field focused on language processing. 10+ years of experience in NLP with strong Python skills. Expertise in machine learning frameworks and LLMs like BERT, GPT. Deep understanding of NLP techniques for text representation, semantic extraction, data structures, and modeling. Experience in end-to-end product lifecycle: design, development, QA, deployment, and maintenance. Responsibilities. Design and develop NLP-based AI systems focusing on user intent, context, and output. Collaborate with product, design, and development teams for optimal UX. Conduct user research and refine models based on feedback. Stay updated on AI, NLP, and conversational tech trends. Maintain engineering documentation and best practices. Support QA and DevOps processes to enhance model performance. Job Details. Location: Mumbai, BKC. Mode: 5 days a week, in-office. Interview process. HR Screening. Technical Round. Technical Round. Final Round with Founder. Show more Show less

Role TitleSenior Frontend Engineer Reports To Engineering Manager / Frontend Architect Location Pune- Kharadi Experience Required 8+ Years Role Summary As a Senior Frontend Engineer, you will lead the development of high-performance, scalable, and accessible web components using modern JavaScript, TypeScript, and web standards. You'll architect and maintain design systems, implement robust testing strategies, and ensure seamless user experience through reusable UI components and frameworks. Your work will be central to building reliable, maintainable, and user-friendly interfaces. Key Responsibilities Design, develop, and maintain reusable web components using modern web standards. Architect and evolve scalable design systems using CSS custom properties, theming, and component APIs. Implement and maintain CI-driven testing using Jest, Storybook, and visual regression tools. Optimize frontend builds through bundling, tree shaking, semantic versioning, and monorepo strategies. Ensure accessibility compliance (WCAG, a11y) and integrate accessibility testing into the workflow. Collaborate with cross-functional teams (designers, backend engineers, QA) to deliver seamless features. Monitor application performance and implement improvements proactively. Required Qualifications & Skills Proficiency in TypeScript , JavaScript , and modern ES modules . Expertise in web component standards , lifecycle methods , reactive properties , and component APIs . Strong grasp of Vite , npm , monorepo architecture , and semantic versioning . Deep understanding of CSS custom properties , slots , and theming strategies. Hands-on experience in unit testing , component testing , interaction and visual regression testing . Familiarity with Storybook , Jest , testing automation , and accessibility audits . Soft Skills Strong problem-solving and architectural thinking. Attention to detail and a commitment to code quality. Excellent communication and documentation skills. Collaborative mindset with experience working in agile teams. Initiative-driven and self-organized in a fast-paced environment. Preferred Qualifications Experience building and scaling design systems . Contributions to open-source frontend tools or libraries. Knowledge of micro-frontend or modular architecture . Familiarity with CI/CD pipelines and DevOps practices. Key Relationships Internal : Product Managers UX/UI Designers Backend Developers QA/Test Automation Engineers External : Design System Contributors Accessibility Auditors Vendors/Third-party Tool Providers Role Dimensions Individual Contributor with potential to lead components or junior developers. Influencer in technical direction and design system evolution. Contributor to frontend quality standards and testing best practices. Success Measures (KPIs) Timely and high-quality delivery of reusable components. Coverage and performance of automated testing suites. Accessibility compliance across all UI features. Reduction in UI defects and production incidents. Contribution to documentation and internal knowledge sharing. Competency Framework Alignment Competency Area Expected Proficiency Technical Expertise Deep understanding of frontend and testing tools Code Quality & Testing Drives high coverage and automation culture Communication Clearly articulates decisions and issues Problem Solving Resolves complex UI and architecture challenges Collaboration Works well in cross-functional teams

Job Description Summary The Data Scientist will work in teams addressing statistical, machine learning and data understanding problems in a commercial technology and consultancy development environment. In this role, you will contribute to the development and deployment of modern machine learning, operational research, semantic analysis, and statistical methods for finding structure in large data sets. Job Description Site Overview Established in 2000, the John F. Welch Technology Center (JFWTC) in Bengaluru is GE Aerospaces multidisciplinary research and engineering center. Pushing the boundaries of innovation every day, engineers and scientists at JFWTC have contributed to hundreds of aviation patents, pioneering breakthroughs in engine technologies, advanced materials, and additive manufacturing. Role Overview: As a Data Scientist, you will be part of a data science or cross-disciplinary team on commercially-facing development projects, typically involving large, complex data sets. These teams typically include statisticians, computer scientists, software developers, engineers, product managers, and end users, working in concert with partners in GE business units. Potential application areas include remote monitoring and diagnostics across infrastructure and industrial sectors, financial portfolio risk assessment, and operations optimization. In this role, you will: Develop analytics within well-defined projects to address customer needs and opportunities. Work alongside software developers and software engineers to translate algorithms into commercially viable products and services. Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics. Perform exploratory and targeted data analyses using descriptive statistics and other methods. Work with data engineers on data quality assessment, data cleansing and data analytics Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes. Share and discuss findings with team members. Required Qualifications: Bachelor's Degree in Computer Science or STEM Majors (Science, Technology, Engineering and Math) with basic experience. Desired Characteristics: - Expertise in one or more programming languages and analytic software tools (e.g., Python, R, SAS, SPSS). Strong understanding of machine learning algorithms, statistical methods, and data processing techniques. - Exceptional ability to analyze large, complex data sets and derive actionable insights. Proficiency in applying descriptive, predictive, and prescriptive analytics to solve real-world problems. - Demonstrated skill in data cleansing, data quality assessment, and data transformation. Experience working with big data technologies and tools (e.g., Hadoop, Spark, SQL). - Excellent communication skills, both written and verbal. Ability to convey complex technical concepts to non-technical stakeholders and collaborate effectively with cross-functional teams - Demonstrated commitment to continuous learning and staying up-to-date with the latest advancements in data science, machine learning, and related fields. Active participation in the data science community through conferences, publications, or contributions to open-source projects. - Ability to thrive in a fast-paced, dynamic environment and adapt to changing priorities and requirements. Flexibility to work on diverse projects across various domains. Preferred Qualifications: - Awareness of feature extraction and real-time analytics methods. - Understanding of analytic prototyping, scaling, and solutions integration. - Ability to work with large, complex data sets and derive meaningful insights. - Familiarity with machine learning techniques and their application in solving real-world problems. - Strong problem-solving skills and the ability to work independently and collaboratively in a team environment. - Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders. Domain Knowledge: Demonstrated awareness of industry and technology trends in data science Demonstrated awareness of customer and stakeholder management and business metrics Leadership: Demonstrated awareness of how to function in a team setting Demonstrated awareness of critical thinking and problem solving methods Demonstrated awareness of presentation skills Personal Attributes: Demonstrated awareness of how to leverage curiosity and creativity to drive business impact Humble: respectful, receptive, agile, eager to learn Transparent: shares critical information, speaks with candor, contributes constructively Focused: quick learner, strategically prioritizes work, committed Leadership ability: strong communicator, decision-maker, collaborative Problem solver: analytical-minded, challenges existing processes, critical thinker Whether we are manufacturing components for our engines, driving innovation in fuel and noise reduction, or unlocking new opportunities to grow and deliver more productivity, our GE Aerospace teams are dedicated and making a global impact. Join us and help move the aerospace industry forward . Additional Information Relocation Assistance Provided: No

Job Description Summary The Data Science Specialist will develop and implement Artificial Intelligence based solutions across various disciplines in GE Aerospace under the guidance of senior team members. In this role, the candidate will contribute to the development and deployment of modern machine learning, artificial intelligence, statistical methods, operations research, semantic analysis etc. for finding structure in large data sets. Job Description Site Overview Established in 2000, the John F. Welch Technology Center (JFWTC) in Bengaluru is our multidisciplinary research and engineering center. Engineers and scientists at JFWTC have contributed to hundreds of aviation patents, pioneering breakthroughs in engine technologies, advanced materials, and additive manufacturing. Role Overview The Data Scientist will be responsible to work on data science projects under the supervision of senior team members and deliver business outcomes. Key responsibilities include Development of data science models. Work alongside software developers and software engineers to translate algorithms into viable products and services. Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics. Perform exploratory and targeted data analysis using descriptive statistics and other methods. Work with data engineers on data quality assessment, data cleansing and data analytics. Generate reports, annotated code, and other projects artifacts to document, archive, and communicate the work and outcomes. Share and discuss findings with team members. The Ideal Candidate The ideal candidate should have experience in Gen AI/LLM, python. Required Qualifications: Bachelor's Degree in Statistics, Machine Learning, Computer Science or related field Proficiency in Python (mandatory). Demonstrated skill at data cleansing, data quality assessment, and using analytics for solving business problems Demonstrated skill in the use of applied analytics, descriptive statistics, feature extraction and predictive analytics on datasets Demonstrated skill at data visualization and storytelling for an audience of stakeholders Strong communication and interpersonal skills Preferred Qualifications: Influences within peer group. Implements specific component(s) of the roadmap. Evaluates features using well known or prescribed recipes and appropriately down selects to valuable ones. Aware of models such as CART SVM RF Neural Net and the associated sub-models Knowledge on Gen AI/LLM Uses Cross Validation and other Verification & Validation techniques to build robust models from large data sets. Understands the types of issues that impact data quality Performs basic data cleaning operations such as flagging missing and invalid data etc. Fits normal parameters to data and assess goodness of fit Can use and interpret t-tests, ANOVA and basic hypothesis testing with good utilization of p-values. Codes using modular practices for reusage and object-oriented Effectively shows visualization of data exploration using box, bubble and matrix plots. Has a basic understanding of GE Aerospace business and how the tools they are developing create value. At GE Aerospace, we have a relentless dedication to the future of safe and more sustainable flight and believe in our talented people to make it happen. Here, you will have the opportunity to work on really cool things with really smart and collaborative people. Together, we will mobilize a new era of growth in aerospace and defense. Where others stop, we accelerate. #LI-VR1 Additional Information Relocation Assistance Provided: Yes

The successful candidate will work closely with ZS practice leadership and be responsible for evolving our practice, enriching our practice assets and collaterals, building and managing client relationships, generating new business engagements, and providing thought leadership in the Technology and Architecture Area. What You'll Do Design robust and scalable solutions consistent with ZS and industry practices; take advantage of existing assets and maintain a balance between architecture requirements and specific client needs. Drive technical architecture and design discussions with internal and client groups to brainstorm and finalize technology solutions. Collaborate with the Architecture & Engineering expertise center leadership to define the technology roadmap and work with the delivery team to put together a plan for technical implementation and stay on track. Stay current on latest technology trends and architecture patterns, and lead the effort to develop ZS POV for strategic decision-making. Engage with clients to understand their needs and provide tailored solutions. Advance ZS technology offerings by innovating and scaling tech assets, driving feasibility analysis to select technologies/platforms that provide the best solution. Define and establish a technical strategy, standards, and guidelines in the data architecture domain. Groom junior team members and maintain a culture of rapid learning and explorations to drive innovations/POCs on emerging technologies and architecture patterns. Participate and support business development activities. What You'll Bring Bachelor's degree with specialization in Computer Science, IT, or other computer-related disciplines. 8+ years of relevant experience in designing semantic architecture at an enterprise scale. Strong engineering mindset to build highly available and robust architecture frameworks, technology solutions, and reusable assets. Expertise in one or more initiatives like cloud strategy, IT transformation, and application portfolio assessment. Excellent communication and client engagement skills and ability to work in a fast-paced and dynamic environment. Experience in providing architecture alternatives, product evaluation and recommendations, POVs for implementation/adoption. Experience in scaling technology solutions aimed at solving complex business problems. Knowledge of all phases of solution development for large-scale solutions and experience working in agile teams with short release cycles. Strong technical team leadership, mentorship, and collaboration abilities.

Role & responsibilities Expertise in Graph Database : A deep understanding of Graph Database (Architecture, Structures, and Operations , query languages (such as SPARQL and Gremlin). Experience in AWS Neptune is preferred. Knowledge of Data Pipelines: Proficiency in designing and managing data pipelines is crucial for ensuring the efficient flow and transformation of data into the knowledge graph. High level of Proficiency in Python programming AWS services including EKS, K8s, S3, and Lambda Secondary Skills CI/CD , Kubernetes, Docker This is compulsory - Expertise in Graph Database and Python programming

Primary Tool & Expertise: Power BI and Semantic modelling Key Project Focus: Leading the migration of legacy reporting systems (Cognos or MicroStrategy) to Power BI solutions. Core Responsibility: Build / Develop optimized semantic models , metrics and complex reports and dashboards Work closely with the business analysts / BI teams to help business teams drive improvement in key business metrics and customer experience Responsible for timely, quality, and successful deliveries Sharing knowledge and experience within the team / other groups in the org Lead teams of BI engineers translate designed solutions to them, review their work, and provide guidance. Manage client communications and deliverables Roles and Responsibilities Core BI Skills: Power BI (Semanti Modelling, DAX, Power Query, Power BI Service) Data Warehousing Data Modeling Data Visualization SQL Datawarehouse, Database & Querying: Strong skills in databases (Oracle / MySQL / DB2 / Postgres) and expertise in writing SQL queries. Experience with cloud-based data intelligence platforms like (Databricks / Snowflake) Strong understanding of data warehousing and data modelling concepts and principles. Strong skills and experience in creating semantic models in the Power BI or similar tools . Additional BI & Data Skills (Good to Have): Certifications in Power BI and any Data platform Experience in other tools like MicroStrategy and Cognos Proven experience in migrating existing BI solutions to Power BI or other modern BI platforms. Experience with the broader Power Platform (Power Automate, Power Apps) to create integrated solutions Knowledge and experience in Power BI Admin features like, versioning, usage reports, capacity planning, creation of deployment pipelines etc Sound knowledge of various forms of data analysis and presentation methodologies. Experience in formal project management methodologies Exposure to multiple BI tools is desirable. Experience with Generative BI implementation. Working knowledge of scripting languages like Perl, Shell, Python is desirable. Exposure to one of the cloud providers – AWS / Azure / GCP. Soft Skills & Business Acumen: Exposure to multiple business domains (e.g., Insurance, Reinsurance, Retail, BFSI, healthcare, telecom) is desirable. Exposure to complete SDLC. Out-of-the-box thinker and not just limited to the work done in the projects. Capable of working as an individual contributor and within a team. Good communication, problem-solving, and interpersonal skills. Self-starter and resourceful, skilled in identifying and mitigating risks

Job Summary: We are looking for a talented Power BI Developer to design, develop, and optimize Power BI solutions that enhance business intelligence and data visualization. The ideal candidate should possess expertise in semantic modeling, Power BI reporting, embedded Power BI development, self-service BI, data export and scheduling, data security, and Power BI REST APIs . Key Responsibilities: Develop and maintain semantic models to ensure efficient data structuring and accessibility. Design and implement Power BI reports and dashboards to provide actionable insights. Work on embedded Power BI development , integrating reports into applications and web platforms. Facilitate self-service BI , empowering users to create and modify reports independently. Manage data export and scheduling processes to ensure timely report delivery. Implement data security measures , including row-level security and access control, to protect sensitive information. Utilize Power BI REST APIs for automation, embedding analytics, and managing Power BI content. Optimize Power BI performance and troubleshoot issues to enhance user experience. Collaborate with business analysts and stakeholders to understand reporting needs and deliver effective solutions. Required Skills & Qualifications: Proficiency in Power BI Desktop, Power BI Service, and Power BI Embedded . Strong understanding of DAX (Data Analysis Expressions) and Power Query (M language) . Experience in semantic model creation and optimization . Knowledge of self-service BI best practices . Familiarity with data export, scheduling, and automation . Expertise in data security, governance, and compliance . Ability to work with SQL databases, Azure, and other data sources . Experience with Power BI REST APIs , including embedding, administration, and governance.

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it , our most valuable asset is our people. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; bold ideas; courage an d passion to drive life-changing impact to ZS. Our most valuable asset is our people . At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systems—the ones that comprise us as individuals, shape who we are and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. ZS’s Digital and Technology group focuses on driving end to end Digital Transformation that includes Digital Strategy, Human centered Design, exploiting emerging technologies, and purposeful change management to improve customer and company results. The types of solutions include Digital Strategy and Advisory services, end to end Transformation Management, Enterprise Data, Analytics and AI, Intelligent Automation, reimagining business processes with digital first lens and building Digital Products, Solutions and Digital Platforms leveraging Big Data Technologies, AI/ML and Advance Analytics, Digital Platform configuration and integrations. We provide a complete spectrum of technology solutions, from strategy and roadmap definition to full scale implementation and on-going operations. Our team possesses deep expertise in leading digital transformation, enterprise data analytic and AI, Data science and advanced analytics and building end to end digital. Manager- Enterprise Architect in Tech and Cloud Advisory ZS's Technology Advisory Group ensures our future information, technology and architectural landscape is built to plan and evolve as our business grows, striving to balance future-proofing our end-to-end technology stack while accelerating the speed of innovation and streamlining the delivery of business capability. This role will be responsible for supporting the growth and development of our Technology Advisory Practice within the ZS Technology Services business. The successful candidate will work closely with ZS practice leadership and be responsible for evolving our practice, enriching our practice assets and collaterals, building, and managing client relationships, generating new business engagements, and providing thought leadership in the Technology and Architecture Area. What You’ll Do Design robust and scalable solutions consistent with ZS and industry practices; take advantage of the existing assets and maintaining a balance between architecture requirements and specific client needs Drive technical architecture and design discussions with internal and client groups to brainstorm and finalize technology solutions Collaborate with the Architecture & Engineering expertise centre leadership to define technology roadmap and work with delivery team to put together a plan for technical implementation with and stay on track Stay current on latest technology trends and architecture patterns, and lead the effort to develop ZS POV for strategic decision-making Engage with clients to understand their needs and provide tailored solutions. Advance ZS’ technology offerings by innovating and scaling tech assets, driving feasibility analysis to select technologies/platforms that provide the best solution Define and establish a technical strategy, standards, and guidelines in the data architecture domain Groom junior team members and maintain a culture of rapid learning and explorations to drive innovations / POCs on emerging technologies and architecture patterns Participate and support the business development activities. What You’ll Bring Bachelor's degree with specialization in Computer Science, IT or other computer related disciplines 8+ years of relevant experience in designing semantic architecture at an enterprise-scale. Strong engineering mindset to build highly available and robust architecture frameworks, technology solutions and reusable assets Expertise in one or more of initiatives like cloud strategy, IT transformation, and application portfolio assessment. Excellent communication and client engagement skills and ability to work in a fast-paced and dynamic environment. Experience in providing architecture alternatives, product evaluation and recommendations, POVs for implementation/adoption . Experience in scaling technology solutions aimed at solving complex business problems. Knowledge of all phases of solution development for large-scale solutions and experience working in agile teams with short release cycles. Strong technical team leadership, mentorship and collaboration abilities. Perks & Benefits: ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel: Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. Considering applying At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To Complete Your Application: Candidates must possess or be able to obtain work authorization for their intended country of employment.An on-line application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At www.zs.com

As a Full Stack Developer, you will play a key role in the organisation, bridging technology with creative. You will independently handle digital assets of our clients using the latest in web technologies. You will be supported by internal specialists in digital marketing and creative, helping you build personal efficiency and professional growth. At OpusCDM, the exposure to high quality work and proven practices in creative web development and multi-platform exposure is significant. Responsibilities Development of responsive websites, eCommerce platforms and alternative web-design media applications Write programming code, either from scratch or by adapting existing website software and graphics packages to meet creative requirements Work on frameworks for the development of responsive web designs, and to test and identify technical problems and to optimize it Develop new-age website content, layouts, graphics, and enhancements by collaborating with copywriters and graphic designers Protect the site by designing and installing security precautions Develop CMS modules when required Be abreast of the latest technologies and self update technical knowledge by participating in educational opportunities, online courses etc. Requirements A work portfolio with a range of examples that demonstrate strong PHP/ Shopify/ HTML 5/ CSS/ JS/ ecommerce ability More than 5 years experience in eCommerce, Shopify coding, wordpress, web design, development. Strong HTML5/ XHTML/ JS-JQuery/ CSS3/ MySQL/ PHP/ Bootstrap LAMP web service stack development Expert in cross browser semantic HTML and CSS Solid/Advanced Javascript and Ajax (especially jQuery) Experience with responsive design and development. Ecommerce web development on platforms like Shopify. Experience working with 3rd party APIs and Integrations (Facebook, Twitter, Google, shopping engines, etc.) Experience in resolving cross-browser compatibility issues. Working on scaling projects with multiple developers on a single codebase. Basic skills in graphics software (like photoshop/corel draw/ illustrator) will be an advantage Ability to organize and manage multiple jobs Good written and verbal communication skills are essential. PHP Developer Additional Skills Having worked on cloud based hosting and deployment tools is an added advantage. Mobile app development Web Certification

Job Title:Power BI Lead Experience9-12Years Location:Chennai / Bengaluru : Role and Responsibilities: Talk to client stakeholders, and understand the requirements for building their Business Intelligence dashboards and reports Design, develop, and maintain Power BI reports and dashboards for business users. Translate business requirements into effective visualizations using various data sources Create data models, DAX calculations, and custom measures to support business analytics needs Optimize performance and ensure data accuracy in Power BI reports. Troubleshoot and resolve issues related to transformations and visualizations. Train end-users on using Power BI for self-service analytics. Skills Required: Proficiency in Power BI Desktop and Power BI Service. Good understanding of Power BI Copilot. Strong understanding of data modelling concepts and DAX language. Strong understanding of semantic data modelling concepts. Experience with data visualization best practices. Experience in working with streaming data as well as batch data. Knowledge in ADF would be added advantage. Knowledge in SAS would be added advantage.

Hello Visionary! We know that the only way a business thrive is if our people are growing. That"™s why we always put our people first. Our global, diverse team would be happy to support you and challenge you to grow in new ways. Who knows where our shared journey will take you? We are looking for Semantic Web ETL Developer We are looking for a highly experienced and hands-on candidate who has expertise in web-development using Django framework who is well versed with Algorithmic concepts and Data Structure concepts along with experience in ETL Projects. The candidate should be well versed with Semantic Data Development using libraries like rdflib or pySHACL. Data Querying language such as SPARQL will be an add-on. Knowledge in AWS is not a must, but any cloud technologies is required. You"™ll make a difference by International experience with global projects and collaboration with intercultural team is preferred 5 - 10 years"™ experience on developing software solutions with Python language. Experience in research and development processes (Software based solutions and products) ; in commercial topics; in implementation of strategies, POC"™s Manage end-to-end development of web applications and knowledge graph projects, ensuring best practices and high code quality. Provide technical guidance and mentorship to junior developers, fostering their growth and development. Design scalable and efficient architectures for web applications, knowledge graphs, and database models. Enforce code standards and perform code reviews, ensuring alignment with best practices like PEP8, DRY, and SOLID principles. Collaborate with frontend developers, DevOps teams, and database administrators to deliver cohesive solutions. Strong and Expert-like proficiency in Python web frameworks Django, Flask(optional), FAST API, Knowledge Graph Libraries. Experience in designing and developing complex RESTful APIs and microservices architectures. Strong understanding of security best practices in web applications (e.g., authentication, authorization, and data protection). Extensive experience in building and querying knowledge graphs using Python libraries like RDFLib, Py2neo, or similar. Proficiency in SPARQL for advanced graph data querying. Experience with graph databases like Neo4j, GraphDB, or Blazegraph.or AWS Neptune Experience in expert functions like Software Development / Architecture, Software Testing (Unit Testing, Integration Testing) Excellent in DevOps practices, including CI/CD pipelines, containerization (Docker), and orchestration (Kubernetes). Excellent in Cloud technologies and architecture. Should have exposure on S3, EKS, ECR, AWS Neptune Exposure to and working experience in the relevant Siemens sector domain (Industry, Energy, Healthcare, Infrastructure and Cities) required. You"™ll win us over by Leadership Qualities Visionary Leadership Ability to lead the team towards long-term technical goals while managing immediate priorities. Strong Communication Excellent interpersonal skills to work effectively with both technical and non-technical stakeholders. Mentorship & Coaching Foster a culture of continuous learning, skill development, and collaboration within the team. Conflict Resolution Ability to manage team conflicts and provide constructive feedback to improve team dynamics. We are looking forward to receiving your online application. Please ensure you complete all areas of the application form to the best of your ability as we will use the data to review your suitability for the role. Create a better #TomorrowWithUs! This role, based in Bangalore, is an individual contributor position. You may be required to visit other locations within India and internationally. In return, you'll have the opportunity to work with teams shaping the future. At Siemens, we are a collection of over 312,000 minds building the future, one day at a time, worldwide. We are dedicated to equality and welcome applications that reflect the diversity of the communities we serve. All employment decisions at Siemens are based on qualifications, merit, and business need. Bring your curiosity and imagination, and help us shape tomorrow Find out more about Siemens careers at www.siemens.com/careers

Job Title: UI Developer - React / Redux / JavaScript Location: Bangalore Experience Required: 7+ Years Position Overview We are looking for a highly skilled UI Developer with deep expertise in React, Redux, and JavaScript (ES6+) to join our front-end development team. The ideal candidate will have a passion for building responsive, scalable, and maintainable user interfaces, and experience working in Agile environments in collaboration with cross-functional teams. Key Responsibilities Design and develop highly interactive and dynamic user interfaces using React and Redux . Build reusable, modular, and maintainable components that support scalability. Integrate front-end components with RESTful APIs and backend services. Collaborate with UX/UI designers to deliver clean, functional, and responsive design implementations. Optimize applications for performance , speed , and scalability across various devices and browsers. Troubleshoot and resolve front-end bugs and performance issues . Write robust unit and integration tests using frameworks like Jest and Enzyme . Participate in code reviews and maintain high standards of code quality and consistency. Stay updated with the latest front-end technologies and advocate for continuous improvements. Work within an Agile development environment using tools like JIRA and Confluence. Mandatory Technical Skillset React: Strong hands-on experience with component-based architecture and React hooks. Redux: In-depth knowledge of Redux for managing application state and middleware. JavaScript (ES6+): Advanced knowledge including async/await, arrow functions, destructuring, and modules. HTML5/CSS3: Proficiency in semantic markup, responsive design, and preprocessors like SASS or LESS . RESTful APIs: Experience integrating front-end with APIs for dynamic data handling. Version Control: Proficient with Git and working with repositories. Testing: Familiarity with front-end testing frameworks such as Jest , Mocha , or Enzyme . UI/UX Collaboration: Ability to work closely with design teams to translate designs into functional user interfaces. Agile Methodologies: Experience working in Scrum or Kanban environments with modern development tools. Qualifications 7+ years of hands-on experience in front-end development with React, Redux, and JavaScript. Solid understanding of UI/UX design principles and ability to implement best practices. Proven experience building cross-browser compatible and responsive web applications . Strong analytical and problem-solving skills , especially in production scenarios. Excellent communication skills for effective collaboration with cross-functional teams. Ability to thrive in a fast-paced, Agile software development environment. Required Skills React,Redux,Javascript

Sr Semantic Engineer – Research Data and Analytics What you will do Let’s do this. Let’s change the world. In this vital role you will be part of Research’s Semantic Graph Team is seeking a dedicated and skilled Semantic Data Engineer to build and optimize knowledge graph-based software and data resources. This role primarily focuses on working with technologies such as RDF, SPARQL, and Python. In addition, the position involves semantic data integration and cloud-based data engineering. The ideal candidate should possess experience in the pharmaceutical or biotech industry, demonstrate deep technical skills, and be proficient with big data technologies and demonstrate experience in semantic modeling. A deep understanding of data architecture and ETL processes is also essential for this role. In this role, you will be responsible for constructing semantic data pipelines, integrating both relational and graph-based data sources, ensuring seamless data interoperability, and leveraging cloud platforms to scale data solutions effectively. Roles & Responsibilities: Develop and maintain semantic data pipelines using Python, RDF, SPARQL, and linked data technologies. Develop and maintain semantic data models for biopharma scientific data Integrate relational databases (SQL, PostgreSQL, MySQL, Oracle, etc.) with semantic frameworks. Ensure interoperability across federated data sources, linking relational and graph-based data. Implement and optimize CI/CD pipelines using GitLab and AWS. Leverage cloud services (AWS Lambda, S3, Databricks, etc.) to support scalable knowledge graph solutions. Collaborate with global multi-functional teams, including research scientists, Data Architects, Business SMEs, Software Engineers, and Data Scientists to understand data requirements, design solutions, and develop end-to-end data pipelines to meet fast-paced business needs across geographic regions. Collaborate with data scientists, engineers, and domain experts to improve research data accessibility. Adhere to standard processes for coding, testing, and designing reusable code/components. Explore new tools and technologies to improve ETL platform performance. Participate in sprint planning meetings and provide estimations on technical implementation. Maintain comprehensive documentation of processes, systems, and solutions. Harmonize research data to appropriate taxonomies, ontologies, and controlled vocabularies for context and reference knowledge. What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications and Experience: Doctorate Degree OR Master’s degree with 4 - 6 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field OR Bachelor’s degree with 6 - 8 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field OR Diploma with 10 - 12 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field Preferred Qualifications and Experience: 6+ years of experience in designing and supporting biopharma scientific research data analytics (software platforms) Functional Skills: Must-Have Skills: Advanced Semantic and Relational Data Skills: Proficiency in Python, RDF, SPARQL, Graph Databases (e.g. Allegrograph), SQL, relational databases, ETL pipelines, big data technologies (e.g. Databricks), semantic data standards (OWL, W3C, FAIR principles), ontology development and semantic modeling practices. Cloud and Automation ExpertiseGood experience in using cloud platforms (preferably AWS) for data engineering, along with Python for automation, data federation techniques, and model-driven architecture for scalable solutions. Technical Problem-SolvingExcellent problem-solving skills with hands-on experience in test automation frameworks (pytest), scripting tasks, and handling large, complex datasets. Good-to-Have Skills: Experience in biotech/drug discovery data engineering Experience applying knowledge graphs, taxonomy and ontology concepts in life sciences and chemistry domains Experience with graph databases (Allegrograph, Neo4j, GraphDB, Amazon Neptune) Familiarity with Cypher, GraphQL, or other graph query languages Experience with big data tools (e.g. Databricks) Experience in biomedical or life sciences research data management Soft Skills: Excellent critical-thinking and problem-solving skills Good communication and collaboration skills Demonstrated awareness of how to function in a team setting Demonstrated presentation skills What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now and make a lasting impact with the Amgen team. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Associate Data Engineer Graph – Research Data and Analytics What you will do Let’s do this. Let’s change the world. In this vital role you will be part of Research’s Semantic Graph. Team is seeking a dedicated and skilled Data Engineer to design, build and maintain solutions for scientific data that drive business decisions for Research. You will build scalable and high-performance, graph-based, data engineering solutions for large scientific datasets and collaborate with Research partners. The ideal candidate possesses experience in the pharmaceutical or biotech industry, demonstrates deep technical skills, has experience with semantic data modeling and graph databases, and understands data architecture and ETL processes. Roles & Responsibilities: Design, develop, and implement data pipelines, ETL/ELT processes, and data integration solutions Contribute to data pipeline projects from inception to deployment, manage scope, timelines, and risks Contribute to data models for biopharma scientific data, data dictionaries, and other documentation to ensure data accuracy and consistency Optimize large datasets for query performance Collaborate with global multi-functional teams including research scientists to understand data requirements and design solutions that meet business needs Implement data security and privacy measures to protect sensitive data Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions Collaborate with Data Architects, Business SMEs, Software Engineers and Data Scientists to design and develop end-to-end data pipelines to meet fast paced business needs across geographic regions Identify and resolve data-related challenges Adhere to best practices for coding, testing, and designing reusable code/component Explore new tools and technologies that will help to improve ETL platform performance Participate in sprint planning meetings and provide estimations on technical implementation Maintain documentation of processes, systems, and solutions What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications and Experience: Bachelor’s degree and 1to 3 years of Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field experience OR Diploma and 4 to 7 years of Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field experience Functional Skills: Must-Have Skills: Advanced Semantic and Relational Data Skills: Proficiency in Python, RDF, SPARQL, Graph Databases (e.g. Allegrograph), SQL, relational databases, ETL pipelines, big data technologies (e.g. Databricks), semantic data standards (OWL, W3C, FAIR principles), ontology development and semantic modeling practices. Hands on experience with big data technologies and platforms, such as Databricks, workflow orchestration, performance tuning on data processing. Excellent problem-solving skills and the ability to work with large, complex datasets Good-to-Have Skills: A passion for tackling complex challenges in drug discovery with technology and data Experience with system administration skills, such as managing Linux and Windows servers, configuring network infrastructure, and automating tasks with shell scripting. Examples include setting up and maintaining virtual machines, troubleshooting server issues, and ensuring data security through regular updates and backups. Solid understanding of data modeling, data warehousing, and data integration concepts Solid experience using RDBMS (e.g. Oracle, MySQL, SQL server, PostgreSQL) Knowledge of cloud data platforms (AWS preferred) Experience with data visualization tools (e.g. Dash, Plotly, Spotfire) Experience with diagramming and collaboration tools such as Miro, Lucidchart or similar tools for process mapping and brainstorming Experience writing and maintaining user documentation in Confluence Professional Certifications: Databricks Certified Data Engineer Professional preferred Soft Skills: Excellent critical-thinking and problem-solving skills Good communication and collaboration skills Demonstrated awareness of how to function in a team setting Demonstrated presentation skills What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now and make a lasting impact with the Amgen team. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

What you will do Let’s do this. Let’s change the world. In this vital role you willplay a key role in a regulatory submission content automation initiative which will modernize and digitize the regulatory submission process, positioning Amgen as a leader in regulatory innovation. The initiative demonstrates pioneering technologies, including Generative AI, Structured Content Management, and integrated data to automate the creation, review, and approval of regulatory content. Role Description: This role is a key contributor to bridging the gap between business processes and technical development, supporting data sourcing and integration for regulatory filings. This role combines domain expertise and analytical skills to gather, refine, and document product requirements, including epics, user stories, business process maps, and test plans. Collaborating closely with developers, Product Managers, and business collaborators, the analyst ensures technical requirements are well-defined, enabling accurate planning, estimation, and delivery of high-quality software solutions. Responsibilities also include sourcing and integrating data, ensuring its accuracy and alignment with regulatory needs, and developing test cases to validate system performance and compliance. In addition to requirements analysis, this role emphasizes understanding how businesses create, consume, and make decisions using data in the context of their processes. The analyst analyzes how and where data is created, managed, and moved through business processes, software systems, and technologies. With strong SQL skills, they extract, manipulate, and analyze data from source systems and databases, ensuring clean, organized, and usable information for decision-making. They also bring a solid understanding of CDL and semantic layers, enabling efficient data organization and accessibility. Acting as a liaison, the analyst provides insights to collaborators, optimizes processes, ensures consistent practices across teams, and contributes to regulatory compliance and reporting. With a proactive approach to problem-solving and collaboration, this role drives continuous improvement and ensures the success of program objectives. Roles & Responsibilities: Collaborate with System Architects and Product Managers to manage business analysis activities, ensuring alignment with engineering and product goals Capture the voice of the customer to define business processes and product needs Work with Product Managers and customers to define scope and value for new developments Collaborate with Engineering and Product Management to prioritize release scopes and refine the Product backlog Ensure non-functional requirements are included and prioritized in the Product and Release Backlogs Facilitate the breakdown of Epics into Features and Sprint-Sized User Stories and participate in backlog reviews with the development team Clearly express features in User Stories/requirements so all team members and collaborators understand how they fit into the product backlog Ensure Acceptance Criteria and Definition of Done are well-defined Work closely with UX to align technical requirements, scenarios, and business process maps with User Experience designs Stay focused on software development to ensure it meets requirements, providing proactive feedback to collaborators Develop and implement effective product demonstrations for internal and external collaborators Maintain accurate documentation of configurations, processes, and changes What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Doctorate degree OR Master’s degree and 4 to 6 years of Information Systems experience OR Bachelor’s degree and 6 to 8 years of Information Systems experience OR Diploma and 10 to 12 years of Information Systems experience Preferred Qualifications: Functional Skills: Must-Have Skills: Excellent problem-solving skills and a passion for tackling complex challenges in drug discovery with technology Experience with SAFe Framework and Agile software development methodologies (Scrum) Good communication skills and the ability to work with senior leadership with confidence and clarity Experience in writing requirements for development of modern web application Has experience with writing user requirements and acceptance criteria in agile project management systems such as JIRA Good-to-Have Skills: Demonstrated expertise in a scientific domain area and related technology needs Understanding of scientific software systems strategy, governance, and infrastructure Experience in managing product features for PI planning and developing product roadmaps and user journeys Familiarity with low-code, no-code test automation software Technical thought leadership Able to communicate technical or complex subject matters in business terms Jira Align experience Knowledge of network security protocols and tools (e.g., IPSEC, SSL, IDS/IPS, firewalls) Experience of DevOps, Continuous Integration, and Continuous Delivery methodology Professional Certifications SAFe for Teams certification (preferred) Soft Skills: Able to work under minimal supervision Skilled in providing oversight and mentoring team members. Demonstrated ability in effectively delegating work Excellent analytical and gap/fit assessment skills Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now for a career that defies imagination Objects in your future are closer than they appear. Join us. careers.amgen.com

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Microsoft Azure OpenAI Service Good to have skills : NA Minimum 12 year(s) of experience is required Educational Qualification : BEBTECHMTECH Summary :As an Application Lead, you will be responsible for leading the effort to design, build, and configure applications using Microsoft Azure OpenAI Service. Your typical day will involve collaborating with cross-functional teams, managing project timelines, and ensuring the successful delivery of high-quality applications. Roles & Responsibilities:A.Lead the design, development, and deployment of applications using Microsoft Azure OpenAI Service, Azure AI Search-Cognitive Search, Azure Language Services-CLU, Microsoft Bot Framework,Microsoft Power Virtual Agents-Microsoft Copilot Studio and Azure PaaS.B.Act as the primary point of contact for the project, collaborating with cross-functional teams to ensure project timelines are met.C.Ensure the successful delivery of high-quality applications, adhering to best practices and industry standards.D.Provide technical guidance and mentorship to team members, fostering a culture of continuous learning and growth.E.Stay updated with the latest advancements in Azure components, Microsoft Azure OpenAI Service, Azure AI Search-Cognitive Search and Azure Language Services-CLU integrating innovative approaches for sustained competitive advantage. Professional & Technical Skills:A.Must Have Skills:Strong architectural experience with Microsoft Azure OpenAI Service, Azure AI Search-Cognitive Search, Azure Language Services-CLU and Azure PaaS.B.Must Have Skills:At least 1+ year hands on experience in Azure based LLMs with knowledge in embeddings, vectorization and semantic, vector based indexing and search.C.Must to Have Skills:Experience with conversational AI with Microsoft Bot Framework or Power Virtual Agents,Microsoft Copilot Studio. Should know how multiple components integrate with each other in an enterprise application.D.Must Have Skills:Strong understanding of software development best practices including Agile methodologies and industry standards with special focus on API, function app and logic app building. Experience with Python or C hash programming language, using Visual Studio Code IDE and Azure AI Studio.E.Good To Have Skills:Knowledge of other vector databases, Knowledge Graphs, LangChain, Semantic Kernel.F.Good To Have Skills:Experience with deployment of applications and containerization technologies such as Docker or Kubernetes.G.Good To Have Skills:Experience with all Azure AI services like Video Indexer, Computer Vision, Custom Vision, Document Intelligence, Custom QnA, Speech Services and Prompt Engineering.H.Experience with database technologies such as SQL Server, Cosmos DB and Oracle.I.Solid grasp of software testing and quality assurance principles.J.Knowledge of DevOps practices. Additional Information: The candidate should have a minimum of 12 years of experience in software development. The ideal candidate will possess a strong educational background in computer science or a related field, along with a proven track record of delivering impactful solutions. This position is based at our Bengaluru office. Qualification BEBTECHMTECH