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The Knowledge Graph Architect is responsible for designing, developing, and implementing knowledge graph technologies to enhance organizational data understanding and decision-making capabilities. This role involves collaborating with data scientists, engineers, and business stakeholders to integrate complex data into accessible and insightful knowledge graphs.

Work you’ll do

1. Design and develop scalable and efficient knowledge graph architectures.

2. Implement knowledge graph integration with existing data systems and business processes.

3. Lead the ontology design, data modeling, and schema development for knowledge representation.

4. Collaborate with IT and business units to understand data needs and deliver comprehensive knowledge graph solutions.

5. Manage the lifecycle of knowledge graph data, including quality, consistency, and updates.

6. Provide expertise in semantic technologies and machine learning to enhance data interconnectivity and retrieval.

7. Develop and maintain documentation and specifications for system architectures and designs.

8. Stay updated with the latest industry trends in knowledge graph technologies and data management.

The Team

Innovation & Technology anticipates how technology will shape the future and begins building future capabilities and practices today. I&T drives the Ideation, Incubation and scale of hybrid businesses and tech enabled offerings at prioritized offering portfolio and industry interactions.

It drives cultural and capability transformation from solely services – based businesses to hybrid businesses. While others bet on the future, I&T builds it with you.

I&T encompasses many teams—dreamers, designers, builders—and partners with the business to bring a unique POV to deliver services and products for clients.

Qualifications and Experience

Required:

1. Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.

2. 6-10 years of professional experience in data engineering with Proven experience in designing and implementing knowledge graph systems.

3. Strong understanding of semantic web technologies (RDF, SPARQL, GraphQL,OWL, etc.).

4. Experience with graph databases such as Neo4j, Amazon Neptune, or others.

5. Proficiency in programming languages relevant to data management (e.g., Python, Java, Javascript).

6. Excellent analytical and problem-solving abilities.

7. Strong communication and collaboration skills to work effectively across teams.

Preferred:

1. Experience with machine learning and natural language processing.

2. Experience with Industry 4.0 technologies and principles

3. Prior exposure to cloud platforms and services like AWS, Azure, or Google Cloud.

4. Experience with containerization technologies like Docker and Kubernetes

Experience:

• Very strong hands on experience of web and mobile technologies: - HTML JavaScript,  HTML5/CSS3,OOJS.

• 5 + years of UI Development Experience using JavaScript Frameworks

• 3+ years of Angular Development Experience

• Strong in OOJS(Mandatory)

• Has implemented coding patterns and built UI framework

• Deep knowledge of AngularJS practices and commonly used modules based on extensive work experience

• Thorough understanding of the responsibilities of the platform, database, API, caching layer, proxies, and other web services used in the system

• Creating custom, general use modules and components which extend the elements and modules of core AngularJS

• Creating configuration, build, and test scripts for Continuous Integration environments

• Cooperating with the back-end developer in the process of building the RESTful API

Job Summary:

We are seeking a skilled Python Developer with a strong foundation in Artificial Intelligence and Machine Learning. You will be responsible for designing, developing, and deploying intelligent systems that leverage large datasets and cutting-edge ML algorithms to solve real-world problems.

Key Responsibilities:

• Design and implement machine learning models using Python and libraries like TensorFlow, PyTorch, or Scikit-learn.
• Perform data preprocessing, feature engineering, and exploratory data analysis.
• Develop APIs and integrate ML models into production systems using frameworks like Flask or FastAPI.
• Collaborate with data scientists, DevOps engineers, and backend teams to deliver scalable AI solutions.
• Optimize model performance and ensure robustness in real-time environments.
• Maintain clear documentation of code, models, and processes.

Required Skills:

• Proficiency in Python and ML libraries (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch).
• Strong understanding of ML algorithms (classification, regression, clustering, deep learning).
• Experience with data pipeline tools (e.g., Airflow, Spark) and cloud platforms (AWS, Azure, or GCP).
• Familiarity with containerization (Docker, Kubernetes) and CI/CD practices.
• Solid grasp of RESTful API development and integration.

Preferred Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, or related field.
• 2–5 years of experience in Python development with a focus on AI/ML.
• Exposure to MLOps practices and model monitoring tools.

Qualification, Experience & Critical Capabilities

• Graduation in Engineering (Preferred Computer Science)/ Post Graduation with 8 years (+) hands on experience working in SAP MDM / MDG.
• Experience in writing User Story/Business Requirement Specification, USDD (User Story Design Document)/Functional/Technical Specifications and understand Devops, Agile methodology/framework.
• Act as a partner to the Business for Business Process Query Incidents, Small Change (Projects), Problem Management and define right solution from Design and Cost perspective by aligning with Chief Architect Group (CAG) as and when needed.
• Coordinates with business users and other IT departments to design, develop, implement, enhance and maintain complex solutions.
• Be able to support and challenge the Partners (Vendors) on quotation of Change efforts, Fulfill the role of a SME (subject matter expert), Oversee and support the development of the solution, Validate the functionality as per business needs, support testing (IST & UAT) and User training.
• Experience in collaboration with different domains (functions) within Syngenta and third-party Partners (Vendors).

Relevant Experience

• 8 years (+) experience working as SAP MDM / MDG Functional Analyst.
• Should have worked on implementation of MDM.
• Good to have: Exposure to migration of SAP MDM to MDG.

MDM:

• Experience in MDM configuration.
• Experience in Integrating business process requirements with the technical implementation of SAP Master Data Management / Governance.
• Set up Validation (Business) rules, Workflow process, Import/Syndication Maps.
• Setup and use of MDM Transport Management.
• Design understanding of material / products master repository architecture.
• Experience working on SAP MDM Production Support and New Enhancements.
• Knowledge of handling MDM integration with different systems. Ex MDM <> ECC, SFDC etc.
• Understanding the Business problem and the different Master data used in the Organization (say if its Material Master/Customer/Vendor/Finance Master data etc.).
• Develops and implements strategies to translate business requirements and models into feasible and acceptable designs to ensure that business needs are met.
• Once the understanding phase is done Functional Analyst will have to work with vendor to provide a Solution through SAP MDM and then design and Implement the solution end to end.
• Strong hands on experience in MDM Console, Data Manager, Import Manager, Syndicator, Workflow, Data modeling, Standardization, Cleansing and SAP ECC.
• Consultant should try to wider there view for all the different platforms that are used with MDM such as Netweaver , XI, ABAP etc.
• Identifies areas for data quality improvements and helps to resolve data quality problems through the appropriate choice of error detection and correction, process control and improvement, or process design strategies.

MDG:

• Configuration exposure with MDG product / material data objects.
• Experience in UI modelling (Design and Creation of UI, Value restriction and Derivation rules).
• Understanding and familiarity with MDG application framework and various governance API's.
• Able to perform MDG configurations and customizations in areas like data modeling, process modeling, key mapping, duplicate checks, validations, replication and MDG error handling.
• Knowledge in activation and configuration of the MDG modules & components.
• Expertise in Data Model Enhancement, Data Transfer (DIF/DEF), Data Replication Framework (DRF) via ALE / IDOC, key and value mapping.
• Able to perform MDG Configurations and Customizations in areas like Data Modeling, Process Modeling, Key Mapping, Duplicate checks, validations and MDG error handling experience.

General Experience and Prerequisites 

• Excellent written and verbal communication around issues, managing escalations.
• Experience in client facing and managing outsourced partners.
• A Team player with a collaborative attitude, proactive and ability to work under pressure.
• Good understanding of agile ways of working (DevOps model), knowledge on ITIL processes.
• Knowledge of Lean/ 6 Sigma, Design Thinking, Agile methodology.
• Certification in SAP MDM / MDG preferred.

At F5, we strive to bring a better digital world to life. Our teams empower organizations across the globe to create, secure, and run applications that enhance how we experience our evolving digital world. We are passionate about cybersecurity, from protecting consumers from fraud to enabling companies to focus on innovation.
Everything we do centers around people. That means we obsess over how to make the lives of our customers, and their customers, better. And it means we prioritize a diverse F5 community where each individual can thrive.

F5 is looking for Software Engineer II with in-depth experience in high scale distributed systems. You will participate in the design and implementation of of our Edge Computing platform that is used to deploy global, scalable and secure applications. Your work includes, but not limited to, Research, design and build highly reliable, available and scalable platforms, API definition, implementation, deployment, operational management, and debugging.

Responsibilities:

• Deliver solutions that will help create, deploy and manage the service components of the platform
• Investigate various open source and close source technologies, components, libraries, tools etc. and help build a highly available, highly scalable and easily manageable system
• Take ownership of software components and   deliver   a   complete   product   satisfying   functional, scale, performance   and manageability requirements.
• Hands-on   coding   in   multiple   languages   while   considering   performance,  scalability, maintainability, and flexibility
• Understanding and exposure to design patterns and coding practices especially as applied to microservices architectures and API design, implementation and management
• Experience in Cloud native providers like MS Azure or AWS or Google Cloud or any major Cloud vendors in the market and their services
• Independently investigate, present options, review and implement completely new functionality
• You will work closely with other development teams, product management, UX, and QA to define and implement a new product offering while ensuring continued functionality.
• Perform code reviews, set coding practices and guidelines within the team
• Ability to implement all phases of a development cycle for a software product from understanding requirements, going through design, development and deploy phases
• Work with geographically distributed teams

Minimum Qualifications:

• Knowledge and experience in highly distributed software systems, ability to understand the nuances and solve problems related to scale, performance and resiliency of such a system
• Experience in programming languages: Golang, Java, Python any objected oriented high level proprietary or open source language with strong programming constructs.
• Good understanding of programming fundamentals & their application to highly scalable web-based systems
• Experience in developing polyglot software using service definition language and framework like gRPC, Thrift, Google Protocol Buffers, OpenAPI etc.
• Must have hands on SQL or No SQL technologies.
• Experience working on CICD methodology and Git based workflow
• Experience in Docker technologies including experience in optimizing Docker image and managing Docker image lifecycle. Experience in orchestration systems like Kubernetes and container technologies like Docker, rkt is a plus
• Excellent written and verbal communication skills
• Strong interpersonal, team building, and mentoring skills
• BS/MS degree in Computer Science or equivalent with 3+ years of software development experience

Job Description - Sr Azure Data Engineer

Roles & Responsibilities:

1. Hands-on programming in C# / .Net,
2. Develop serverless applications using Azure Function Apps.
3. Writing complex SQL Queries, Stored procedures, and Views. 
4. Creating Data processing pipeline(s).
5. Develop / Manage large-scale Data Warehousing and Data processing solutions.
6. Provide clean, usable data and recommend data efficiency, quality, and data integrity.

Skills

1. Should have working experience on C# /.Net.
2. Proficient with writing SQL queries, Stored Procedures, and Views
3. Should have worked on Azure Cloud Stack.
4. Should have working experience ofin developing serverless code.
5. Must have MANDATORILY worked on Azure Data Factory.

Experience 

1. 4+ years of relevant experience

Job Description:-

• Develop and execute recruiting plans.
• Network through industry contacts, association memberships, trade groups, social media, and employees.
• Develop and track goals for the recruiting and hiring process.
• Coordinate and implement college recruiting initiatives.
• Handle administrative duties and recordkeeping.
• Collect data on cost per hire and time-to-hire.
• Screen applicants to evaluate if they meet the position requirements.
• Work with hiring managers to create job descriptions.
• Conduct regular follow-up with managers to determine the effectiveness of recruiting plans and implementation.

• Develop a pool of qualified candidates in advance of need.
• Research and recommend new sources for active and passive candidate recruiting.
• Advertise job openings on the company’s careers page, social media, job boards and internally.

Requirements

• Proven work experience as an HR Recruiter or similar role.
• Familiarity with Applicant Tracking Systems and resume databases.
• Experience with sourcing techniques.
• Understanding of referral programs.
• Solid verbal and written communication skills.
• Sound judgement.