Graphene Services Pte Ltd
http://www.grapheneai.com
Jobs at Graphene Services Pte Ltd
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
PythonAbout Graphene
Graphene is a Singapore Head quartered AI company which has been recognized as Singapore’s Best
Start Up By Switzerland’s Seedstarsworld, and also been awarded as best AI platform for healthcare in Vivatech Paris. Graphene India is also a member of the exclusive NASSCOM Deeptech club. We are developing an AI plaform which is disrupting and replacing traditional Market Research with unbiased insights with a focus on healthcare, consumer goods and financial services.
Graphene was founded by Corporate leaders from Microsoft and P&G, and works closely with the Singapore Government & Universities in creating cutting edge technology which is gaining traction with many Fortune 500 companies in India, Asia and USA.
Graphene’s culture is grounded in delivering customer delight by recruiting high potential talent and providing an intense learning and collaborative atmosphere, with many ex-employees now hired by large companies across the world.
Graphene has a 6-year track record of delivering financially sustainable growth and is one of the rare start-ups which is self-funded and is yet profitable and debt free. We have already created a strong bench strength of Singaporean leaders and are recruiting and grooming more talent with a focus on our US expansion.
Job title: - Data Analyst
Job Description
Data Analyst responsible for storage, data enrichment, data transformation, data gathering based on data requests, testing and maintaining data pipelines.
Responsibilities and Duties
- Managing end to end data pipeline from data source to visualization layer
- Ensure data integrity; Ability to pre-empt data errors
- Organized managing and storage of data
- Provide quality assurance of data, working with quality assurance analysts if necessary.
- Commissioning and decommissioning of data sets.
- Processing confidential data and information according to guidelines.
- Helping develop reports and analysis.
- Troubleshooting the reporting database environment and reports.
- Managing and designing the reporting environment, including data sources, security, and metadata.
- Supporting the data warehouse in identifying and revising reporting requirements.
- Supporting initiatives for data integrity and normalization.
- Evaluating changes and updates to source production systems.
- Training end-users on new reports and dashboards.
- Initiate data gathering based on data requirements
- Analyse the raw data to check if the requirement is satisfied
Qualifications and Skills
- Technologies required: Python, SQL/ No-SQL database(CosmosDB)
- Experience required 2 – 5 Years. Experience in Data Analysis using Python
• Understanding of software development life cycle
- Plan, coordinate, develop, test and support data pipelines, document, support for reporting dashboards (PowerBI)
- Automation steps needed to transform and enrich data.
- Communicate issues, risks, and concerns proactively to management. Document the process thoroughly to allow peers to assist with support as needed.
- Excellent verbal and written communication skills
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
JavascriptPython
AngularJS (1.x)WE ARE GRAPHENE
Graphene is an award-winning AI company, developing customized insights and data solutions for corporate clients. With a focus on healthcare, consumer goods and financial services, our proprietary AI platform is disrupting market research with an approach that allows us to get into the mind of customers to a degree unprecedented in traditional market research.
Graphene was founded by corporate leaders from Microsoft and P&G and works closely with the Singapore Government & universities in creating cutting edge technology. We are gaining traction with many Fortune 500 companies globally.
Graphene has a 6-year track record of delivering financially sustainable growth and is one of the few start-ups which are self-funded, yet profitable and debt free.
We already have a strong bench strength of leaders in place. Now, we are looking to groom more talents for our expansion into the US. Join us and take both our growths to the next level!
WHAT WILL THE ENGINEER DO?
- Primary Purpose: As part of a highly productive and creative AI (NLP) analytics team, design and develop web applications and SPA’s i.e., UI/UX, and underlying backend – API’s, security framework, scalable microservices etc.
- Daily Grind: Interface with the product manager, project managers, and the engineering team to achieve sprint goals on the product roadmap.
- Career Progression: Senior Full Stack Engineer, Technical Architect
YOU CAN EXPECT TO
- Work in a product-development team capable of independently authoring software products.
- Guide junior programmers, set up the architecture, and follow modular development approaches.
- Design and develop code which is well documented.
- Optimize of the application for maximum speed and scalability
- Adhere to the best Information security and Devops practices.
- Research and develop new approaches to problems.
- Design and implement schemas and databases with respect to the AI application
- Cross-pollinated with other teams.
HARD AND SOFT SKILLS
Must Have
- Problem-solving abilities
- Extremely strong programming background – data structures and algorithm
- Angular/React, Strong UI/UX skills
- Very strong python background, TDD, CI/CD,
- Software design skills i.e., OOPs, design patterns
- SQL, NoSQL – design of schemas and databases
- Microservices architecture, Cloud native apps
Good to Have
- Enterprise Design Patterns
- Distributed Systems
- Exposure to ML and Data Science
- Docker, Kubernetes, AKS, Kafka, Graph databases
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
About Graphene
Graphene is a Singapore Head quartered AI company which has been recognized as Singapore’s Best Start Up By Switzerland’s Seedstarsworld, and also been awarded as best AI platform for healthcare in Vivatech Paris. Graphene India is also a member of the exclusive NASSCOM Deeptech club. We are
developing an AI platform which is disrupting and replacing traditional Market Research with unbiased insights with a focus on healthcare, consumer goods and financial services.
Graphene was founded by Corporate leaders from Microsoft and P&G and works closely with the Singapore Government & Universities in creating cutting edge technology which is gaining traction with many Fortune 500 companies in India, Asia and USA.
Graphene’s culture is grounded in delivering customer delight by recruiting high potential talent and providing an intense learning and collaborative atmosphere, with many ex-employees now hired by large companies across the world.
Graphene has a 6-year track record of delivering financially sustainable growth and is one of the rare start-ups which is self-funded and is yet profitable and debt free. We have already created a strong bench strength of Singaporean leaders and are recruiting and grooming more talent with a focus on our US expansion.
Job title: Cloud Admin Responsibilities and Duties
Cloud Systems Administrator position responsibilities includes:
- Configure and fine tune cloud infrastructure
- Install and configure virtual cloud
- Support cloud servers including security configurations, patching, and
- Establish Virtual Private Networks (VPNs) to customer
- Develop scripts for automating client/server
- Monitoring, automating processes & recovery
- SQL server and noSQL dB configuration, maintenance and administration
- Network admin and configuration
Qualifications and Skills:
- Engineering degree in Computer Science or equivalent
- Minimum of 4 years with Linux/Windows server administration
- Proficient with MS SQL Server administration, Cosmos DB
- Experience with supporting application and database servers
- Strong experience with IIS, other web servers
- Strong experience with Security – Identity, Access Control and Data Protection
- Strong experience with Microsoft Azure
- DevOps skills – Automated build and release management experience
- Resource and Cost Optimization
- Experience with Docker and Kubernetes. Certifications like CKAD a plus
- Certification on Azure Administration (AZ – 104) a plus
General Attributes
- Should have the passion to work for the organization thereby growing with the
- A good team player as well as be able to contribute individually as and when
- Should be able to mentor juniors if any need
- Should be able to learn any new technology if the project
- Leadership Capability, Self-motivated, highly collaborative, working through uncertainties and unknowns, Exceptional analytical and problem-solving skills, Getting things done, Continuous learning
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Deep LearningPython
Machine Learning (ML)WE ARE GRAPHENE
Graphene is an award-winning AI company, developing customized insights and data solutions for corporate clients. With a focus on healthcare, consumer goods and financial services, our proprietary AI platform is disrupting market research with an approach that allows us to get into the mind of customers to a degree unprecedented in traditional market research.
Graphene was founded by corporate leaders from Microsoft and P&G and works closely with the Singapore Government & universities in creating cutting edge technology. We are gaining traction with many Fortune 500 companies globally.
Graphene has a 6-year track record of delivering financially sustainable growth and is one of the few start-ups which are self-funded, yet profitable and debt free.
We already have a strong bench strength of leaders in place. Now, we are looking to groom more talents for our expansion into the US. Join us and take both our growths to the next level!
WHAT WILL THE ENGINEER-ML DO?
- Primary Purpose: As part of a highly productive and creative AI (NLP) analytics team, optimize algorithms/models for performance and scalability, engineer & implement machine learning algorithms into services and pipelines to be consumed at web-scale
- Daily Grind: Interface with data scientists, project managers, and the engineering team to achieve sprint goals on the product roadmap, and ensure healthy models, endpoints, CI/CD,
- Career Progression: Senior ML Engineer, ML Architect
YOU CAN EXPECT TO
- Work in a product-development team capable of independently authoring software products.
- Guide junior programmers, set up the architecture, and follow modular development approaches.
- Design and develop code which is well documented.
- Optimize of the application for maximum speed and scalability
- Adhere to the best Information security and Devops practices.
- Research and develop new approaches to problems.
- Design and implement schemas and databases with respect to the AI application
- Cross-pollinated with other teams.
HARD AND SOFT SKILLS
Must Have
- Problem-solving abilities
- Extremely strong programming background – data structures and algorithm
- Advanced Machine Learning: TensorFlow, Keras
- Python, spaCy, NLTK, Word2Vec, Graph databases, Knowledge-graph, BERT (derived models), Hyperparameter tuning
- Experience with OOPs and design patterns
- Exposure to RDBMS/NoSQL
- Test Driven Development Methodology
Good to Have
- Working in cloud-native environments (preferably Azure)
- Microservices
- Enterprise Design Patterns
- Microservices Architecture
- Distributed Systems
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
JavascriptPythonAngularJS (1.x)
React.jsWE ARE GRAPHENE
Graphene is an award-winning AI company, developing customized insights and data solutions for corporate clients. With a focus on healthcare, consumer goods and financial services, our proprietary AI platform is disrupting market research with an approach that allows us to get into the mind of customers to a degree unprecedented in traditional market research.
Graphene was founded by corporate leaders from Microsoft and P&G and works closely with the Singapore Government & universities in creating cutting edge technology. We are gaining traction with many Fortune 500 companies globally.
Graphene has a 6-year track record of delivering financially sustainable growth and is one of the few start-ups which are self-funded, yet profitable and debt free.
We already have a strong bench strength of leaders in place. Now, we are looking to groom more talents for our expansion into the US. Join us and take both our growths to the next level!
WHAT WILL THE Full Stack Engineer DO?
- Primary Purpose: As part of a highly productive and creative AI (NLP) analytics team, design and develop web applications and SPA’s i.e., UI/UX, and underlying backend – API’s, security framework, scalable microservices etc.
- Daily Grind: Interface with the product manager, project managers, and the engineering team to achieve sprint goals on the product roadmap.
- Career Progression: Senior Full Stack Engineer, Technical Architect
YOU CAN EXPECT TO
- Work in a product-development team capable of independently authoring software products.
- Guide junior programmers, set up the architecture, and follow modular development approaches.
- Design and develop code which is well documented.
- Optimize of the application for maximum speed and scalability
- Adhere to the best Information security and Devops practices.
- Research and develop new approaches to problems.
- Design and implement schemas and databases with respect to the AI application
- Cross-pollinated with other teams.
HARD AND SOFT SKILLS
Must Have
- Problem-solving abilities
- Extremely strong programming background – data structures and algorithm
- Angular/React, Strong UI/UX skills
- Very strong python background, TDD, CI/CD,
- Software design skills i.e., OOPs, design patterns
- SQL, NoSQL – design of schemas and databases
- Microservices architecture, Cloud native apps
Good to Have
- Enterprise Design Patterns
- Distributed Systems
- Exposure to ML and Data Science
- Docker, Kubernetes, AKS, Kafka, Graph databases
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