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

About Graphene Services Pte Ltd
About
Connect with the team
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Radhika Sharma
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Estabizz fintech private limited
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Regards
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You shall work with the Lead and product team to define and deliver features.
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Be part of the Agile team, to define Sprint work content definition.
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Work with cross functional teams to drive overall feature delivery.
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Be part of the initiatives that achieve the functional requirements of the team. Explore technical feasibility of solutions, propose and evaluate tech stacks.
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Performance tuning and benchmarking of the features
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Strong knowledge and Hands on experience with Nodejs, RestAPI, Java Script, Java Development experience in cloud based infrastructure
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Strong fundamentals in any fullstack of your choice, OOPS concepts, Google Cloud Platform. Knowledge of Java, React, React Native, Android Native , HTML5, Firebase and Go Programming is a plus.
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Knowledge of Cloud Based solutions would be a plus.
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Strong experience with Agile methodology, along with tools such as JIRA, Confluence.
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Flashing and debugging tools experience is a plus.
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Bachelor’s/Master’s in computer science or any other equivalent degree
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If you are keen to be a part of a close knit family and aspire to grow insanely big, do write back.









