Machine Learning Engineer

at Graphene Services Pte Ltd

Machine Learning Engineer

Graphene Services Pte Ltd

Company

Home

Machine Learning Engineer

at Graphene Services Pte Ltd

Posted by Swetha Seshadri

3 - 7 yrs

Best in industry

Remote, Bengaluru (Bangalore)

Skills

PyTorch

Deep Learning

Natural Language Processing (NLP)

Python

Machine Learning (ML)

Problem solving

Programming

Natural Language Toolkit (NLTK)

BERT

TensorFlow

Keras

Clustering

Hyperparameter Tuning

ML Engineer
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

ML Engineer
WE ARE GRAPHENE

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

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About Graphene Services Pte Ltd

Founded :

2014

Type :

Products & Services

Size :

100-1000

Stage :

Profitable

About

GrapheneAI is Asia's fastest growing Decision science company. Founded in 2014, our fundamental mission is to disrupt traditional market research using artificial intelligence. With a focus on Pharma and Healthcare, FMCG & Banking, and a leadership team made up of technology, domain and business experts, GrapheneAI brings to its engagements a practitioner's perspective and depth of industry insight. With offices in India, Singapore and the US, GrapheneAI has delivered solutions across the globe. Graphene uses AI-empowered market research to provide unbiased insights faster and cheaper. Built by domain experts in Pharma and Healthcare it supports 5 of the top 10 global pharma companies across 26 countries. GrapheneAI helps companies reduce time to market and significantly enhance engagement with key stakeholders including consumers, doctors, patients and caregivers. From awareness and sentiment, to perception and behavior, it provides actionable insights that helps companies address the challenges in pharma & healthcare (diagnosis, treatment and infrastructure) and FMCG (brand equity, campaign effectiveness) so that companies can better support patients/consumers. GrapheneAI provides insights in 55 different languages using a wide variety of sources that are relevant to respective domains (Pharma & Healthcare and FMCG).

Swetha Seshadri

Connect

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