Senior Machine Learning Engineer - Singapore - NodeFlair

NodeFlair

Verified Company

Singapore

3 weeks ago

Posted by:

Wei Jie

beBee Recruiter

Description

Job Summary:

Salary
S$10,500

$11,500 / Monthly

Job Type

Seniority
Senior

Years of Experience
At least 8 years

Tech Stacks
TensorFlow AWS Docker Go Analytics Google Cloud PyTorch Kubernetes JavaScript Python

About the Company

is a fully remote (Singapore HQ) startup, building a low code development devtool platform to help accelerate developers & designers to launch their core web/mobile products 5-10x faster.

Having raised $3M in seed funding from the likes of Northstar Ventures, Accel, January Capital, Golden-Gate Ventures, BoldCap and backed by founders of Dropbox, Ola, Lottiefiles, Hasura, Holistics, Wego, Paysense, GajiGesa, Ohmyhome, 1bstories, Cyber-Sierra, it launched its beta platform in January 2022.

We're young, but we've made some serious progress - our Product Hunt launch in July 2022 was really encouraging and our community feedback has been strong We got #1 Product of the Day, Week and Month subsequently along with #1 Developer Tool and #1 Design Tool of the Day, Week and Month, and it's been a crazy ride ever since

The founders have held CxO roles in Product & Technology at some of Asia's top startups covering Gaming, Travel, Fintech, Healthtech and SaaS, and won multiple awards for their products globally.

After years building these products, they're now determined to build a devtools SaaS platform from South-East Asia to improve the lives of product & engineering teams globally

At the heart of everything, Locofy's mission is to build for builders i.e. developers, designers & product managers. As builders ourselves, we want to allow anyone with any idea to be able to build world-class products with lean teams, by empowering their teams with digital steroids to move faster

Reports To
Head of AI (but work closely with both founders & founding employees)

Job Location

While the core team is based in Singapore/Vietnam, we're remote first, and where you're based does not matter eventually What matters is trust & accountability and the will to build a world class product.

Position Overview

is seeking a highly skilled and experienced Machine Learning Engineer with 5+ years of experience in deploying scalable machine learning and AI solutions at fast-paced tech companies, with prior frontend/web engineering experience, preferably having worked at early-to-mid-stage startups.

As a Machine Learning Engineer, you will design, develop, and deploy machine learning models and AI systems to extract valuable insights from large datasets and make useful predictions in the Locofy product.

You will collaborate closely with cross-functional teams, including data scientists, software engineers, and product managers, to deliver high-quality, scalable and efficient cutting-edge machine learning and AI solutions.

Responsibilities:

Preprocess and clean large datasets to ensure data quality and integrity.
Conduct exploratory data analysis (EDA) to gain insights into data characteristics, identify patterns, and uncover hidden relationships.
Collaborate with data scientists, engineers and product managers to understand project requirements and translate them into technical specifications.
Implement and optimize machine learning algorithms to achieve high accuracy, scalability, and performance.
Evaluate and benchmark different machine learning models to determine their effectiveness and suitability for specific tasks.
Perform feature engineering and feature selection to enhance model performance.
Collaborate with data scientists to integrate machine learning models into production systems and ensure seamless deployment.
Monitor and analyze model performance and make necessary adjustments to improve accuracy and efficiency.
Stay uptodate with the latest advancements in LLMs, AI models, machine learning techniques, frameworks, and libraries to continuously improve the team's capabilities.

Qualifications:

BS or MS degree in Computer Science, Machine Learning or a related field.
Minimum of 5 years of experience as a Machine Learning Engineer, deploying scalable machine learning and AI solutions at fastpaced tech companies, preferably earlytomidstage tech startups.

- ~2 Experience with frontend or full stack engineering will be crucial

Solid understanding of machine learning algorithms, including supervised and unsupervised learning, deep learning, and reinforcement learning.
Proficiency in programming languages such as Python, Golang, Javascript and experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, HuggingFace or scikitlearn.
Strong knowledge of data preprocessing, feature engineering, and model evaluation techniques.
Familiarity with cloud platforms such as AWS and Google Cloud for developing and deploying machine learning models at scale.
Solid understanding of software development principles, version control systems, and agile methodologies.
S