Machine Learning Engineer

**Who We Are**:
OnebyZero is a data-first customer strategy firm offering end-to-end business transformation. Headquartered in Singapore with local presence in the 6 countries in ASEAN and India, and with a team of expert practitioners and technologists, we deliver sustainable business outcomes using AI/ML.

**Duration**:6 weeks

**The Role: ML Engineer**

As a Machine Learning Engineer, you will play a crucial role in the development and implementation of cutting-edge artificial intelligence products and solutions for our customers. You will be working on a variety of challenging problems involving descriptive, diagnostic, predictive and prescriptive analytics with customers in different industries such as financial services, telecommunications and retail.

You will be tasked with building and operationalizing models such as customer segmentation models, purchase propensity models, recommendation models, churn models, anomaly detection models, time-series prediction models, etc. You may use a variety of algorithms from packages such as scikit-learn, statsmodels, xgboost, tensorflow and pytorch. You’ll also use state-of-the-art MLOps practices to help evaluate different models, manage them and deploy them to production. Finally, we are looking for creative thinkers to help us innovate as we work without customers and help develop reusable assets that can work across different customer engagements.

Since you’ll be working on deploying models in production, you are also responsible for upholding a high standard of code quality, and writing and maintaining documentation and tests for the code you write and models you develop.

**Basic Qualifications**
- 3+ years experience in Machine Learning or similar roles with a Degree in Computer Science
- Proficiency in data mining and machine learning techniques
- Understanding of basic software engineering design principles, and the ability to write clean,

well-structured, maintainable and testable code
- Experience with Python and its machine learning/data mining toolkits, such as pandas, scipy,

numpy, scikit-learn, prophet, xgboost, tensorflow and pytorch on Linux
- Experience using data science notebooks like Jupyter
- Good presentation and communication skills, and ability to interact with customers
- Experience of deploying models on cloud platforms like AWS, Databricks

**Preferred Qualifications**
- Experience in distributed ML techniques (such as Ray)
- Experience in telecommunications, financial services, or retail domains
- Knowledge of data visualization packages, in Python and outside
- Have an AWS (or Azure or GCP) ML Certification
- Experience using **AWS Lambda **and **API Gateway **to deploy serverless machine learning models or pipelines.
- Experience with **deep learning frameworks **such as **TensorFlow **, **PyTorch **, or **Keras **.
- Experience in **hyperparameter tuning **and **model optimization **using SageMaker **Hyperparameter Tuning **and **Automatic Model Tuning **.
- Experience in implementing **MLOps **(Machine Learning Operations) for automated model training, versioning, deployment, and monitoring.
- Proficiency in programming languages such as **Python **(preferred for ML and data science)

**What We Offer**
- An opportunity to be part of an agile, highly proficient and experienced AI/ML team
- An opportunity to work on challenging data science and machine learning problems with

customers and seeing your work deployed in action
- A fast-paced software development environment that uses the latest open-source tools across

the development stack