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. 
  

Requirements

• 7+ 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 
  

• 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) 
  

• Experience integrating Generative AI models (e.g., GPT, BERT) into production applications on AWS. 
  

Benefits

WHAT WE OFFER

• You'll have the opportunity to work with a team of industry experts on exciting projects that transform businesses and create significant value. Join us to revolutionize the way companies leverage technology for digital transformation.
  

• 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
  

• An opportunity to be part of an agile, highly proficient and experienced AI/ML team
  

BENEFITS

We provide a competitive salary and benefits package, a vibrant work environment, and numerous opportunities for professional growth.

OnebyZero is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.