Staff/Senior AI/ML Engineer - Python/TensorFlow/PyTorch, MLflow/Cloud

Company Overview 

10Pearls is an award-winning end-to-end digital innovation company that helps businesses imagine and build the future. We are proud to announce that 10Pearls was named as winner of the Best Tech Work Culture Timmy Award in Washington DC by Tech in Motion, recognized on the Inc. 5000 Fastest-Growing Companies List, and was ranked the #1 Most Diverse Midsize Company in Greater Washington. We partner with businesses to help them transform, scale, and accelerate by adopting digital and exponential technologies. Our work has ranged from creating highly usable, secure digital experiences, mobile and software products, to helping businesses modernize through cloud adoption and development and the digitalization of their business processes. Our clientele is highly diverse, including Global 1000 enterprises, mid-market businesses, and even high-growth start-ups. But those are just the facts. What makes us unique is that we have true heart and soul. We have a strong focus on a double bottom line and actively support and engage with the communities where we live and work to make the world a better place. In a nutshell, we believe in doing well, while doing good and know how to balance the two. 
 
Role: 
As a Senior AI and Machine Learning Engineer, you will design, implement, and optimise scalable machine learning models and deployment pipelines using Python and leading ML frameworks. You will work with cross-functional teams to integrate ML algorithms into cloud environments, delivering robust, efficient, and secure AI solutions. 
 
Responsibilities: 

• Design, develop, and deploy scalable machine learning models using Python. 

  
  

• Implement and optimise ML algorithms and deep learning models, applying best practices in model development. 

  
  

• Utilise frameworks such as scikit-learn, TensorFlow, and PyTorch for model building and experimentation. 

  
  

• Manage the end-to-end ML lifecycle using MLflow, including tracking experiments, packaging code, and model versioning. 

  
  

• Collaborate with cloud teams to integrate and deploy models in cloud environments, ensuring robust and efficient operations. 

  
  

• Monitor deployed models, troubleshoot issues, and maintain high availability and performance. 

  
  

• Work closely with data scientists, software engineers, and stakeholders to deliver impactful AI/ML solutions. 

  
  

Requirements: 

• 7+ years of experience in AI/ML engineering, with a strong focus on Python programming. 

  
  

• In-depth knowledge of machine learning algorithms and foundational deep learning concepts. 

  
  

• Hands-on experience with scikit-learn, TensorFlow or PyTorch, and MLflow. 

  
  

• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and basic cloud deployment practices. 

  
  

• Proven ability to deploy, monitor, and maintain machine learning models in production environments. 

  
  

• Excellent problem-solving skills and effective communication abilities.