Design and deliver customer experience solutions using machine learning techniques, analyze customer data, implement ML algorithms, and automate processes.
PTP is a fast-growing system integrator that offers strategic Customer Experience (CX) solutions to our clients. We are looking for a Machine Learning Engineer to help us design and deliver CX solutions that provide our clients with a beautiful customer journey that achieves results. At PTP we value aptitude and creativity as well as experience. We are a diverse organization and are looking for bright, passionate, and committed professionals who strive to be the best at what they do.
Responsibilities
- Use machine learning techniques to create scalable solutions for business problems
- Analyze and extract key insights from rich stores of customer data
- Research and implement ML algorithms for a variety of business problems
- Automate processes for analyses, model development, validation, and implementation
- General application data and performance analysis
Requirements
- 2+ years experience with:
- Natural language processing (NLP)
- Free-text analytics
- Machine learning (ML) algorithms
- Predictive modeling and analysis
- Data visualization software (Tableau preferred)
- Familiarity with AWS SageMaker
- Strong programming skills in Python
- Experience with SQL and NoSQL databases
- Strong problem-solving ability
- Excellent written and verbal communication and skills
- Degree in Computer Science or related field
Top Skills
Aws Sagemaker
NoSQL
Python
SQL
Tableau
Similar Jobs
Artificial Intelligence • Cloud • Sales • Security • Software • Cybersecurity • Data Privacy
The Senior Machine Learning Engineer will design and optimize ML models, manage end-to-end ML projects, and enhance SailPoint's AI capabilities while collaborating with various teams to integrate AI features into products.
Top Skills:
AirflowAws SagemakerCloudbeesDbtGoJenkinsKafkaPythonPyTorchQlikScikit-LearnShell/BashSnowflakeSparkSQLTableauTensorFlow
Retail • Sports
Join DICK'S Sporting Goods as a Senior Machine Learning Engineer, focusing on AI-driven search solutions that enhance decision-making and engagement across the organization.
Top Skills:
AWSAzureC++DockerElasticsearchGCPJava/ScalaKafkaKubernetesPythonPyTorchSolrSparkTensorFlow
Big Data • Marketing Tech • Analytics
Join Experian as a Junior Machine Learning Engineer, focusing on building agentic workflows, integrating LLMs, and enhancing automation in the Experian Assistant platform.
Top Skills:
AWSDockerKubernetesLangchainOpenai Responses ApiPython
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute


