Design and implement scalable ML solutions for customer experience problems. Analyze customer data, research and deploy ML/NLP models, automate model development and validation, and produce performance analyses.
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
Similar Jobs
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Design, deploy, and monitor production-grade machine learning and deep learning models for healthcare applications. Build scalable data pipelines and automated workflows using Databricks and related platforms, leverage agentic coding tools, and integrate AI services into enterprise applications. Apply responsible AI, governance, security, and monitoring practices while collaborating with software engineers, data architects, and clinical or business stakeholders.
Top Skills:
SparkAPIsCi/CdClaude CodeDatabricksDatabricks GenieDockerHugging FaceKubernetesLlmsNlpOpenai CodexPythonPyTorchRagScikit-LearnTensorFlow
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Design, develop, deploy, and operationalize enterprise-scale AI and machine learning solutions. Collaborate with engineering, product, and business teams to build scalable, secure, reliable, and responsible AI systems. Evaluate emerging technologies, participate in architecture and security reviews, troubleshoot complex applications, and mentor junior engineers. Apply cloud infrastructure, MLOps, modern programming languages, databases, and agentic AI capabilities to solve healthcare and business challenges.
Top Skills:
AngularAWSAzureClaudeCodexDockerFhirGenerative AiHipaaHl7JavaKubernetesLangchainLarge Language ModelsLlamaindexMlopsNosql DatabasesPineconePrompt EngineeringPythonRelational DatabasesVector Databases
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Designs, develops, deploys, and maintains production AI/ML solutions for healthcare, including predictive models, generative AI, statistical analysis, MLOps pipelines, and model monitoring. Builds scalable APIs and microservices, applies responsible AI practices, and collaborates with engineering, data, product, and clinical teams to improve care delivery and operational efficiency.
Top Skills:
SparkAPIsAWSAzureAzure Machine LearningCi/CdDatabricksDockerFhirGCPGenerative AiHipaaHitrustHl7KubernetesLarge Language ModelsMicroservicesMlopsNumpyPandasPrompt EngineeringPythonPyTorchRetrieval-Augmented GenerationSagemakerScikit-LearnScipySnowflakeTensorFlowVertex Ai
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
