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, develop, and deploy AI-powered healthcare solutions using Java and Spring Boot microservices. Implement HL7 FHIR and Da Vinci interoperability standards across prior authorization, claims, eligibility, and provider domains. Build Kafka-based event-driven services, integrate relational databases, automate CI/CD, deploy with Docker and Kubernetes on AWS or Azure, and establish monitoring using Splunk, ELK, Prometheus, and Grafana.
Top Skills:
Apache KafkaAWSAzureAzure DevopsDa Vinci Implementation GuidesDockerElkGitGitGithub ActionsGrafanaHibernateHl7 FhirJava 17/21JenkinsJwtKubernetesMySQLOauth 2.0OraclePostgresPrometheusRest ApisSplunkSpring BootSpring Data Jpa
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Lead the design, development, and deployment of AI-powered healthcare solutions and Java/Spring Boot microservices. Build interoperable clinical platforms using HL7 FHIR and Da Vinci standards, event-driven Kafka components, relational databases, CI/CD pipelines, containers, cloud infrastructure, and observability tools. Address clinical workflows, prior authorization, claims, eligibility, and provider-data challenges while evaluating emerging technologies and promoting responsible AI use.
Top Skills:
Apache KafkaAWSAzureAzure DevopsDa Vinci Implementation GuidesDockerElkGitGitGithub ActionsGrafanaHibernateHl7 FhirJava 17/21JenkinsJwtKubernetesMicroservicesMySQLOauth 2.0OraclePostgresPrometheusRest ApisSplunkSpring BootSpring Data Jpa
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Design, deploy, and improve enterprise AI solutions including LLM workflows, RAG pipelines, agents, classifiers, and copilots. Develop prompt strategies, tool-calling patterns, guardrails, evaluation frameworks, and responsible AI controls. Partner with data, security, privacy, compliance, architecture, and QA teams to ensure solutions are safe and governed. Monitor production quality, accuracy, hallucination risk, latency, cost, observability, and model drift while documenting limitations and operational requirements.
Top Skills:
Agent FrameworksData PipelinesEmbeddingsEvaluation ToolingLlmsModel ApisModel MonitoringModel ObservabilityOrchestration FrameworksPrompt EngineeringPythonRagVector Search
What you need to know about the Colorado Tech Scene
With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

