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
Leads the design, development, deployment, and operation of production AI/ML solutions, including generative AI, RAG, agentic workflows, conversational AI, predictive models, and automation. The role establishes responsible AI practices, integrates enterprise data and APIs, improves evaluation and observability, partners with cross-functional teams, mentors engineers, and drives initiatives from proof of concept through production scale.
Top Skills:
AWSCi/CdEmbeddingsGenerative AiInfrastructure As CodeJavaKubernetesLarge Language ModelsLlmopsMcpMicroservicesMlopsNatural Language ProcessingPythonRestful ApisRetrieval-Augmented GenerationSemantic SearchStrands AgentsVector Databases
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
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

