The Machine Learning Engineer will develop scalable machine learning solutions, analyze customer data, implement algorithms, and automate processes for business insights.
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
Fintech • Machine Learning • Payments • Software • Financial Services
Lead the design and implementation of machine learning applications, collaborating with cross-functional teams while mentoring junior developers and ensuring model performance.
Top Skills:
DockerNomadPythonPyTorchSQLTransformers
HR Tech • Information Technology
Lead the development of scalable AI/ML platforms, drive technical strategy, mentor engineers, and collaborate across teams to innovate solutions.
Top Skills:
Ai/Ml InfrastructureAws ServicesCi/CdDistributed SystemsJavaKubernetesPythonRaySparkTerraform
Fintech • Machine Learning • Payments • Software • Financial Services
As a Distinguished Engineer, you will lead engineering efforts for the Personalization Platform, advocating technical strategies, mentoring engineers, and facilitating cross-functional collaborations to optimize machine learning solutions across Capital One's financial products.
Top Skills:
AirflowAWSAzureCloud EngineeringDatabricksDockerGCPKubernetesMachine LearningPyTorchScikit-LearnTensorFlow
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
