Lead architecture and implementation of ML-driven features (including generative AI/LLMs and optimization) across cloud and mobile. Build production model deployment, CI/CD and experimentation infrastructure, define technical strategy from ambiguous product requirements, and own Agile delivery and technical risk communication while collaborating with Product, Engineering, and Data Science.
At PortPro, we are revolutionizing the drayage industry with our premier web-based operating system. As a fast-growing company, we are building out the most comprehensive technology platform to optimize supply chains and make them more efficient. By joining our team at the ground level, you will have the opportunity to be a part of our company's growth and expansion as a global organization, while also making a significant impact on the world. Supply chains are a crucial part of the global economy, and by working to improve them, we are not only solving problems for our own benefit, but for the benefit of society as a whole.
Responsibilities
- You'll lead the architecture design and execution to build machine learning-based solutions in the cloud and on a mobile app. This will include but is not limited to the use of Generative AI/Large Language Models (LLMs),Optimization Problems, building Domain Specific LLMs..
- You will be expected to work full stack across mobile app, cloud services to deliver ML-backed features for customers
- You will identify, invent and follow best practices for deploying ML to the cloud and app.
- Translate ambiguous product definition into detailed requirements, and end-to-end technical strategy docs.
- Define and develop infrastructure to build, release and test updates to underlying ML models in production systems. You will build solutions that let the team quickly experiment while maintaining an exceptionally high quality bar for shipped software.
- You will lead SCRUM/Agile ceremonies to create and execute consistent and timely delivery. You will identify and represent technical risks to the customer experience, or its delivery to senior leaders and stakeholders.
The Work
- You'll work with Production, Engineering, Data Science to plan, design and deliver customer-facing experiences.
- Be hands-on in shaping product, user experience, and team processes to iterate quickly.
- Expect to dive deep into the customer problem.
- This team will develop expertise in building software that directly influences real-world human behavior.
Our team is like family. Working at PortPro, we want you to feel like you are part of the bigger picture, not just working for yourself. We work in a no-drama, no-ego environment We work together and collaboratively to achieve the same goal. We are a team of smart, kind, hard working people. You’ll be surrounded by those that inspire you to bring your best self to work each day.
We're an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
Similar Jobs
.png)
Consumer Web • eCommerce • Machine Learning • Software • Sports • Analytics
Own an AI portfolio across a business domain, identify and prioritize opportunities, and personally build production agentic solutions end to end. Establish reusable patterns, evaluations, human-in-the-loop controls, and measurable business outcomes. Partner with functional leaders, earn stakeholder trust, guide platform choices, and improve team capability through mentoring, design and code reviews, and interviewing. Build reliable, secure, scalable applications around AI systems across frontend and backend layers.
Top Skills:
Ai AgentsBackend SystemsClaudeFrontend ApisOpenaiOrchestration Platforms
Healthtech • Social Impact • Software
Build and advance application and product security across the engineering organization. Responsibilities include establishing secure defaults, CI guardrails, security requirements, threat modeling, risk assessments, penetration testing, vulnerability remediation, secure coding education, roadmap ownership, and hands-on code review. The role partners closely with product, engineering, DevOps, and services teams to secure applications, microservices, and AI features while enabling efficient development.
Top Skills:
Ci/CdDastMicroservicesPenetration TestingSastSbomThreat Modeling
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Provides first-line technical support for Hivemind software customers and field teams. The role collects evidence, analyzes logs and telemetry, triages software, deployment, configuration, API, licensing, and integration issues, routes cases to engineering or support owners, communicates customer updates, validates issues in lab or simulation environments, and creates troubleshooting documentation and knowledge-base content. It also supports releases, onboarding, deployment handoffs, and supportability metrics.
Top Skills:
C++Linux
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
