Design, develop, and deploy AI/ML models and pipelines. Train, fine-tune, and monitor models using TensorFlow/PyTorch/Scikit-learn. Build APIs/microservices, integrate models into production, collaborate with cross-functional teams, and ensure scalability and reliability.
This is a remote position.
Who We Are:
At Advancio, we are passionate about technology and its ability to transform the world. We are rapidly expanding and building a company where we serve exceptional businesses, hire top talent, and have a lot of fun doing what we love!
Job Summary:
We are seeking a talented AI Developer to design, develop, and deploy intelligent solutions that solve complex problems. The ideal candidate has hands-on experience with machine learning frameworks, AI algorithms, and integrating AI models into scalable applications.
Requirements
- Develop and implement AI and machine learning models to solve specific business challenges.
- Collaborate with cross-functional teams to identify opportunities for AI-driven solutions.
- Train, fine-tune, and deploy models using frameworks like TensorFlow, PyTorch, or Scikit-learn.
- Design and optimize AI pipelines for data preprocessing, model training, and deployment.
- Build and maintain APIs or microservices to integrate AI solutions into existing applications.
- Monitor and evaluate the performance of deployed models, ensuring scalability and reliability.
- Stay updated with the latest advancements in AI/ML technologies and best practices.
Qualifications:
- 4+ years of professional experience in AI/ML development.
- Advanced English communication skills, both written and verbal.
- Strong programming skills in Python, with experience in libraries like NumPy, Pandas, and Scikit-learn.
- Proficiency in AI/ML frameworks such as TensorFlow, PyTorch, or Keras.
- Experience in data preprocessing, feature engineering, and working with large datasets.
- Knowledge of cloud platforms (Azure, AWS, or GCP) and deploying AI models in production.
- Familiarity with version control systems (e.g., Git) and CI/CD pipelines.
- Strong understanding of algorithms, data structures, and mathematics behind AI models.
Similar Jobs
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Design and build production-grade GenAI solutions: RAG pipelines, agentic multi-agent workflows, knowledge-base chatbots, vector DBs, LLM integrations, observability, PII redaction, and deploy AI backends with monitoring and documentation.
Top Skills:
Amazon ConnectAws BedrockBedrock AgentsClaudeDockerFastapiFireworks AiGpt-4OGroqGuardrailsHybrid SearchHydeLangchainLanggraphLangsmithLex V2Llama 3LoraMistralModel Context Protocol (Mcp)OpentelemetryPgvectorPhoenixPineconePythonQloraRagasSemantic KernelSemantic SearchVector DatabasesWeaviate
Cloud • Information Technology • Security • Software • Cybersecurity
Design and scale a reusable Customer Success AI platform: build foundational AI infrastructure (orchestration, memory, context, workflow engines), optimize model routing, observability, governance, and security, lead architecture and standards, mentor engineers, and partner cross-functionally to deliver enterprise-grade, multi-product AI capabilities.
Top Skills:
Agentic LoopsAPIsCloud-NativeContext EnginesDistributed SystemsEnterprise MemoryGovernanceKnowledge GraphsLlm OrchestrationMcp ServersMemory ServicesMulti-Agent SystemsObservabilityOrchestration ServicesPlanning SystemsRagSecuritySemantic ModelsState Management FrameworksVector SearchWorkflow Execution Frameworks
Fintech • Machine Learning • Payments • Software • Financial Services
Design, build, deploy, and support large-scale AI systems including foundation model training, LLM inference, similarity search, guardrails, evaluation, and observability. Collaborate cross-functionally, optimize model performance and cost, and contribute to technical vision and roadmap for foundational AI platforms.
Top Skills:
AWSAws UltraclustersAzureC#C++GoGCPHugging FaceJavaNemo GuardrailsPythonPyTorchScalaVectordbs
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



