Principal ML/AI Engineer

Develop and maintain wallet payment solutions using Golang and AWS.

Lead technical decision-making and mentor engineering teams.

Lead design and development of scalable data pipelines.

Collaborate to define and deliver customer-centric data solutions.

Architect and deliver AI-powered contact center solutions

Lead and mentor technical teams

Lead technical initiatives for financial platform modernization

Design, build, and scale secure cloud-based microservices

Develop and maintain antifraud systems using modern technologies

Ensure high system reliability, scalability, and security

Automate security compliance for SMBs

Build scalable and maintainable backend systems

Architect scalable backend cloud solutions

Enable secure authentication and identity management

Build healthcare-focused software solutions

Integrate and manage complex data sources

Lead and develop a remote engineering team

Drive delivery of cloud-based open source solutions

Build and deploy real-time ML models for personalization and recommendations

Integrate machine learning outputs into mobile and backend user-facing features

Architect cloud and open source solutions for partners

Enable enterprise adoption of Canonical technologies

Develop high-quality software applications for clients

Leverage modern technologies and best practices

Provide custom software solutions

Deliver staff augmentation services

Deliver cross-platform app experiences for web, Android, and Windows.

Implement rapid prototyping and interactive UI development.

Develop scalable internal tools

Lead technical design and architecture

Build and productionize advanced AI systems using LLMs and agents.

Develop scalable platforms and backend infrastructure for AI-powered applications.

Empower client independence via cloud solutions

Drive innovation and transformation in DevOps

Develop scalable risk mitigation platforms

Implement real-time fraud detection systems

Lead and mentor cloud engineering teams

Drive technical growth and innovation

Develop scalable backend systems for ML orchestration

Automate workflows and integrate AI models

Manage and optimize multiple database systems

Implement robust backup and disaster recovery strategies

Lead and manage a cloud engineering team

Architect and maintain scalable cloud solutions

Develop and execute platform product strategy

Drive adoption of scalable, secure platform services

Develop scalable and innovative platform products

Lead and prioritize end-to-end product lifecycle

Accelerate client cloud migrations

Provide strategic technical guidance

Design and implement scalable data solutions

Lead and mentor engineering teams

Develop and operationalize AI/ML products

Integrate and optimize LLM applications

Design and implement scalable cloud data platforms

Lead data migration and integration projects

Design and lead data architecture solutions

Set and communicate data strategy and governance

Manage and optimize Windows infrastructure

Automate system tasks using scripting and IaC tools

Develop scalable full-stack applications

Collaborate with cross-functional remote teams

Deliver high-quality cloud infrastructure projects

Lead workload migrations and automation initiatives

Develop and maintain robust Microsoft stack applications

Enhance client experience and application performance

Automate and scale cloud infrastructure

Enhance reliability and efficiency of deployment pipelines

Lead development of orchestration platform

Ensure platform scalability, security, and observability

Architect and deploy AI/ML solutions for contact centers

Lead development and integration of Conversational AI and generative AI models

Build and deploy scalable, production-ready LLM-powered AI systems

Develop intelligent agents and multi-agent architectures for workflow automation

Lead technical architecture and platform evolution

Collaborate across teams to define and deliver solutions

Deliver complex cloud infrastructure projects

Migrate workloads to Google Cloud

Hire a remote Data Scientist

Emphasize MLOps expertise

Hire a remote data engineer

Build automated communication systems

Design and develop scalable financial platforms

Lead technical decision-making and best practices

Define and enforce enterprise system architecture.

Design and oversee secure system integrations.

Build and secure cloud infrastructure

Automate and enhance security processes

Ensure reliability and scalability of systems

Automate infrastructure management and deployment

Lead and mentor cloud engineering teams

Drive innovation and process improvement in cloud projects

Design and implement scalable backend systems

Enhance user experience through recommendations and content discovery

Automate AWS cloud deployments

Architect and implement best practices

Design and build scalable cloud platform solutions

Advocate agile methodologies and best practices

Lead full stack development of new products

Establish and uphold engineering best practices