Top Tech Jobs & Startup Jobs

Design, build, and maintain scalable data pipelines and workflows on GCP. Contribute across the project value chain, including infrastructure, data collection, machine learning models, REST APIs, front-end and back-end development, testing, and continuous deployment. Collaborate with diverse teams, communicate technical concepts to business stakeholders, troubleshoot complex issues, prioritize work, meet deadlines, and mentor team members.

Lead design, development, and deployment of LLM and generative AI solutions (RAG, agentic and multi-modal systems). Architect production-ready models, evaluation frameworks, and scalable infra (serving, APIs, vector DBs). Mentor teams, manage client engagements, drive experimentation (fine-tuning, quantization, inference optimization), and contribute to thought leadership.

Lead North America People strategy for the US and Canada, building scalable HR operations and talent programs. Own recruiting, workforce planning, employee relations, performance, compensation, benefits, immigration, L&D, policy, and HR ops while partnering with senior leaders and regional teams to support a rapidly scaling AI/data consulting business.

Join Artefact LatAm's Data & Consulting team to design and implement end-to-end analytics and ML solutions. Work across data collection, processing, EDA, model development and production, translate technical findings for business stakeholders, collaborate with consultants and engineers, and optimize models for performance and scalability under senior guidance.

As a Project Manager, you'll develop strategies, solve complex problems with data and AI, manage projects, and engage with clients to drive strategic initiatives.

Design, build and own end-to-end data solutions and infrastructure. Implement scalable pipelines using cloud and big-data technologies, optimize performance, create REST APIs and CI/CD, coach teammates, and communicate technical solutions to business stakeholders.

Develop and maintain scalable backend systems, improve system performance, collaborate with frontend developers, and support database design and optimization. Responsibilities include writing maintainable code, participating in code reviews, troubleshooting applications, documenting systems, and tracking emerging technologies. The role requires backend development experience, RESTful API and microservices knowledge, SQL and database understanding, with cloud, Docker, or Kubernetes experience preferred.

Manage and improve distributed IT infrastructure across the Americas, including Jamf-managed macOS and Windows device fleets, identity platforms, GCP and Azure environments, security controls, SaaS tools, and vendor licensing. Automate recurring operations with scripting and APIs, optimize cloud costs, support incidents, maintain documentation, and lead IT initiatives from proposal through implementation while communicating risks and progress to technical and non-technical stakeholders.

Lead AI and machine learning engineering teams delivering production-grade classical ML, LLM, and agentic systems. Own solution architecture, context and harness engineering, fine-tuning pipelines, cloud platform strategy, and technical standards. Partner with clients and senior leadership while supporting pre-sales through proposals, demos, proofs of concept, and solution scoping. Manage and mentor engineers, oversee model development, and guide scalable, reliable, cost-efficient AI deployments.

Own end-to-end data science and AI solutions, from business problem framing through production deployment and monitoring. Build statistical and machine learning models for forecasting, classification, clustering, and causal analysis; conduct LLM fine-tuning and evaluation experiments; develop data pipelines, dashboards, and evaluation suites; and advise clients on AI architecture decisions. Present findings to nontechnical stakeholders and mentor junior data scientists.