Design and deliver secure, scalable enterprise-grade AI/ML and data science platforms within complex cloud ecosystems. Lead cross-functional teams to translate business requirements into pragmatic architectural solutions while optimizing for cost and observability.
Satalia
15 Remote Job Openings at Satalia
The role involves retaining and driving revenue within existing clients, ensuring delivery excellence and measurable value. You will work closely with clients to develop partnership relationships and advocate for their needs within the organization.
The role focuses on retaining and driving revenue within existing client accounts by deploying AI solutions. Responsibilities include managing the full sales cycle, executing account plans, and collaborating with engineering teams to build complex customer programs.
The Cloud Developer will design and maintain scalable cloud infrastructure for Python and Typescript-based APIs using serverless technologies. They will be responsible for automating deployments with Terraform and optimizing AI workloads within a collaborative product team.
You will be responsible for creating and maintaining cloud infrastructure for web APIs using Python and Typescript. This involves automating deployments with Terraform and optimizing AI workloads within a product team.
The Cloud Developer will design and maintain scalable cloud infrastructure for web APIs using serverless technologies and automated deployment pipelines. They will work within a product team to optimize AI workloads and ensure system observability and security.
The Cloud Developer will design and maintain scalable cloud infrastructure for web APIs using serverless technologies and automated deployment pipelines. You will work within a product team to optimize AI workloads and implement infrastructure-as-code using Terraform.
You will explore and prepare datasets while training and evaluating machine learning models under the guidance of senior scientists. Additionally, you will write and maintain production-ready Python code and contribute to the development of LLM-powered systems.
You will build, iterate, and deploy machine learning models while maintaining production pipelines and contributing to LLM-powered systems. You will also analyze large multimodal datasets to extract insights and write clean, production-quality Python code.
You will explore and prepare datasets while training and evaluating machine learning models under the guidance of senior scientists. Additionally, you will write and maintain production-ready Python code and contribute to the development of LLM-powered systems.
You will build, iterate, and deploy machine learning models while maintaining production pipelines and contributing to LLM-powered systems. Additionally, you will analyze large multimodal datasets to extract insights and write clean, production-quality Python code.
You will lead the technical direction for AI projects, including scoping problems, choosing modeling approaches, and building training infrastructure. You are responsible for shipping production-ready AI systems, including agentic pipelines and inference services, while mentoring junior scientists.
You will lead the technical direction for AI projects, including scoping problems, building training infrastructure, and shipping production-grade models. You are responsible for the end-to-end lifecycle of AI systems, from data curation and model selection to monitoring and debugging in production.
Design and deliver production-grade multi-agent systems and AI services for enterprise-scale clients. Implement robust RAG pipelines, agent memory management, and AgenticOps practices to ensure reliable and ethical AI operations.
The AI Architect will design secure, scalable cloud solutions to deploy advanced ML and data science into production, partnering with technical and business stakeholders. This involves combining hands-on technical leadership with architectural ownership to ensure solutions are future-proof, observable, cost-efficient, and deliver maximum value.