9 Aiml Deployment Jobs

As a DevOps Engineer at The Modern Data Company, you will be responsible for designing, implementing, and managing CI/CD pipelines for automated deployments. Your role will involve maintaining and optimizing cloud infrastructure for scalability and performance, ensuring system security, monitoring, and incident response using industry best practices. You will also automate infrastructure provisioning using tools such as Terraform, Ansible, or similar technologies. Key Responsibilities: - Collaborate with development teams to streamline release processes - Improve system reliability and troubleshoot infrastructure and deployment issues efficiently - Implement containerization and orchestratio...

As an experienced Operations Service Delivery - Project Manager in the AI acceleration industry with a focus on Linux tools and cloud infrastructure, your role involves the following key responsibilities: - Lead the planning, execution, and delivery of Gen AI cloud infrastructure projects, ensuring alignment with strategic objectives and client requirements. - Employ agile methodologies to effectively manage project timelines, resources, and deliverables. - Provide expert guidance on the integration and deployment of Gen AI solutions within cloud environments, utilizing platforms such as Velocis, Overwatch, and Aegis. - Oversee the design and implementation of scalable, secure, and efficient...

As an AI Engineer with our Internal Tooling and Automation team, you will be at the forefront of designing and building tools that enhance operational efficiency, streamline business processes, and elevate customer support experiences. Your role will involve collaborating with various stakeholders to identify automation opportunities, integrating AI/ML models into systems, and continuously improving existing workflows. If you are passionate about leveraging AI to drive real impact and enjoy working in a dynamic environment, this role is perfect for you. Key Responsibilities: - Design, develop, and maintain internal software tools with automation features, utilizing AI/ML models to enhance to...

As a Machine Learning Engineer with 9-12 years of experience, you will play a key role in designing and deploying agentic AI architectures involving LLMs, Agentic AI frameworks, and MCP-based architectures. Your responsibilities will include: - Agentic AI & LLM Development: - Design, implement, and optimize agentic workflows using LangChain, LangGraph, n8n, and related orchestration tools. - Develop RAG solutions by leveraging vector databases, relational databases, and MongoDB. - Implement web crawling and external MCP services like Tavily to enhance agent capabilities. - Knowledge Base Engineering: - Build knowledge repositories from text, audio, and video sources using embeddings, transcr...

As an experienced Operations Service Delivery - Project Manager in the AI acceleration industry with a focus on Linux tools and cloud infrastructure, your role involves the following key responsibilities: - Lead the planning, execution, and delivery of Gen AI cloud infrastructure projects, ensuring alignment with strategic objectives and client requirements. - Employ agile methodologies to effectively manage project timelines, resources, and deliverables. - Provide expert guidance on the integration and deployment of Gen AI solutions within cloud environments, utilizing platforms such as Velocis, Overwatch, and Aegis. - Oversee the design and implementation of scalable, secure, and efficient...

As an MLOps Architect at ORBCOMM, you will play a crucial role in designing and implementing the technology architecture that facilitates the deployment, scaling, and management of Generative AI and machine learning models. Your responsibilities will include: - Architecting end-to-end infrastructure and reference architectures for deploying GenAI and ML models into production environments. - Defining best practices for packaging, APIs, containerization, and Infrastructure-as-Code (IaC) patterns to enable modular and reusable deployment frameworks. - Designing and building pipelines for model training, validation, deployment, rollback, and monitoring. - Supporting both batch and real-time inf...

As a Co-Founder CTO at CASS AIOT, you will play a crucial role in leading engineering efforts and overseeing R&D and product development in the areas of AI, Robotics, Industrial Automation, and IoT. Your responsibilities will include architecting scalable systems, guiding end-to-end architecture, and building and growing the tech team. Collaboration with the Founder/CEO will be essential in raising funds, crafting IP strategy, and transforming the company's vision into globally competitive products. You will also ensure that the systems developed are patent-worthy, production-grade, and compliant with industrial protocols. Key Responsibilities: - Lead engineering efforts and oversee R&D and ...

You will be responsible for designing, implementing, and managing cloud infrastructure using a broad range of AWS services such as EC2, Lambda, API Gateway, EKS, Auto Scaling, S3, RDS, CloudFront, VPC, CloudWatch, and more. Additionally, you will lead the deployment and lifecycle management of AI/ML models using AWS Bedrock, SageMaker, and other relevant tools. You are expected to apply DevOps best practices including CI/CD pipelines (e.g., Jenkins) and infrastructure as code. Monitoring infrastructure and optimizing performance, availability, and cost efficiency using tools like ECS and CloudWatch will also be part of your responsibilities. Implementing robust logging and monitoring solutio...

You are a highly experienced Service Delivery Lead with over 15+ years of expertise in Project Management related to Linux tools and cloud infrastructure management within the AI acceleration industry. Your role involves delivering complex technical projects, particularly in the deployment and management of Gen AI solutions, ensuring seamless integration and optimal performance of cloud-based infrastructures. You will lead the planning, execution, and delivery of Gen AI cloud infrastructure projects, ensuring alignment with strategic objectives and client requirements. Employ agile methodologies to manage project timelines, resources, and deliverables effectively. Provide expert guidance on ...