Posted:1 day ago|
Platform:
On-site
Full Time
At Jacav, we help businesses streamline and manage their DevOps and Microservices operations with ease. Our product, Cloud Dongle, simplifies deployment, monitoring, and management across cloud environments. Designed to support modern software development teams, it automates workflows, improves visibility, and enables faster, more reliable releases. Jacav offers tools for CI/CD, infrastructure-as-code, and real-time monitoring—all in one place. Join the growing number of teams using Jacav to take control of their DevOps and Microservices lifecycle.
We are seeking a Senior AI/ML Engineer to join our innovative team and help drive the next generation of intelligent DevOps and Microservices solutions. This role offers an exciting opportunity to work at the intersection of artificial intelligence and cloud infrastructure, developing cutting-edge AI capabilities that enhance our Cloud Dongle platform.
5-10 years of professional experience in AI/ML engineering and software development
• AI/ML Model Development: Design, develop, and deploy machine learning models to optimize DevOps workflows and enhance microservices management • Generative AI Implementation: Build and integrate generative AI solutions to automate complex operational tasks and improve user experiences • Agentic AI Systems: Develop autonomous AI agents that can make intelligent decisions within DevOps pipelines and infrastructure management • Cloud Infrastructure: Architect and implement scalable AI/ML solutions on AWS cloud platforms • API Development: Create robust, high-performance APIs using FastAPI to serve AI models and integrate with existing systems • Model Training & Optimization: Utilize TensorFlow and other frameworks to train, fine-tune, and optimize machine learning models • LLM Integration: Work with leading language models including OpenAI and Claude to enhance platform capabilities • Cross-functional Collaboration: Partner with DevOps, backend, and product teams to integrate AI solutions seamlessly into the Cloud Dongle ecosystem
• Programming Languages: Advanced proficiency in Python • Machine Learning Frameworks: Strong experience with TensorFlow and modern ML libraries • Generative AI: Hands-on experience with generative AI technologies and applications • Cloud Platforms: Extensive experience with AWS services and cloud-native AI/ML solutions • Agentic AI: Experience developing autonomous AI systems and intelligent agents • LLM Integration: Practical experience with OpenAI, Claude, and other large language models • API Development: Proficiency in FastAPI and RESTful API design • DevOps Integration: Understanding of CI/CD pipelines, containerization, and infrastructure automation
• Experience with MLOps practices and model deployment at scale • Knowledge of microservices architecture and distributed systems • Familiarity with Kubernetes and container orchestration • Experience with real-time data processing and streaming • Background in infrastructure monitoring and observability • Understanding of cloud security best practices for AI/ML workloads
• Opportunity to work on cutting-edge AI/ML technologies in the DevOps space • Collaborative environment with cross-functional teams • Chance to impact the future of cloud infrastructure management • Competitive compensation and benefits package • Professional development and learning opportunities
Jacav Technologies
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