TRG Research and Development
Security • Finance • Government
TRG Research and Development is a company specializing in data fusion technology, providing an all-in-one platform called Intellectus. This platform offers real-time intelligence and insights for government, law enforcement agencies, public safety organizations, banks, and financial institutions. With capabilities like lawful interception, financial investigations, forensic data integration, and tactical systems integration, TRG's solutions are designed to enhance investigations, fraud detection, and decision-making processes. Their products are trusted by numerous analysts worldwide to safeguard organizations and improve operational efficiency.
MLOps Engineer
Yesterday
TRG Research and Development
Security • Finance • Government
TRG Research and Development is a company specializing in data fusion technology, providing an all-in-one platform called Intellectus. This platform offers real-time intelligence and insights for government, law enforcement agencies, public safety organizations, banks, and financial institutions. With capabilities like lawful interception, financial investigations, forensic data integration, and tactical systems integration, TRG's solutions are designed to enhance investigations, fraud detection, and decision-making processes. Their products are trusted by numerous analysts worldwide to safeguard organizations and improve operational efficiency.
📋 Description
• Develop and maintain scalable ML/LLM deployment infrastructure (cloud/on-prem). • Build CI/CD pipelines for model training, testing, and deployment. • Implement model serving solutions • Help cross functional teams to design and deliver Multi-Agent systems • Set up monitoring for model performance, drift, logging, and alerting. • Manage cloud resources, GPU workloads, autoscaling, and infrastructure-as-code. • Ensure system reliability, security, and cost efficiency. • Collaborate with product teams to streamline experimentation and production workflows.
🎯 Requirements
• Experience in MLOps, ML infrastructure, or ML/DevOps engineering. • Familiarity with MLOps frameworks and tools • Strong skills with cloud platforms (e.g. AWS) and Kubernetes. • Proficiency with CI/CD, IaC (Terraform/Helm), and Python. • Familiarity with model deployment and monitoring frameworks. • Understanding of ML lifecycle and production ML best practices. • Familiarity with Data Governance/Version Control tools • Nice-to-Have (AI Engineering) • Experience with ML Security and Governance • Experience with open-source LLMs (LLaMA, Mistral, etc.). • Experience with libraries/tools for building Multi-Agent Systems • Knowledge of vector databases and RAG pipelines. • Familiarity with LLM optimization (quantization, vLLM, TGI) and fine-tuning methods. • Exposure to prompt engineering or model evaluation tools.
🏖️ Benefits
• Working from home • Flexible hours because we promote work-life balance. • Yearly performance bonus to reward good performance and hard work. • Paid medical insurance because we like to take care of you. • Daily lunch allowance so you can save lots of money, time, and effort by enjoying your free lunch at the office or home every day. • Sport/Gym(Exercise) allowance to focus more on yourself, your well-being, and your health. • Udemy unlimited subscription to promote your learning and development and grow your career. • Onboarding plan and training so that you have a smooth induction and feel confident and ready to take over your new role. • Equipment support so you have all the tools to do effectively and efficiently your work. • Gifts and rewards for celebrating birthdays, anniversaries, and personal milestones. • Happy hours, coffee time, online team building, company events, and much more to promote team bonding and of course to have fun! • Fresh fruit, snacks, coffee, and tea at the office because work makes us hungry!
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