MLOps Engineer

At TRG we work in a global environment where every diverse personality and culture is included. We look for talented people worldwide who have passion for what they do and work together, shoulder to shoulder, to empower our customers in their fight against crime and terror.

Though technology is important, people always come first!

Our Core Values are our DNA, so if your DNA matches ours you are at the right place!

• Let’s do it! We follow a can‑do approach, taking responsibility for milestones
• Passion is our fuel! We learn. We grow. We innovate
• We make an impact! We bring innovation and always ask why
• We work together! One for all, and all for one

We are seeking an MLOps Engineer to build and maintain infrastructure for deploying, monitoring, and scaling ML models – including open‑source LLMs. You will ensure reliable model delivery from experimentation to production and work closely with cross‑functional product teams.

• 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 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

• Experience in MLOps, ML infrastructure or ML/Dev Ops 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 the ML lifecycle and production ML best practices
• Familiarity with Data Governance/Version Control tools

• 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

• Working from home – hit your goals from the comfort of your home because we value performance, not location
• 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 money, time and effort by enjoying a free lunch at the office or home each day
• Sport/gym allowance to focus more on yourself, your well‑being and health
• Udemy unlimited subscription to promote learning and development and grow your career
• Onboarding plan and training so you can have a smooth induction and feel confident and ready for the new role
• Equipment support so you have all the tools to do effectively and efficiently
• Gifts and rewards for celebrating birthdays, anniversaries and personal milestones
• Happy hours, coffee time, online team building, company events and more to promote team bonding and have fun
• Fresh fruit, snacks, coffee and tea at the office because work makes us hungry

TRG deals with Data Fusion and AI products for civilian protection. Our mission is to empower our customers to fight crime and terror through state‑of‑the‑art technologies that provide accurate and precise intelligence. Our product, Intellectus, is the only cloud‑based all‑in‑one fusion platform with integrated web intelligence, discovery capabilities, advertisement intelligence, virtual  and third‑party database integration that can be deployed in less than 24 hours.

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Mid‑Senior level

Full‑time

Engineering and Information Technology

Internet Publishing

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