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.

About you:

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.

What You'll Do:

• 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.

What Skills and Experience You'll Bring:

• 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.

Your perks:

• Working from home Hit your goals from the comfort of your home because we value the performance, not the place.
• 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

About us

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 ID management, and third-party database integration that can be deployed in less than 24 hours.

Want to learn more? Visit our website at and our LinkedIn page.

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