Mlops Engineer (AI Engineering)

TL;DR

MLOps Engineer (AI Engineering): Building and maintaining scalable infrastructure for deploying, monitoring, and scaling ML models, including open-source LLMs with an accent on reliable model delivery and collaboration with cross-functional teams. Focus on streamlining experimentation and production workflows, ensuring system reliability, security, and cost efficiency.

Location: Working from home.

Company

TRG deals with Data Fusion and AI products for civilian protection.

What you will 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 and 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.

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 and Data Governance/Version Control tools.

Nice to have

• 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.

Culture & Benefits

• Working from home and flexible hours.
• Yearly performance bonus and paid medical insurance.
• Daily lunch allowance and Sport/Gym(Exercise) allowance.
• Udemy unlimited subscription to promote your learning and development and grow your career.
• Equipment support and Gifts and rewards for celebrating birthdays, anniversaries, and personal milestones.
• Happy hours, coffee time, online team building, company events, and Fresh fruit, snacks, coffee, and tea at the office.