LLMOps Engineer

LLMOps Engineer
Lisboa
Lisboa, Lisboa, Portugal

A Company you will be happy to grow with!

At Inno
Tech, it´s all about connecting people with business through technology.

We care about you, your happiness, and your well-being. We seek people who want to learn and further improve their skills with us – growth is part of our DNA, and that’s why we’re proud to be certified as a Great Place to Work and to be among the Top 50 Best Workplaces in Portugal! For us, sustainability is not just a word. Integrity and social responsibility lead our behavior.

We dare to be different, ambitious, dream big, and deliver value like no other! You will have the opportunity to work with top-level partners in the banking area, insurance, retail, telecommunications, financial services, and so much more!

We are 180+ Inno
Techers, and we want your talent as a/an LLMOps Engineer.

Your Mission Will Be:

• Operationalize large language models (LLMs) from installation and
  - tuning to deployment and monitoring;
• Ensure scalable, secure, and efficient deployment of LLMs using enterprise data;
• Collaborate at the intersection of MLOps, software engineering, and cloud infrastructure;
• Maintain governance, observability, and performance standards for production LLMs;
• Develop and optimize pipelines for training, deployment, and model management.

You Will Need:

• Minimum of 2 years' experience in similar roles;
• Strong programming skills in Python, Bash, and Go;
• Hands-on experience with LLM frameworks like Hugging Face Transformers, PEFT, Deep
  Speed, Megatron-LM, v
  LLM, or Tensor
  RT-LLM;
• Expertise in containerization, orchestration, and cloud infrastructure using Docker, Kubernetes, Helm, Terraform, or Ansible;
• Knowledge of distributed training frameworks such as Py
  Torch, Ray, Horovod, or Accelerate;
• Fluency in Portuguese and residence in Portugal;
• CPLP nationality or an EU work permit is required to facilitate employment.

Would Be Awesome If You Have:

• BSc or MSc in Computer Science/Engineering, Information Technology, or related fields;
• Familiarity with pipelines, CI/CD, and orchestration tools (Kubeflow, Argo Workflows, Airflow, Prefect, Git
  Hub Actions);
• Experience with monitoring, observability, and experiment tracking tools;
• Exposure to cloud platforms for LLM workloads (AWS Sage
  Maker/Bedrock, GCP Vertex AI/GKE, Azure ML, OCI);
• Knowledge of Data
  Ops frameworks and feature stores (Feast, Delta Lake, Databricks).

With Us You Can Be a:

• Tech
  Thinker – people who want to
  - imagine technology with us;
• Tech
  Solver – strategic, resilient, and a little bit of a puzzle lover;
• Inno
  Minder – inhale innovation, exhale digital transformation;
• Inno
  Techer – no words needed. Just happiness, talent, and all the above!

Are you convinced? Come see it for yourself.

Join our Top-Notch Team!