👉Senior MLOps Engineer (AI/ML Platform)

🟣 You will be:

• designing, building, and managing AI/ML platform infrastructure on Google Cloud Platform (GCP), leveraging Vertex AI services,

• building and operating ML pipelines, covering model training, evaluation, deployment, and lifecycle management,

• provisioning and automating cloud infrastructure using Terraform and integrating it into CI/CD pipelines,

• developing and maintaining CI/CD workflows with GitHub Actions and automating ML training, deployment, and retraining processes,

• developing production-grade Python solutions and designing secure, scalable REST APIs,

• implementing monitoring and observability for ML models, including performance tracking, data drift detection, and system health,

• collaborating with hybrid cloud and HPC environments to support GPU-based training and large-scale ML workloads.
  

🟣 Your profile:

• proven experience in MLOps / ML Platform Engineering in production environments,

• hands-on expertise with: GCP (Vertex AI) and cloud-native ML workflows and Terraform (GCP provider) for infrastructure as code,

• strong experience with: Python (3.10+), ML frameworks (TensorFlow, PyTorch, scikit-learn) and MLOps tools (MLflow, KFP SDK),

• experience building secure, production-grade APIs using FastAPI or Flask,

• solid understanding of: CI/CD pipelines (GitHub Actions), identity & access management (OAuth 2.0, WIF),

• experience with Slurm and HPC environments, including GPU scheduling,

• strong knowledge of: ML lifecycle best practices and distributed training and model deployment patterns.

🟣 Recruitment Process:

CV review – HR call – Interview – Client Interview – Decision

🎁 Benefits 🎁

✍ Development:

• development budgets of up to 6,800 PLN,

• we fund certifications e.g.: AWS, Azure,

• access to Udemy, O'Reilly (formerly Safari Books Online) and more,

• events and technology conferences,

• technology Guilds,

• internal training,

• Xebia Upskill.

🩺 We take care of your health:

• private medical healthcare,

• multiSport card - we subsidise a MultiSport card,

• mental Health Support.

🤸‍♂️ We are flexible:

• B2B or employment contract,

• contract for an indefinite period.