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Machine Learning

MLOps Engineer

We're seeking an exceptional MLOps Engineer to build and scale production AI systems for our portfolio of Series A–C companies. You'll work on cutting-edge AI infrastructure, ship features that directly impact product velocity, and help define what great AI engineering looks like in a growth-stage context.

📧 Email your resume tohr@thehirehare.com

What you'll do.

  • 🚀 Build CI/CD pipelines for ML model training, evaluation, and deployment
  • 📊 Implement experiment tracking, model versioning, and artifact management (MLflow, W&B, Neptune)
  • 🏗️ Design feature stores, data pipelines, and training infrastructure at scale
  • ⚙️ Architect model serving infrastructure with auto-scaling, A/B testing, shadow deployment, and canary releases
  • 📈 Monitor model performance, data drift, concept drift, and system reliability in production
  • 💰 Optimize training costs, inference latency, GPU utilization, and infrastructure efficiency

What we're looking for.

Requirements

  • 3+ years of production experience building and shipping AI/ML systems (or 5+ for senior roles)
  • Strong programming skills in Python and experience with modern AI frameworks (PyTorch, TensorFlow, JAX)
  • Deep understanding of LLMs, transformers, and the latest AI research
  • Production experience with cloud infrastructure (AWS, GCP, Azure) and containerization (Docker, Kubernetes)
  • Strong systems thinking — you understand trade-offs between accuracy, latency, cost, and reliability
  • Growth-stage experience preferred — you thrive in fast-moving, ambiguous environments

Nice to have

  • Open-source contributions or published research in AI/ML
  • Experience working at an AI-first company or research lab
  • Familiarity with the latest AI tools, frameworks, and models
  • Strong writing and documentation skills
  • Experience mentoring or leading junior team members

🛠️ Tech stack.

Python, Bash, Terraform
MLflow, Weights & Biases, Neptune, Comet
Kubeflow, Airflow, Prefect, Dagster
Docker, Kubernetes, Helm
AWS SageMaker, GCP Vertex AI, Azure ML
Model serving: TorchServe, TF Serving, Triton, BentoML
Monitoring: Prometheus, Grafana, DataDog

Interested in this role?

📧 Send your resume tohr@thehirehare.com