Senior Artificial Intelligence/Machine Learning Engineer (AI/ML)

Location: Remote in Poland

Company

hirify.global is a custom product engineering company supporting multinational organizations and scaling startups through a global team of more than 4,000 developers, consultants, analysts, and product owners.

What you will do

• Own the ML lifecycle from problem framing and metric definition through training, deployment, monitoring, and production operation.
• Build classical ML, time-series, NLP, LLM, and RAG solutions where appropriate.
• Design rigorous validation, metrics, and release-gating evaluations.
• Deploy models with Docker and CI/CD on cloud ML platforms while monitoring drift and costs.
• Use AI coding agents, validate their output, review code and experiments, and maintain context across the codebase, data schemas, and standards.
• Collaborate with stakeholders, explain model trade-offs, and mentor other engineers.

Requirements

• 5+ years of ML experience, including shipping models to production.
• Python with pandas, scikit-learn, and PyTorch or TensorFlow.
• Strong ML fundamentals, including validation, overfitting, feature selection, and imbalanced data.
• Strong SQL and Spark for large datasets.
• MLOps experience with Docker, CI/CD, model serving, and monitoring.
• Experience with SageMaker, Azure ML, or Vertex AI.
• Production experience shipping LLM or RAG features and writing their evaluations.
• Daily use of an AI coding assistant with its codebase, data-schema, and standards context kept current.
• Fluent English and the ability to explain model trade-offs to non-technical stakeholders.

Nice to have

• Anomaly detection, forecasting, recommender systems, or ranking.
• Fine-tuning with LoRA or PEFT.
• LangGraph or MCP.
• MLflow, Airflow, or Kubeflow.
• Terraform and Kubernetes.
• LLM cost-control techniques such as model routing, caching, and token budgets.
• AWS Certified Machine Learning Engineer – Associate or Claude Certified Developer certification.

Culture & Benefits

• Full remote working possibilities in Poland.
• Work in cross-functional teams on large-scale projects with global impact and opportunities for internal mobility.
• Internal meetups, conferences, workshops, Udemy access, language courses, and company-paid certifications.
• Company-paid premium medical coverage through Luxmed.
• MyBenefit cafeteria platform with selectable perks.
• Open-door collaboration and a One Team culture.

Hiring process

• Submit an application to hirify.global.