Artificial Intelligence Deployment Specialist

4 dni temu


Pana Tadeusza Kraków, Polska InPost Pełny etat
Machine Learning Engineer Position at InPost

We are looking for an experienced Artificial Intelligence Deployment Specialist to join our team at InPost and optimize the deployment and management of machine learning models in e-commerce and logistics.

About InPost:

InPost is a leading provider of innovative parcel delivery solutions, aiming to provide fast, convenient, and reliable services to its customers. As we continue to grow and expand our operations, we need talented professionals like you to help us drive success.

Job Summary:

The successful candidate will be responsible for developing and implementing AI model deployment strategies, overseeing the lifecycle of ML models, and establishing coding and deployment standards for data science projects. This is an exciting opportunity to work with cutting-edge technologies and contribute to the growth and development of InPost.

Responsibilities:

  • Develop and implement AI model deployment strategies, including infrastructure management and automation.
  • Oversee the lifecycle of ML models, from experimentation and training to deployment and monitoring.
  • Establish coding and deployment standards for data science projects.

Requirements:

To be successful in this role, you will need:

  • At least 3 years of experience as AI Engineer/MLOps/Data Scientist/Python Developer.
  • Proficiency in Python 3, ML, and data processing libraries.
  • Knowledge of ML models life cycle and management (mlflow).
  • Experience with CI/CD pipelines, data pipelines framework (Kedro), CLI tools (bash/zsh), and big data processing (Spark).
  • Proficiency in English and Polish (spoken and written).

Preferred skills:

  • Databricks, Docker, Kubernetes, Schedulers (Airflow/Prefect).
  • LLMs and RAGs, Fastapi/Django/Flask.

What We Offer:

We offer a competitive salary range of $120,000 - $180,000 per year, depending on experience and location. Our benefits package includes opportunities for professional growth and development, flexible working arrangements, and a collaborative work environment. If you're passionate about AI and want to make a difference in the logistics industry, apply now



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