Machine Learning Engineer

K&K Talents is an international recruiting agency that has been providing technical resources in the European region since 1993. This position is with one of our clients in Poland who is actively hiring candidates to expand their teams.

Role: ML Ops engineer

Location: Krakow, Poland (Hybrid)

Employment Type: C2H/Permanent

Job Description

• You have a proven track record of hands-on experience in the area of AI/ ML/ Advanced Analytics, with special focus on deploying and maintaining AI/ ML models and services in production.

• Keywords: AI/ ML application development, testing, serving, monitoring, troubleshooting.

• You know how to ensure ML models are reproducible and interpretable.

• You have already single-handedly packaged and deployed AI/ML services to production.

• You know how to monitor and maintain AI/ML services post-deployment.

• You are proficient in Python

• You have 5+ years of work experience with Python, and AI/ML standard libraries such as pandas, scikit-learn, xgboost

• Nice-to-haves:

• Data processing libraries and frameworks (pydantic, pandera)

• Web frameworks (such as FastAPI, Flask, ...)

• CLI frameworks (Typer, Click, ...)

• General MLOps tools and frameworks (MLFlow, Azure ML Studio, ...)

• Version control tools for ML datasets and models (DVC, Azure ML Dataset, ...)

• Monitoring libraries and solutions (such as NannyML, Evidently AI, ...)

• Distributed processing libraries and frameworks (such as Ray, Dask, PySpark, ...)

• Pipeline-building and orchestration libraries (such as Metaflow, ZenML, Kedro, Airflow, Dagster, ...)

• General Python development tool (pytest, coverage, tox, mypy, black, ruff, uv, pip-compile, ...)

• You can write both object-oriented and functional code, and understand concepts such as (de)coupling, coherence, inheritance, composition.

• You make sure the code that you and your colleagues write is thoroughly tested (unit, integration, end-to-end, stress/performance).

• You love and regularly use data validation and type hints.

• You know how to turn a messy jupyter notebook into a production-grade piece of code.

• Although we'll apply all possible preventive measure to prevent this from ever happening.

• You know how to package a python application or library for distribution

• You are a proficient GIT user, able to collaborate with multiple developers on multiple repositories, while following best practices related to branching, merging and code reviews.

• You have a good understanding of Machine Learning algorithms and their applications in NLP.

• You have work experience with at least one Cloud Provider, preferably Azure Cloud.

• You have experience with Unix/Linux command line tools and scripting (shell, bash):

• VIP club membership if you have at least once ran `rm -rf` on production data.

• You possess the foundational Data Engineering skills, allowing you to interact with the Data Engineering team, and analyze and troubleshoot data pipelines if needed:

• You could handle using SQL to extract, transform and load data (ETL/ELT).

• Experience with the Hadoop ecosystem (Spark, Kafka, Hive, Impala…) is a plus.

• Experience with the Cloudera distribution is an additional plus

• You understand the modern ML Ops framework and complexities it adds to DevOps.

• You are able to identify the ML Ops maturity gaps and provide inputs for modernization efforts.

Note: Applicants for employment in Poland should possess work authorization which does not require sponsorship by the employer for a visa.