Engineer ML Ops

IT Teams is a Romanian company specialized in software outsourcing and remote staffing. We aim to assemble passionate experts to help companies and startups achieve success. We deliver the perfect combination of technical skills methodology and high speed delivery techniques to help startups and established companies extend their development teams.

Tasks

Our AI Delivery squad helps to transform data into insights using techniques such as machine learning natural language processing large language models mathematical optimization etc. It is looking for an experienced ML Ops Engineer:

Requirements

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

1. Keywords: AI/ ML application development testing serving monitoring troubleshooting.
2. You know how to ensure ML models are reproducible and interpretable.
3. You have already singlehandedly packaged and deployed AI/ML services to production.
4. You know how to monitor and maintain AI/ML services postdeployment.

• You have 5 years of work experience with Python and AI/ML standard libraries such as pandas scikitlearn xgboost

Nicetohaves:

• Data processing libraries and frameworks (pydantic pandera)
• Web frameworks (such as FastAPI Flask etc.)
• CLI frameworks (Typer Click etc.)
• General MLOps tools and frameworks (MLFlow Azure ML Studio etc.)
• Version control tools for ML datasets and models (DVC Azure ML Dataset etc.)
• Monitoring libraries and solutions (such as NannyML Evidently AI etc.)
• Distributed processing libraries and frameworks (such as Ray Dask PySpark etc.)
• Pipelinebuilding and orchestration libraries (such as Metaflow ZenML Kedro Airflow Dagster etc.)
• General Python development tool (pytest coverage tox mypy black ruff uv pipcompile etc.)
• You can write both objectoriented 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 endtoend stress/performance).
• You love and regularly use data validation and type hints.
• You know how to turn a messy jupyter notebook into a productiongrade piece of code.
• Although well 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):

1. 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:

1. You could handle using SQL to extract transform and load data (ETL/ELT).
2. 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.

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

Nontechnical:

• You have strong verbal and written communication skills as well as good customer relationship skills to present complex concepts and/or the results of a use case to different audiences (from end users up to division management).
• You have experience of working in large complex enterprises and have stoically accepted it as your fate.
• You are not allergic to legacy technology yet are always on the lookout for modernization opportunities.
• You stay uptodate with new tools technologies and approaches within the domain.
• You are a wellintegrated team player.
• You are able to estimate your shortterm effort with reasonable accuracy and get the work done in the time frame you commit to.
• You successfully swim in the waters of Agile project management techniques (scrum boards standups demos reviews).
• You stand to promote ML Ops and advocate for its usage and necessity across the organization.
• Must love mentoring and sharing knowledge.
• Must love dad jokes.

Your formal qualifications are the following:

• University degree in software engineering OR Data Science/Machine Learning/Data Engineering OR a related quantitative field combined with strong IT skills.
• 5 years of experience with Python
• 2 years of experience of using DevOps/CI/CD practices.
• 2 years of experience in deploying AI solutions to production.

Wondering what it is like to work at a fast growing company while the team is still small Want to make an impact in building a product that is changing an entire industry Thats the kind ofopportunity were offering.

Project Duration: long term

Location: Krakow Poland

Effort: Hybrid (12 days/week from the end clients office) 8 hours/day