Data Engineering and AI Solutions Architect

5 dni temu

Opolska Kraków, Polska HCLTech Pełny etat

We are HCLTech, a leading global technology company with 219,000+ people across 54 countries. Our mission is to advance the technological world through innovation and creativity.

The driving force behind our success is our diverse, creative, and passionate team members who strive for excellence on a regular basis. As we work hard to bring out the best in them, we help them find their spark and become the best version of themselves.

Our AI Delivery squad helps transform data into insights using machine learning, natural language processing, large language models, mathematical optimization, and more. We're looking for an experienced ML Ops Engineer:

Your Profile
  • You have a proven track record of hands-on experience in AI/ML/Advanced Analytics, with a 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 successfully packaged and deployed AI/ML services to production.
  • You know how to monitor and maintain AI/ML services post-deployment.
  • You're 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 tools (pytest, coverage, tox, mypy, black, ruff, uv, pip-compile, ...).
  • You can write both object-oriented and functional code and understand concepts such as coupling, coherence, inheritance, composition.
  • You make sure the code 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 production-grade code.
  • You know how to package a Python application or library for distribution.
  • You're 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 run `rm -rf` on production data.
  • You possess foundational Data Engineering skills, allowing you to interact with the Data Engineering team, 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're able to identify ML Ops maturity gaps and provide inputs for modernization efforts.
Non-Technical Skills
  • 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 working in large, complex enterprises and have stoically accepted it as your fate.
  • You're not allergic to legacy technology, yet always on the lookout for modernization opportunities.
  • You stay up-to-date with new tools, technologies, and approaches within the domain.
  • You're a well-integrated team player.
  • You're able to estimate your short-term 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.
  • You must love mentoring and sharing knowledge.
  • You must love dad jokes.
Formal Qualifications
  • 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 using DevOps/CI/CD practices.
  • 2+ years of experience in deploying AI solutions to production.

The estimated salary for this position is $120,000-$180,000 per year, based on location and industry standards. Benefits include life insurance, private medical care, MultiSport Card, subsidy for glasses, subsidy to language courses, Christmas and holiday bonuses, and clear career path in a growing multinational organization.

If you'd like to find out more about us, visit our website: https://www.hcltech.com

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