Opis stanowiska pracy
Lead MLOPs Engineer
Kraków
NR REF.: 1190773
Your new company:
You will join a global IT consulting company that specialises in transformational management and technology. After joining the organisation, you will be supporting their clients from the banking industry, in particular in the cybersecurity area. Your expertise will help the client to build digital solutions that will allow customers to bank quickly, simply and securely.In particular, you will become part of a team that provides business control over financial operations, in particular trading and communications. The team is currently investing in Machine Learning tools to reduce false positives and improve their detection.
Your new role:
As an MLOps Engineer, you will collaborate closely with a team of Data Scientists to translate complex ML models into production solutions. You will be instrumental in building efficient and scalable Machine Learning pipelines on Google Cloud Platform while ensuring integration with our on-premises environments.
Your responsibilities will include:
- Establishing and maintaining best practices for ML Ops. Including version control, CI/CD pipelines and the Vertex Al Model Registry and End Points,
- Implementing MLOps tools to streamline model development, training, tuning, deployment, monitoring and explain,
- Deploying and Managing ML models on GCP39s Vertex Al platform ensuring efficient and scalable execution,
- Identifying and addressing performance bottlenecks in ML models and pipelines,
- Troubleshooting and resolving ML issues ensuring optimal model performance and costs. Working closely with Compliance Analytics data scientists to prepare and preprocess data for model training and evaluation,
- Assisting in feature engineering and selection to ensure model performance,
- Developing techniques to visualise and explain model behaviour, ensuring model transparency and accountability in-line with PRA S51/23 guidelines,
- Collaborating with infrastructure and DevOps teams to establish efficient deployment and scaling strategies,
- Building and maintaining robust pipelines for model training, tuning and deployment, leveraging components of Vertex Al and GCP tooling like Cloud Composer utilising Python, Java and Big Query,
- Implementing automated monitoring and alerting to track model performance and identify potential issues,
- Developing and maintaining data quality checks and validation, including reconciliations in-line with Data Quality and Retention Controls,
- Implementing robust security measures to protect sensitive data and models.
What you39ll need to succeed:
- Strong proficiency in ML Ops principles and tools,
- Proficiency in data engineering and pipeline development,
- Experience with GCP including Big Query, Cloud Composer and Vertex Al,
- Strong problem-solving and analytical skills,
- Strong proficiency in Python,
- Experience with Java would be beneficial.
What you39ll get in return:
What you need to do now:
If you39re interested in this role, click 39apply now39 to forward an up-to-date copy of your CV, or call us now.
Hays Poland sp. z o.o. is an employment agency registered in a registry kept by Marshal of the Mazowieckie Voivodeship under the number 361.
Prezentacja firmy
HAYS Poland jest firmą doradztwa personalnego, należącą do międzynarodow...
HAYS Poland jest firmą doradztwa personalnego, należącą do międzynarodowej grupy HAYS plc, notowanej na giełdzie w Londynie i największej na świecie firmy zajmującej się rekrutacją specjalistyczną.
Hays działa na rynku rekrutacyjnym od ponad 50 lat, posiada ponad 250 biur, w których łącznie pracuje ponad 10 tysięcy ekspertów w 20 specjalizacjach.
W 2003 roku otworzyliśmy pierwsze biuro w Polsce. Od tego czasu umocniliśmy naszą pozycję na polskim rynku, stając się niekwestionowanym liderem w rekrutacji specjalistycznej. Obecnie w Hays Poland zatrudnionych jest ponad 200 osób w biurach w Warszawie, Katowicach, Wrocławiu, Krakowie, Trójmieście oraz Poznaniu.
Cechą wyróżniającą HAYS jest unikalny system rekrutacji wysokiej klasy specjalistów w oparciu o podział na dywizje:
HAYS Accountancy & Finance
HAYS Construction & Property
HAYS IT & Telecom
HAYS Manufacturing
HAYS Pharma & Healthcare
HAYS Sales & Marketing
HAYS Executive
Rozwiń
Dodatkowe informacje
- Ostatnia aktualizacja:
- 24/01/2025
- Wymiar etatu:
- Pełny etat
- Rodzaj umowy:
- Na czas nieokreślony
- Liczba wakatów:
- 1
- Min. doświadczenie:
- 1 rok
- Min. wykształcenie:
- Policealne
- Branża / kategoria:
- Praca IT - Project Management, Praca IT - Programowanie / Analizy, Praca IT - ERP