Rodzaj pracy: Pełny etat
Rodzaj umowy: Na czas nieokreślony
Ilość wakatów: 1
Minimalne doświadczenie: Od 5 do 10 lat
Wykształcenie: Wyższe licencjackie
Branża: Praca IT - Project Management / Consulting, Praca IT - Programowanie / Software Development
Project information:
- Industry: Data Center
- Location: Warsaw, pl. Europejski
- Business trips: occasionally
- Remote work: 20%
- Project language: English
- Contract length: indefinite
- Start date: depending on candidate’s experience
Project scope:
- Work with Global Product and Operations stakeholders, across geolocations, to curate model scenarios and identify objectives for machine learning use cases on Data Center Infrastructure Monitoring (DCIM) platform
- Lead AI/ML initiatives from discovery, exploration, design, development to operationalizing in production
- Lead data exploration, data cleansing, ingestion, data wrangling and feature engineering
- Examine, experiment and leverage massive IoT data to develop solution for machine learning use cases
- Develop supervised and unsupervised machine learning algorithms and models
- Work with Machine Learning Engineer to develop and operationalize machine learning models at scale
- Partner with Global Operations Engineering team to measure and optimize model performance pre-production and post-production
- Engage and communicate model results & insights with stakeholders and executive leadership.
- Provide thought leadership in data center mechanical cooling systems domain with focus on energy optimization with respect to machine learning use cases.
- Explore new technology shifts, evaluate and recommend best practices related to AI and machine learning.
- Mentor data scientists and machine learning engineers to align effectively to meet business objectives.
Requirements:
- PhD with 7+ years of experience or Masters with 10+ years of experience in Computer Science, Data Science, or related fields.
- Knowledge of data center mechanical cooling systems domain with focus on energy optimization.
- 5+ years of applied machine learning experience in supervised and unsupervised learning with high dimensionality data leveraging algorithms such as multiple linear regression, logistics regression, deep neural network, k mean clustering, k nearest neighbor etc.
- 5+ years of experience in implementing the right machine learning algorithm for the use case, as well as at evaluating, improving and optimizing algorithm’s performance.
- 5+ years of experience in dimensionality reduction techniques such as Principal Component Analysis
- 2+ years of experience in developing machine learning solutions for time series IoT data
- 2+ years of experience in developing predictive modeling and anomaly detection system
- 5+ years of experience in programming languages such as Python or R and SQL
- 5+ years of experience in machine learning libraries and frameworks such as TensorFlow, Keras, Scikit Learn. Spark, etc.
- Strong mathematical background in linear algebra, calculus, probability and statistics
- Excellent verbal and written communication
- Fluent English
Nice to have:
- Knowledge of data center domain
- Knowledge of large scale data processing frameworks e.g. Map Reduce and Streaming
- Knowledge of Big Data/Machine Learning services on cloud providers such as AWS or GCP
- Knowledge of Recommender Systems and Reinforcement Learning techniques
We offer:
- Full-time job agreement
- Competitive salary and benefits (including VIP medical coverage)
- Pre-paid lunch cards
- Employment in a stable company with an established position in the market
- International business travels for trainings
- Training package to further master your hard as well as soft skills
- Office in Warsaw city centre
Prosimy o aplikowanie poprzez przycisk znajdujący się po prawej stronie ogłoszenia.
Opis stanowiska
Project information:
- Industry: Data Center
- Location: Warsaw, pl. Europejski
- Business trips: occasionally
- Remote work: 20%
- Project language: English
- Contract length: indefinite
- Start date: depending on candidate’s experience
Project scope:
- Work with Global Product and Operations stakeholders, across geolocations, to curate model scenarios and identify objectives for machine learning use cases on Data Center Infrastructure Monitoring (DCIM) platform
- Lead AI/ML initiatives from discovery, exploration, design, development to operationalizing in production
- Lead data exploration, data cleansing, ingestion, data wrangling and feature engineering
- Examine, experiment and leverage massive IoT data to develop solution for machine learning use cases
- Develop supervised and unsupervised machine learning algorithms and models
- Work with Machine Learning Engineer to develop and operationalize machine learning models at scale
- Partner with Global Operations Engineering team to measure and optimize model performance pre-production and post-production
- Engage and communicate model results & insights with stakeholders and executive leadership.
- Provide thought leadership in data center mechanical cooling systems domain with focus on energy optimization with respect to machine learning use cases.
- Explore new technology shifts, evaluate and recommend best practices related to AI and machine learning.
- Mentor data scientists and machine learning engineers to align effectively to meet business objectives.
Requirements:
- PhD with 7+ years of experience or Masters with 10+ years of experience in Computer Science, Data Science, or related fields.
- Knowledge of data center mechanical cooling systems domain with focus on energy optimization.
- 5+ years of applied machine learning experience in supervised and unsupervised learning with high dimensionality data leveraging algorithms such as multiple linear regression, logistics regression, deep neural network, k mean clustering, k nearest neighbor etc.
- 5+ years of experience in implementing the right machine learning algorithm for the use case, as well as at evaluating, improving and optimizing algorithm’s performance.
- 5+ years of experience in dimensionality reduction techniques such as Principal Component Analysis
- 2+ years of experience in developing machine learning solutions for time series IoT data
- 2+ years of experience in developing predictive modeling and anomaly detection system
- 5+ years of experience in programming languages such as Python or R and SQL
- 5+ years of experience in machine learning libraries and frameworks such as TensorFlow, Keras, Scikit Learn. Spark, etc.
- Strong mathematical background in linear algebra, calculus, probability and statistics
- Excellent verbal and written communication
- Fluent English
Nice to have:
- Knowledge of data center domain
- Knowledge of large scale data processing frameworks e.g. Map Reduce and Streaming
- Knowledge of Big Data/Machine Learning services on cloud providers such as AWS or GCP
- Knowledge of Recommender Systems and Reinforcement Learning techniques
We offer:
- Full-time job agreement
- Competitive salary and benefits (including VIP medical coverage)
- Pre-paid lunch cards
- Employment in a stable company with an established position in the market
- International business travels for trainings
- Training package to further master your hard as well as soft skills
- Office in Warsaw city centre
Dodatkowe informacje
- Ostatnia aktualizacja
- Wymiar etatu
- Pełny etat
- Rodzaj umowy
- Na czas nieokreślony
- Liczba wakatów
- 1
- Min. doświadczenie
- Od 5 do 10 lat
- Min. wykształcenie
- Wyższe licencjackie
- Branża / kategoria
- Praca IT - Project Management / Consulting, Praca IT - Programowanie / Software Development
Informacja prawna pracodawcy
The Personal Data Controller is Cyclad Sp. z o.o., ul. Chłodna 48/1, 00-872 Warszawa, e-mail: office@cyclad.pl, contact with the Data Protection Officer is available via e-mail: IOD@cyclad.pl. Personal data collected through job applications (CV) within the scope provided for in labor regulations shall be processed in order to allow performance of the ongoing recruitment pursuant to Art. 6(1)(a) of Regulation (EU) no. 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of individuals with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (further referred to as GDPR). In case of giving consent to processing of data for future recruitment processes – personal data shall be processed under the consent, pursuant to Art. 6(1)(a) of the GDPR. If the Application form contains data referred to in Art. 9(1) of the GDPR, it shall be necessary to have the candidates consent for the processing of such data (Art. 9(2)(a) of the GDPR). The consent can be revoked at any time. Withdrawal of the consent shall not affect the lawfulness of the processing that had been performed under the consent prior to its withdrawal.
Personal data provided by the candidate related to:
- participation in a selected recruitment process will be stored until the recruitment process is completed for a given position,
- participation in future recruitment processes will be stored until the candidate's consent to the processing of their data for this purpose is withdrawn, no longer, however, than for 5 years since the last update of the candidate’s data.
Personal data may be disclosed to employees or associates of the Company, entities providing support to the Company on the basis of outsourced services or in accordance with data processing agreements, to entities authorized under the law, as well as to entities collaborating with the Company within the scope of job placement, in order to conduct recruitment processes. After the employee’s consent, personal data may also be disclosed to a potential employer for whom the recruitment process is being conducted.
Submission of the candidate’s personal data within the scope under Art. 221 of the Labor Code is obligatory for participation in the recruitment process. Submission of other data by the candidate is voluntary. No submission of personal data within the required scope or
objection to the processing of such data shall result in lack of possibility to include the Application in the recruitment processes conducted by the Company.
The candidate has the right to access and rectify the contents of their data, remove such data, limit its processing, transfer such data, submit objection to the processing and revoke the consent at any time, without affecting the lawfulness of the processing conducted under such consent before it was withdrawn. The candidate also has the right to file a complaint with the President of the Office for Personal Data Protection when they consider the processing of their personal data to be a violation of the provisions of the GDPR.
Personal data provided by the candidate related to:
- participation in a selected recruitment process will be stored until the recruitment process is completed for a given position,
- participation in future recruitment processes will be stored until the candidate's consent to the processing of their data for this purpose is withdrawn, no longer, however, than for 5 years since the last update of the candidate’s data.
Personal data may be disclosed to employees or associates of the Company, entities providing support to the Company on the basis of outsourced services or in accordance with data processing agreements, to entities authorized under the law, as well as to entities collaborating with the Company within the scope of job placement, in order to conduct recruitment processes. After the employee’s consent, personal data may also be disclosed to a potential employer for whom the recruitment process is being conducted.
Submission of the candidate’s personal data within the scope under Art. 221 of the Labor Code is obligatory for participation in the recruitment process. Submission of other data by the candidate is voluntary. No submission of personal data within the required scope or
objection to the processing of such data shall result in lack of possibility to include the Application in the recruitment processes conducted by the Company.
The candidate has the right to access and rectify the contents of their data, remove such data, limit its processing, transfer such data, submit objection to the processing and revoke the consent at any time, without affecting the lawfulness of the processing conducted under such consent before it was withdrawn. The candidate also has the right to file a complaint with the President of the Office for Personal Data Protection when they consider the processing of their personal data to be a violation of the provisions of the GDPR.
