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 - Konsulting, Praca IT - Programowanie / Analizy
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.
