Great Place to Work’ Certificate
Senior Machine Learning Engineer
Objectivity sp. z o.o.
- offer expired 2 months ago
- contract of employment
- specialist (Mid / Regular)
Technologies we use
About the project
Data science is a rapidly developing field. According to Google, only 2% of the data currently stored is actually processed to gain business insights. New algorithms and approaches are constantly being developed, but the everlasting challenge remains the application of these algorithms so as to solve real-world business problems.
Objectivity builds software that serves powerful machine learning models to end-users. You will become part of a team of data scientists, machine learning engineers and data engineers that develop data processing and machine learning pipelines. You will develop your skills in building production-ready machine learning-based solutions to business problems. You will collaborate with other experts – developers, testers, user experience, architects, project managers and business analysts – in the process of developing complete software solutions.
Identifying information gaps and looking for other data sets to fill in the blanks – including recognizing data quality issues and addressing them (either by cleaning the data or proposing the process changes),
Implementing robust data pre-processing pipelines; data can be structured or unstructured,
Ensuring code quality on production environments,
Preparing machine learning development environments,
Interacting with broader teams of data scientists and software developers to deliver complete software packages.
Building CI/CD/CT machine learning pipelines,
Strong programming skills in Python,
Master’s degree in Computer Science or similar – with strong knowledge of software engineering,
Basic understanding of data storage landscape,
Experience in building robust data processing pipelines,
Knowledge of how machine learning models are built and optimized,
Basic understanding of machine learning algorithms and pipelines,
Experience deploying machine learning models in cloud environments (Azure, GCP or AWS),
Participated in machine learning related projects,
Attention to details, inquisitive mindset and self-reliance,
Ability to communicate fluently in English (at least B2 level, both in speaking sand writing),
Sense of humour :)
What we offer
Our organizational culture is based on knowledge-sharing and friendly help – we do our best to provide every support you need to excel at what you do,
We offer you an inspiring working environment – you will cooperate with experts in various fields,
We develop software in the cloud,
We work on diverse projects and with various technologies: anomaly detection, recommendation engines, computer vision, natural language processing,
We do our best to make you feel comfortable with us by offering, among others: English classes within working hours, medical care for you and your family or partner, Multisport card and others.
Your voice is heard – since our philosophy is based on good practices and open communication,
… Even if we do not get to start our cooperation, you are certain to receive extensive feedback including both business and technical aspects. We believe it is one of the most valuable development tools.
Working remotely or at the Wrocław/Gdańsk office
Contract for an indefinite period from day one
Private medical care for you, your partner and kids
Private investment fund
Life and travel insurance
Multisport card that can be exchanged for Cafeteria System
Development within working hours (8 days/year)
Over 70 internal technical training and soft skill workshops
English or German classes during working hours
33 days of sick-leave with 100% of salary paid
Relocation bonus (6000 PLN)
Bonus for recommending (2000/8000 PLN)
Objectivity sp. z o.o.
Objectivity is a values-driven IT outsourcing partner. We are Digital Transformation Specialists who create Win-Win solutions for all our stakeholders. Our specialty is designing, delivering and supporting IT solutions that help our clients grow. As a mature organisation, we have an ethical framework that supports our activities. We are socially engaged, and always willing to help.