Big Data & Machine Learning Engineer @ Lansweeper in Rome, Italy



Big Data & Machine Learning Engineer

Job description

Lansweeper is an IT asset management software helping businesses better understand, manage and protect their IT devices and network. We currently discover and monitor around 100 million connected devices from 25,000+ customers, including Mercedes, FC Barcelona, Michelin, Sony, Carlsberg, Nestlé, IBM, Maersk and Samsung to governments, banks, NGOs, and Universities, driven by its 150+ strong teams in Belgium, Spain, Italy, Ireland, UK and the USA. Over 90% of our customers renew their subscriptions every year and we onboard 250 new customers every month. Our high-performance/high-reward culture emphasizes improvement and progress. Discover more about Lansweeper impressive growth on this video.

We are seeking a highly skilled and experienced Big Data and ML Engineer to join our team. The ideal candidate will be responsible for developing and maintaining large-scale data processing systems and machine learning models. The role requires in-depth knowledge of data management, processing, and machine learning technologies.

This is an excellent opportunity for someone who wants to work with cutting-edge technologies and make a significant impact on our organization’s data-driven solutions. If you are passionate about big data processing, machine learning development, and want to work in a dynamic and innovative environment, we encourage you to apply for this position.

Job requirements

A day in the life of:

– Design and implement highly scalable and reliable data processing systems

– Manage and optimize big data platforms such as Hadoop, Spark, Hive, Cassandra and NoSQL databases

– Develop and maintain machine learning models for predictive analytics, natural language processing, and computer vision

– Collaborate with cross-functional teams to identify and implement data-driven solutions

– Define the collection of data points: You will work closely with cross-functional teams to identify and define data points to collect, ensuring they are relevant and valuable to the organization

-Your responsibility will be to bootstrap the project and lay the foundation for future growth of the platform and of the data team

– Identify, collect, and preprocess data from various sources for analysis

– Develop and maintain data visualization tools for data exploration and reporting

– Stay up-to-date with the latest data processing and machine learning technologies and trends

– Ensure data security and privacy throughout the data processing and analysis pipeline

– Troubleshoot and debug issues in data processing and machine learning systems

Are you the new Big Data & ML Engineer at Lansweeper?

I am someone who has:

– Bachelor’s or Master’s degree in computer science, Data Science, or a related field

– 3+ years of experience in big data processing and machine learning development

– Experience with big data technologies such as Hadoop, Spark, and NoSQL databases

– Experience with AWS managed services like EMR, S3, Athena, Quicksight

– Proficiency in programming languages such as Python, Java, and Scala

– Experience with data visualization tools such as Tableau, Power BI, Superset and D3.js

– Strong problem-solving and analytical skills

– Excellent communication and collaboration skills

– Good knowledge of English to read and write documentation and to actively interact with global teams in the other EU/US locations

– Ability to work independently as well as in a team environment

– Strong attention to detail and ability to prioritize tasks

– Residence in Rome or nearby

Going for gold

– Experience with machine learning libraries such as TensorFlow, PyTorch, and Scikit-learn

– Experience with statistical modeling, machine learning, and deep learning techniques

– Familiar with cybersecurity, especially vulnerability and risk management spaces

Our Offer you can’t refuse

  • Growing along with a company in full expansion with leading tools and the newest technology
  • Easy-going teamwork
  • Fulltime long-term contract
  • Competitive wage
  • Extra company benefits like ticket restaurants, extra health insurance…
  • Flexible working hours
  • Teleworking equipment budget
  • Referral bonus
  • Internal and external training
  • Central and convenient office location

Meet our Recruiter Elvira Arnone