Machine Learning Engineer
Stillingsannonsen er inaktiv.Arundo Analytics
Oslo
Job Description
We are looking for a machine learning engineer with expertise in machine learning operations (MLOps). You should have experience in working with end-to-end machine learning life cycles, in particular designing and implementing data-driven business solutions into production as well as monitoring and updating them. You are a proactive problem solver who is able to work with a team from different functional areas.
Responsibilities include
- Working with cross-functional delivery teams to standardize and automate our data science project delivery.
- Putting analytical solutions into production.
- Contributing to Arundo software products via a close collaboration with the engineering team.
- Developing machine learning enhanced data products.
Preferred Qualifications
Academic
- Master's degree in computer science, engineering or a related field.
Technical skills and work experience
- You have expertise in implementing and managing machine learning models.
- You have professional software development experience in a team setting.
- You have strong experience with standard open source data science tools such as Python, Jupyter, SQL, Spark and git. Python experience strongly preferred.
- You have experience applying data science and machine learning to real-world problems.
- You have a good grasp of machine learning, statistical analysis and mathematical modelling.
- You are able to work alongside technical and non-technical team members and customers
- You have good communication skills and an advanced level of English.
Desired additional experience/skills
- You have data engineering experience.
- You have experience with time series analysis.
- You have experience with anomaly detection techniques.
- You have knowledge of oil & gas or other heavy industry (e.g. maritime, renewables, power, manufacturing, etc)
Travel
Up to 25%
We Offer
- A values driven company with an inclusive and autonomous culture
- Highly talented and dedicated colleagues
- Collaborative environment with our offices in the US and in Europe
- Opportunity to work with cutting edge technology
- Fun environment - we take fun seriously and have appointed a VP of Fun
- Regular team building activities
- Several social clubs of own choice (Data Science Club, Running Club, FemalesArundo)
- Collaboration with Stanford/StartX and MIT/STEX25
- Newly refurbished office downtown Oslo, close to the castle
- Free snacks in the office
- Competitive salary and participation in the employee stock option program
- Pension plan, medical services membership, travel insurance
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status
Disclaimer
This job description is intended to describe the general nature and level of the work being performed by individuals in the position. It is not intended to include every job duty and responsibility specific to the position. Arundo reserves the right to amend and change responsibilities to meet business and organizational needs as necessary.
Om arbeidsgiveren
Arbeidsgiver
Arundo Analytics
Adresse
Wergelandsveien 7, 0167 Oslo
Hjemmeside
Arundo is a software company based in Oslo, Norway; Houston, TX; and Palo Alto, CA, with presence in 7 locations in Europe and the Americas. Our software enables advanced analytics, machine learning, and IoT applications for more efficient, safer, and more effective physical systems in heavy industries such as energy, chemicals, and shipping. Founded in 2015, Arundo currently consists of around 100 software engineers, data scientists, designers, and industrial domain experts.
Our team members are passionate about being part of a company that can solve tough problems and create innovative solutions. We believe in a fun environment, where our people can be fearless and feel empowered to always do the right thing. Arundites come from many different backgrounds including academia, industry, and even a submarine! We look for smart, creative thinkers with a player-coach mindset who can wear multiple hats and contribute to our exciting future!
Om stillingen
Stillingstittel
Machine Learning Engineer
Heltid/deltid
Heltid
Sektor
Privat
Sist endret: 16. april 2020
Hentet fra: FINN
Referanse: 165476497
Stillingsnummer: 39db0163-c857-4a41-ad22-8c68edae7e7a