AI Jobs

Education Requirements:

• B.Sc. or higher in Computer Science or similar

Experience Requirements:

• 10+ years of experience developing backend systems with a passion for excellence

• 5+ years of experience in Python

• 5+ years of experience with tools such as containers, CI/CD, testing/monitoring / logging

• Experience with REST APIs, server-side API integration, queues, and distributed systems

• Knowledge of ORM, SQL, and Data Modeling

Responsibilities:

• Help us build a world class scalable backend platform

• Responsible for the end-to-end feature lifecycle: starting from design and architecture, through implementing, testing, and releasing the feature

• Take part in architecture design and technological leadership

Education Requirements:

• BSc./MSc. In CS or similar – an advantage

Experience Requirements:

• 5+ years experience as a Machine Learning Engineer

• 10+ years of experience with Python/Java/Scala

• Strong understanding of distributed systems, object-oriented programming and design patteri

• Distributed Compute frameworks such as Spark, Dask, Ray etc

• Hands-on experience designing, training, and deploying machine-learning models

Responsibilities:

• Work on pecans’s core data and machine learning infrastructure

• Create innovative solutions for data ingestion and normalization from multiple data sources, feature engineering and feature selection, as well as actual model training and evaluation

Education Requirements:

• BSc./MSc. In CS or similar – an advantage

Experience Requirements:

• 10+ years experience as a Machine Learning Engineer

• 15+ years of experience with Python/Java/Scala

• Strong understanding of distributed systems, object-oriented programming and design pattern

• Distributed Compute frameworks such as Spark, Dask, Ray etc

• Experience with REST APIs, server-side API integration, queues and distributed systems

Responsibilities:

• Work on pecans’s core data and machine learning infrastructure

• Create innovative solutions for data ingestion and normalization from multiple data sources, feature engineering and feature selection, as well as actual model training and evaluation

Education Requirements:

• Bsc in a relevant field

Experience Requirements:

• 5 years of experience as a data scientist working on tabular data

• Proficient in Python, SQL, and Spark

• Experience in creating measurable value with ml (defining KPI’s, designing AB tests, monitoring)

• Experience with time series

• Experience with AWS / Databricks – advantage

Responsibilities:

• Work at the forefront of the data world, optimizing predictive models and assisting our clients to use those predictions to affect their business

• Continuously helping our clients achieve their business goals, and reinforce the value of Pecan’s modules, and the ease of use of our platform

• Handle complex data science challenges using state-of-the-art techniques such as custom loss-functions, auto-encoders, embeddings, LSTM, and many more

Benefits:

• Comprehensive health package (dental and vision)

• 5 Ocrolus Appreciation Days (reset days)

• 401K plan (Betterment)

• Unlimited paid time off

• Flexible schedule & Summer Fridays off Paid parental leave (up to 3 months) Catered lunch and dinners Annual learning & development stipend Equity packages CitiBike membership

Benefits:

• Comprehensive health package (dental and vision)

• 5 Ocrolus Appreciation Days (reset days)

• 401K plan (Betterment)

• Unlimited paid time off

• Flexible schedule & Summer Fridays off Paid parental leave (up to 3 months) Catered lunch and dinners Annual learning & development stipend Equity packages CitiBike membership

Benefits:

• Comprehensive health package (dental and vision)

• 5 Ocrolus Appreciation Days (reset days)

• 401K plan (Betterment)

• Unlimited paid time off

• Flexible schedule & Summer Fridays off Paid parental leave (up to 3 months) Catered lunch and dinners Annual learning & development stipend Equity packages CitiBike membership

Benefits:

• Up to €1000 budget for growth

• Monthly work-from-home compensation

• 25 working days of holiday