As a member of our AI team, you would build and optimize state of the art machine learning solutions, while leveraging your data mining, deep learning, content understanding & language understanding skills.
Being part of our team also means you’ll gain invaluable exposure to the latest trends, by participating to well-renowned AI conferences such as CVPR, ICML & ECCV together with your peers from the AI community.
About the team
The team is involved in delivering AI solutions and services. It often consists of Data Scientists and Machine Learning Engineers, as part of the delivery team in which several other roles are present: PM, Business Analyst, UX Designer, Application/DevOps Architect, Frontend and Backend Developers, QA Engineer.
About the projects
Our projects can range between 8 and 20 weeks, while an account usually addresses several projects with different deliverables. We get involved in any kind of AI related activities, be they in the discovery, prototyping, or implementing phase.
We also have joined-effort approaches, where we rely on a collaboration with other teams such as IoT, SAP, Hybris, RPA.
Understand business objectives and develop models that help to achieve them, along with metrics to track their progress
Analyze the ML algorithms that could be used to solve a given problem
Explore ways of understanding/visualizing data
Define the preprocessing or feature engineering to be done on a given data set
Define data augmentation pipelines
Train models and tune their hyper-parameters
Deploy models to production
Verify data quality, and mechanisms for data cleaning
Supervise the data acquisition process if more data is needed
Find available datasets online that could be used for training
Define validation strategies
Match your skills:
BS/MS in Computer Science/Engineering
Fundamental understanding of machine learning concepts including developing models and tuning the hyper-parameters, as well as deploying models and building ML services
Understanding of state-of-the-art Machine Learning techniques, Deep Learning, Recommendations and Computer Vision
Experience with data processing and visualization
Python programming skills
Experience with frameworks like Sklearn, TensorFlow, Keras, Caffe or PyTorch
Have strong communication skills, analytical and problem-solving skills, the ability to work independently, and a strong focus on quality
Willing to develop:
Industry specific business knowledge and functional expertise
Broaden and deepen knowledge in terms of machine learning concepts and models
Reasons to join Accesa
Technical workshops, trainings, certifications
Performance bonuses may be granted for projects and specialized trainings
English and German in-house classes
Dedicated time for study and research
Internal library and e-learning platforms access
Innovation & Challenges:
Leadership, project management and consultancy learning programs
Hackathons and ideas incubator
Cell-based organisation & agile work environment
Equilibrium – Wellbeing Program:
Building a career and enjoying a thriving personal time can be challenging. That’s why we are committed to empowering you with the necessary tools, resources and strategies, you need to drive your lifestyle choices to a happy and a healthy path.
Work-Life Balance: flexible schedule, home office, vacation package – extra day each year
Physical Wellbeing: fitness instructor, sports & swimming classes, nutrition counseling, private medical insurance
Social Wellbeing: hobby clubs to support your passions, team building activities, weekly and annual social events, GoPro communication trainings, acts of kindness
Emotional Wellbeing: In-house coach (psychologist), focus and mindfulness apps, soft skills workshops, CPI personality assessments
Not necessarily looking for a job, but for a real development opportunity?
We might have you covered on this.