Machine Learning Engineer
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Cluj-Napoca

team

Artificial Intelligence

Summary

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.

Your role:

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

Long-Term Development:

Your growth is encouraged and sustained, to have a lifelong impact on your career.

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:

We ensure an environment where you are free to be creative and innovative, where you are encouraged and guided to achieve your professional goals.

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







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