This job post is closed and the position is probably filled. Please do not apply.
🤖 Automatically closed by a robot after apply link
was detected as broken.
Description:
Viseven Group is a leading global B2B MarTech service provider, empowering Pharma and LifeScience companies since 2009.
The mission is to drive digital transformation and excellence, offering comprehensive end-to-end software and digital marketing services tailored to the pharmaceutical industry.
The company's solutions, products, and services are actively used by the top 100 Pharma and Life Science companies.
The team consists of over 700 highly skilled professionals, including experts in development, design, business analysis, project management, delivery, sales, marketing, and customer success.
The company has a global footprint in more than 30 countries and physical offices in Ukraine, Poland, Estonia, India, and the US.
Responsibilities include understanding business objectives, developing models, analyzing ML algorithms, building scalable machine learning solutions, applying machine learning algorithms, exploring and visualizing data, verifying data quality, managing data acquisition, training models, analyzing errors, managing infrastructure, providing support to engineers and product managers, collaborating with data engineers, liaising with stakeholders, and developing machine learning applications.
Requirements:
Proven experience as a Machine Learning Engineer or similar role is required.
Understanding of data structures, data modelling, and software architecture is essential.
Deep knowledge of math, probability, statistics, and algorithms is necessary.
Demonstrated technical expertise in architecting solutions around AI, ML, deep learning, and related technologies is required.
Experience in developing AI/ML models in real-world environments and integrating them into large-scale enterprise applications is needed.
In-depth experience with AI/ML and Data analytics services on Amazon Web Services and/or Microsoft Azure is essential.
Effective data exploration and visualization skills using tools like Excel, Power BI, Tableau, or Qlik are required.
Familiarity with machine learning frameworks and libraries is necessary.
Excellent communication skills and the ability to work in a team are essential.
Outstanding analytical and problem-solving skills are required.
The ability to explain complex processes to non-experts is necessary.
Experience with Amazon Cloud and AWS AI services is required.
Proficiency in English at an upper-intermediate level or higher is necessary.
Previous experience in client communication and technical consultation is required.
A background in the Pharma domain is preferred.
Benefits:
Competitive compensation with regular performance-based salary and career development reviews is offered.
Team members will join a passionate, experienced team in a friendly atmosphere.
Opportunities for professional and career advancement are available.
Paid time off includes 18 business days per year, increasing to 20 business days after 2 years of service.
Sick leave includes 4 non-documented business days and 20 documented business days per year.
Family leave provides 3 paid business days for marriage, childbirth, or bereavement.
Comprehensive medical insurance coverage is provided.
Learning opportunities for improving English language skills are available.
Participation in forums and conferences for professional development is encouraged.
Regular team-building activities and corporate events are organized.
A comfortable, fully equipped office and the possibility to work from home are offered.