AI Engineer in Radantservice

Maya B LLC is an international holding company that has been working in the field of e-commerce for more than 15 years. Our head office is located in the USA, development offices in Ukraine, USA. The company has more than 50 employees. To date, Maya B LLC operates 5 subsidiary companies registered in the USA, Canada and Ukraine.

We are looking for a qualified artificial intelligence expert with deep knowledge and extensive experience in the development, implementation and optimization of AI solutions for projects in our company.

Responsibilities:

• Development, implementation and support of machine learning and artificial intelligence models intelligence.
• Analysis and interpretation of large volumes of data to identify trends and patterns.
• Collaboration with other teams to integrate AI solutions into company products.
• Constant monitoring and optimization of model performance.
• Participation in research and implementation of new AI techniques and algorithms.
• Creation of technical documentation and reports.

Requirements :

• Higher degree in Computer Science, Mathematics, Statistics or related field.
• Experience with Python, R, Java or similar programming languages .
• Knowledge and experience with machine learning libraries and frameworks (TensorFlow, PyTorch, scikit-learn, etc.).
• Experience with Big Data processing and tools for their analysis (Hadoop, Spark).
• Knowledge of machine learning algorithms, deep learning, natural language processing (NLP).
• Ability to work in a team and communicate effectively.
• li>Analytical abilities and attention to detail.

Desired skills:

• Experience with cloud platforms (AWS, Google Cloud , Azure).
• Experience with DevOps practices and tools (Docker, Kubernetes).

Availability of competencies:

Result-oriented

System thinking

Ability to find alternative solutions

Responsibility

Self-discipline

Attention to details

Ability to work in a team

Working conditions:

Work schedule: 8-hour working day

Remote work

Paid vacation 20 calendar days

Day off 5 days

Friendly and professional team

Opportunity to develop, learn (in including at the expense of the company)