Junior Machine Learning Engineer
Logivations
- Львов Тернополь
- Постоянная работа
- Полная занятость
- Work on cutting-edge AI technologies used by top global brands.
- Contribute to AI-driven solutions that optimize real-world operations.
- Receive competitive compensation in euros and professional growth opportunities.
- Collaborate with a dynamic, future-focused team that encourages you to innovate and learn.
- Mentorship & Learning: Work with experienced AI developers eager to share knowledge.
- Practical Exposure: Gain real-world experience with cutting-edge ML, CV, and robotics projects.
- Skill-Building: Develop in-demand Python, ML, and computer vision skills that accelerate your career.
- Apply Machine Learning & Computer Vision to logistics challenges.
- Implement & Extend state-of-the-art deep learning research (e. g. Llama from Meta and ChatGPT from OpenAI)
- Design Novel Solutions with your unique expertise and creativity.
- Work on guidance of autonomous vehicles, camera-based object identification, and object tracking.
- Stay Updated on new research to continuously refine our AI toolkit.
- Educational Background: Bachelor's or Master's in Computer Science, Mathematics, Statistics, Operations Research, or a related field.
- Technical Skills:
- Proficient in Python; basic C++ is a bonus.
- Comfortable with Linux, Bash, Docker.
- Familiarity with ML libraries or frameworks (e. g. TensorFlow, PyTorch, Keras, TensorRT, gstreamer, pyro, Numpy, Fastapi) is a plus.
- Learning Mindset: Eager to explore new research and tackle complex problems.
- Creative Innovator: You love developing fresh ideas to drive real-world impact.
- Team Player: Strong communication skills and a desire to collaborate.
- English Proficiency: Intermediate or higher English for daily communication.
- High-Impact, Exciting Projects: Solve challenging problems that shape the future of AI and robotics.
- Competitive Salary in Euros: Reflecting your expertise and contributions.
- Flexible Work Setup: 3 days in the office, 2 days at a location of your choice.
- Professional Growth: Work on the latest research; grow your skill set with continuous learning.
- Travel Opportunities: Visit clients and see your solutions in action around the globe.
- Supportive Environment: Modern workspace, collaborative team culture, and direct project ownership.
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