Senior AI Engineering (Machine Learning)

3 Lý do để gia nhập công ty

• Attractive remuneration package with 18 days off
• Smart people, interesting project & swiss quality
• Travel opportunities to Switzerland

Mô tả công việc

• Adhere to the service process, best practices & principles
• Produce efficient and high-quality delivery via learning on the job.
• Delivery of high-quality service together with the team, including analyzing, processing, troubleshooting, testing, and documentation
• Implement or integrate an AI/ML solution from requirement to delivery
• Self-manage tasks as per the timelines and quality 

Yêu cầu công việc

• Bachelor’s degree in computer science, AI, or related
• Strong knowledge of Python or other programming languages
• Able to read and write technical documents in the English language
• Good technical, analytical, and problem-solving skills
• Passionate, pro-active, and keen to learn new technologies
• Knowledge of Machine Learning Algorithms, LLM, Deep Learning, NLP, and Computer Vision
• Experience with data preprocessing, feature engineering, and model evaluation techniques.
• Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, OpenAI, RAG,..)
• Experience with software engineering and collaboration tools (e.g., Git, JIRA, Microsoft Teams)
• At least 5 years of experience working in the IT industry
• Including at least 3 years of experience in the AI field as an AI/ML engineer or similar position
• Proven experience in coaching and supervising other developers and team members

Nice to have

• Knowledge of AI Cloud (Azure, AWS, OCI) is a plus
• Knowledge of MLOps tools (e.g., Mlflow, Kubeflow, etc.)
• Knowledge of big data platforms (e.g., Spark, Databricks) or data analysis tools (e.g., pandas)
• Experience in leading a project or a team

Tại sao bạn sẽ yêu thích làm việc tại đây

• Professional European-based company
• Attractive salary
• Performance bonus of up to 4 months‘ salary
• Opportunities for travel to Europe
• Hybrid home/office working model
• Flexible working time
• Structured training & development roadmap
• Good work-life balance
• Premium healthcare insurance
• Loyalty programs
• Well-being activities
• Annual company trips and team-building events