Senior AI Engineer
Java Leadership Management
Salary
Location
Benefits
Work-from-home
Yearly salary review
Travel/company trips
Performance bonus
Free lunch and Snacks
Extra health insurance
13th month salary
Full social insurance
Job Overview And Responsibility
- 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
Required Skills and Experience
- 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 4 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
Why Candidate should apply this position
- 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
Preferred skills and experiences
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
Report to
Group Leader or Division Manager
Interview process
1-2 round Offline interview with HR + Technical Manager
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