Responsibilities:

- Able to help the product team in developing AI-driven solutions that align with business objectives.

- Acts as an engineering leader and technical expert, providing guidance and expertise across projects.

- Develops detailed engineering plans for the engineering team, establishing clear timelines for tasks and projects.

- Responsible for hiring, training, and mentoring engineering staff, fostering skill development and cultivating a high-performance team culture.

- Takes operational responsibility for the services owned by the engineering team, ensuring services are consistently running and meeting performance standards.

- Is responsible for ensuring the quality of AI systems throughout their lifecycle by testing model performance, validating data quality, ensuring adherence to ethical standards, and monitoring post-deployment performance.

- Possesses strong engineering knowledge to identify, assess, and mitigate technical and operational risks, ensuring the project's long-term maintainability.

 

Requirements:
- At least 4 years of experience in developing AI systems and products.

- Strong communication skills to effectively convey complex concepts.

- Exceptional problem-solving skills with a creative, critical approach to addressing real-time challenges.

- Proficient in Python programming.

- Detailed knowledge of linear algebra, and statistics to support AI model development and evaluation.

- In-depth understanding of machine learning algorithms and frameworks such as PyTorch.

 

Nice to Have:

- Knowledge of various databases, including relational (e.g., PostgreSQL) and NoSQL (e.g., MongoDB, Redis) with expertise in selecting the right database for specific use cases and optimizing performance. 
- Familiarity with big data technologies and frameworks, such as Hadoop, Spark, or Kafka, with the ability to process, analyze, and derive insights from large-scale datasets efficiently.
- Experience with containerization and orchestration tools like Docker and Kubernetes for deploying and managing AI systems at scale.

Benefits:

Supplementary Health Insurance – Full coverage for employees
Friendly and creative team
Job security
Full social security insurance
Annual Bonuses & Performance Incentives – Rewarding excellence and dedication
Team Events & Gatherings – Regular outings, team-building activities, and celebrations