Senior AI Developer

About Us: BCF Software is at the forefront of technological innovation, dedicated to developing state-of-the-art AI and machine learning solutions. We are looking for a talented AI Data Engineer to join our team and drive the development of our next-generation AI systems. If you thrive in a dynamic environment and have a passion for data engineering, we want to hear from you.

Position Overview: As an AI Data Engineer at BCF Software, you will play a crucial role in designing, building, and optimizing data pipelines, developing scalable systems, and ensuring robust observability and data management across our AI platforms. Your collaboration with data scientists and machine learning engineers will be key to the successful preparation and deployment of high-performance AI models.

Key Responsibilities:

Pipeline Development:

• Design, build, and optimize data pipelines for model training and inference systems.
• Collaborate with data scientists and machine learning engineers to ensure efficient data preparation and feature engineering.

Scaled System Development:

• Architect and implement scalable systems for model inference, data retrieval, and acquisition to support high-performance AI applications.
• Optimize performance and reliability to handle large-scale data processing.

Observability:

• Develop and implement robust logging and monitoring solutions for AI systems.
• Ensure effective traceability, debugging, and performance monitoring across the AI platform.

Data Management:

• Work with both structured and unstructured data sources to support a variety of AI initiatives.
• Ensure that data engineering practices comply with company policies and industry regulations related to data security and privacy.

Innovation:

• Stay updated on the latest advancements in data engineering and AI technologies to continuously enhance our systems and processes.

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
• Advanced proficiency in Python for data processing and scripting.
• Hands-on experience with one or more cloud computing platforms (Azure, AWS, GCP).
• Practical experience with big data technologies and distributed computing frameworks.
• Proficiency in RDBMS/NoSQL data stores and understanding of their appropriate use cases.
• Experience with Data as Code practices, including version control, small and regular commits, unit tests, CI/CD, and packaging.
• Familiarity with containerization tools such as Docker and Kubernetes is a plus.
• Understanding of AI/ML principles and practices, including model training, inference, and deployment.
• Experience with Infrastructure as Code is a plus.
• Strong problem-solving skills with a keen attention to detail.
• Excellent communication skills and fluency in English.

What We Offer:

• A dynamic work environment that blends the excitement of a start-up with the resources of a leading technology company.
• Opportunities to work with cutting-edge technologies and contribute to groundbreaking AI projects.
• Competitive salary and benefits package.
• Flexible working hours and remote work options.
• Supportive and innovative team culture.