Senior Software Engineer Data Engineering & AI

We are seeking a talented and driven Data Engineer AI Engineer with 26 years of experience to join our team. The ideal candidate will be responsible for designing and maintaining scalable data pipelines managing data infrastructure and developing AI/ML solutions that support business objectives. This role requires expertise in both data engineering and artificial intelligence enabling the delivery of end-to-end data-driven and intelligent applications.

Core Responsibilities

Design develop and maintain scalable data pipelines and ETL/ELT workflows.
Build and optimize data architectures data warehouses and data processing systems.
Develop train evaluate and deploy machine learning and AI models.
Collaborate with cross-functional teams to deliver data-driven and AI-powered solutions.
Ensure data quality integrity security and governance across all data systems.
Optimize database performance and large-scale data processing workflows.
Implement and maintain MLOps practices including model deployment monitoring and automation.
Work with cloud-based data and AI services to build scalable solutions.
Troubleshoot and resolve issues related to data pipelines infrastructure and AI models.
Stay current with emerging technologies and best practices in data engineering and artificial intelligence.

Qualification

Bachelors degree in Computer Science Data Science Artificial Intelligence Information Technology Software Engineering or a related discipline.
26 years of professional experience in Data Engineering AI Engineering Machine Learning Engineering or a related field.

Required Skills

Strong proficiency in Python and SQL.
Experience with relational and non-relational databases (PostgreSQL MySQL MongoDB etc.).
Hands-on experience building and maintaining ETL/ELT pipelines.
Knowledge of data orchestration tools such as Apache Airflow or similar platforms.
Experience with big data technologies such as Apache Spark Kafka or Hadoop.
Proficiency in machine learning frameworks such as TensorFlow PyTorch or Scikit-Learn.
Experience developing and deploying AI/ML models in production environments.
Familiarity with cloud platforms such as AWS Azure or Google Cloud Platform (GCP).
Understanding of MLOps model monitoring CI/CD pipelines and version control using Git.
Knowledge of Generative AI LLMs RAG frameworks or NLP concepts is a plus.
Strong analytical and problem-solving skills.
Excellent communication and collaboration abilities.
Ability to work independently and manage multiple priorities.
Strong attention to detail and commitment to quality.
Continuous learning mindset with a passion for emerging AI and data technologies

Required Experience:

Senior IC