Senior Software Engineer - Data Engineering & AI

We are seeking a talented and driven Data Engineer + AI Engineer with 2–6 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.

Requirements

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

• Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Information Technology, Software Engineering, or a related discipline.
• 2–6 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