16d 16h ago
Data Engineer
🏢On-site
|Islamabad, Pakistanairflowapacheawsazure+10
Data Engineer
2 weeks ago
On-site
Full Time
Pakistan, Islamabad
Position:
Senior Software Engineer - Data Engineering & AI
Company:
Cluster Head
Location:
Pakistan, Islamabad
Employment type:
Full time
Short Summary:
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.
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.
Requirement:
- 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.
- 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.
Senior Software Engineer - Data Engineering & AI
Company:
Cluster Head
Location:
Pakistan, Islamabad
Employment type:
Full time
Short Summary:
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.
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.
Requirement:
- 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.
- 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 Skills
airflowapacheawsazureetlgcphadoopkafkamlopspythonpytorchscikit_learnsqltensorflow
Required Languages
🇬🇧 English