Senior Software Engineer - Data Engineering & AI

Devsinc 17; Islamabad; On-site; PKR 1,800,000 - 2,800,000; Full time

Job summary

Devsinc 17 is seeking a Data Engineer + AI Engineer with 2-6 years of experience to design and maintain scalable data pipelines and AI solutions. You will manage data infrastructure, ensure quality, and deploy ML models in production environments.

The role requires strong Python/SQL skills, experience with distributed data tools, and cloud platform familiarity (AWS/Azure/GCP). You will work across teams to deliver data-driven applications from ediscovery to insights.

Qualifications

• Bachelor's degree in Computer Science, Data Science, AI, IT, or related field.
• 2-6 years of professional experience in Data Engineering or AI/ML areas.

Responsibilities

• Design, develop, and maintain scalable data pipelines (ETL/ELT).
• Build data architectures and data warehouses.
• Develop, train, evaluate, and deploy ML/AI models.
• Collaborate with cross-functional teams to deliver AI-powered solutions.

Skills

Python

SQL

Data analysis

Problem-solving

Communication

Independent work

Attention to detail

Continuous learning

Education

Bachelor's degree in Computer Science or related field

Tools

PostgreSQL

MySQL

MongoDB

ETL/ELT pipelines

Apache Airflow

Apache Spark

Kafka

Hadoop

TensorFlow

PyTorch

Scikit-Learn

AWS

Azure

GCP

Git

CI/CD

Job description

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