Junior AI Engineer

Company Name: Sheba Group

Location: Dhaka

Job Type: Full-Time

Workplace Type: On-Site

Job ID: IJOB202661480

Job Location: 8th Floor, Khawaja Tower, 95, Mohakhali C/A, Dhaka - 1212

Position Type: Permanent

Office Time: 9:00 AM – 6:30 PM

Reporting Relationship

Direct Reporting: AI Engineer

Functional Reporting: CTO

Company Information

Sheba Group is a dynamic and diversified conglomerate in Bangladesh, dedicated to innovation, excellence, and sustainable growth. With strong expertise in telecommunications and technology, the Group delivers impactful solutions that empower businesses and communities.

Through quality services, trusted partnerships, and customer-focused approaches, Sheba Group has built a respected position in the market. Its commitment to integrity, innovation, and economic development continues to drive progress in Bangladesh and beyond.

Position Overview

This position is responsible for developing scalable AI/ML solutions for enterprise applications, including Machine Learning, Deep Learning, Generative AI, LLMs, and RAG systems.

The role also supports AI model integration across cloud platforms, MLOps practices, deployment, monitoring, and automation solutions while collaborating with engineering teams to deliver reliable AI-driven business outcomes and maintain technical excellence.

Key Responsibilities

• Develop AI/ML solutions for enterprise applications, ensuring scalable implementation and effective business outcomes.
• Work with machine learning and deep learning models to support model development, performance improvement, and accurate AI-driven results.
• Support the integration of AI models and services across enterprise platforms, including cloud environments such as GCP, AWS, and Microsoft Azure.
• Contribute to the implementation of Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI automation solutions.
• Support AI solution deployment and lifecycle management through MLOps practices and monitoring.
• Collaborate with Cloud, Software Engineering, and DevOps teams to maintain scalable production systems.
• Create technical documentation and stay updated with emerging AI technologies.
• Contribute to continuous improvement, knowledge sharing, and innovation within AI initiatives.
  
  

Job Requirements

Experience Requirements

• 0–2 years of practical experience working with cloud platforms such as Google Cloud Platform, Microsoft Azure, Oracle Cloud, or Alibaba Cloud.
• Experience using machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Experience with version control tools such as Git.
  
  

Technical Skills

• Hands-on experience with GCP services such as Vertex AI, BigQuery, Cloud Storage, and other related cloud-based AI tools.
• Strong programming skills in Python for developing, training, testing, and deploying machine learning models.
• Familiarity with Docker, Kubernetes, API Integration, CI/CD Pipelines, and infrastructure tools such as Terraform.
  
  

Core Job Knowledge

• Good understanding of machine learning model training, evaluation, deployment, monitoring, and performance improvement.
• Knowledge of data processing, ETL workflows, and cloud-based data pipeline management.
  
  

Industry Domain Knowledge

• Understanding of cloud-based AI/ML solutions and their applications in supporting business needs.
• Knowledge of AI model deployment, cloud infrastructure, and modern MLOps practices will be an added advantage.
  
  

Soft Skills

• Problem-Solving
• Communication
• Teamwork
• Adaptability
• Ownership
  
  

Requirements

• Experience: 1 to 2 years
• Education: Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field.
• Skills: Artificial Intelligence (AI), Machine Learning (ML), AWS .NET SDK
  
  

Last Date of Application: 19 August 2026