Applied AI Engineer — End-to-End ML for Real Impact

Raincode.tech; Manama; Remote; BHD 23,000 - 34,000; Full time

Job summary

Raincode.tech is seeking a mid-level AI Engineer to join client projects as part of staff augmentation and delivery. You will design, develop and deploy AI/ML solutions, collaborating with client stakeholders and Raincode teams on-site or remotely, with focus on the Scandinavian market.

You will work with modern AI frameworks, build end-to-end pipelines from data ingestion to production, and mentor junior engineers while upholding software engineering best practices.

Qualifications

• 3–5 years of AI/ML engineering experience.
• Proficiency in Python and data/ML libraries.
• Experience with NLP and/or computer vision frameworks.
• Cloud ML services and containerization (Docker/Kubernetes).
• Strong software engineering practices (Git, CI/CD, testing).

Responsibilities

• Collaborate with client stakeholders to gather requirements, define success metrics, and align AI solutions with business objectives.
• Design and develop machine learning models and AI systems (NLP, computer vision, recommendation systems, etc.) using frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Build and maintain data pipelines for structured and unstructured data, including ETL processes, data cleaning, and feature engineering.
• Implement and optimize inference services and microservices for model deployment using tools such as Docker, Kubernetes, or serverless architectures.
• Integrate third-party AI tools and APIs (e.g., OpenAI, AWS SageMaker, Azure Cognitive Services, Hugging Face) into web and mobile applications.
• Monitor, evaluate, and improve model performance in production environments, including retraining and fine-tuning to meet performance and SLA requirements.
• Follow software engineering best practices including version control (Git), CI/CD pipelines, testing, and documentation.
• Document AI architectures, APIs, workflows, and best practices for both client and internal use.
• Mentor junior engineers in AI best practices, coding standards, and business-oriented solution design.
• Maintain professional communication with client stakeholders and represent Raincode with technical excellence and integrity.

Skills

Python

AI/ML engineering

NLP/CV knowledge

Client-facing communication

Education

Bachelor's degree in CS/related field

Tools

TensorFlow

PyTorch

scikit-learn

Docker

Kubernetes

OpenAI API

SageMaker

Azure Cognitive Services

Hugging Face

Job description

Raincode.tech is seeking a mid-level AI Engineer to join client projects as part of staff augmentation and delivery. You will design, develop and deploy AI/ML solutions, collaborating with client stakeholders and Raincode teams on-site or remotely, with focus on the Scandinavian market.

You will work with modern AI frameworks, build end-to-end pipelines from data ingestion to production, and mentor junior engineers while upholding software engineering best practices.