AI / ML Engineer

Company: Datamatics Technologies

Location: Bengaluru, Karnataka, India

Type: Full-time

Posted: 2026-07-10

About this role

# Job Description: AI / ML Engineer

Job Title: AI / ML Engineer
Experience: 3–11 Years
Location: Riyadh (Onsite)
Employment Type: Full-Time

## Job Overview

We are seeking a skilled AI / ML Engineer with 3–11 years of experience to design, develop, deploy, and optimize machine learning and generative AI solutions. The ideal candidate will have hands-on expertise in building scalable AI/ML models, working with cloud-native AI platforms, and implementing production-ready machine learning pipelines. Experience with modern AI frameworks, large language models (LLMs), and MLOps practices is highly desirable.

## Key Responsibilities

  • Design, develop, train, and deploy machine learning and deep learning models for enterprise applications.
  • Build and optimize end-to-end ML pipelines for data ingestion, model training, evaluation, and deployment.
  • Develop Generative AI and LLM-powered applications using modern AI frameworks.
  • Collaborate with data engineers, software developers, and business stakeholders to deliver AI-driven solutions.
  • Deploy and monitor ML models on cloud platforms while ensuring scalability, reliability, and security.
  • Optimize model performance through feature engineering, hyperparameter tuning, and continuous evaluation.
  • Implement MLOps best practices including model versioning, monitoring, and CI/CD automation.
  • Stay current with advancements in AI, machine learning, and cloud AI services.

## Required Technical Skills

### Cloud AI Platforms

  • Hands-on experience with **GCP Vertex AI or Azure Machine Learning or AWS SageMaker**.
  • Experience with **Azure OpenAI or AWS Bedrock** for Generative AI solutions.
  • Experience with **BigQuery ML and Dataflow** for data processing and machine learning workflows.

### Programming & Machine Learning

  • Strong proficiency in **Python**.
  • Experience developing machine learning solutions using **TensorFlow or PyTorch**.
  • Strong understanding of supervised, unsupervi...

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