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Machine Learning Engineer

Delphi Consulting Middle East

Dubai

Hybrid

USD 70,000 - 100,000

Full time

5 days ago
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Job summary

Join Delphi Consulting Middle East as a Machine Learning Engineer with a strong focus on MLOps and Databricks. This mid-senior level role involves designing and managing ML pipelines, deploying models, and collaborating with a remote cross-functional team. Enjoy a hybrid work model with continuous growth opportunities and a supportive environment.

Benefits

Competitive compensation package
Performance-based incentives
Health benefits
Company-sponsored certifications
Training programs

Qualifications

  • 2-3 years of hands-on experience with Databricks.
  • 1-2 years of experience building AI/LLM agents.
  • 3+ years of experience with Git for version control.

Responsibilities

  • Design, develop, and manage ML pipelines within Databricks.
  • Deploy, monitor, and retrain ML models in production.
  • Collaborate with remote teams to integrate ML models.

Skills

Python
SQL
PySpark
Databricks
DevOps
Collaboration

Job description

2 days ago Be among the first 25 applicants

Ready to embark on a journey where your growth is intertwined with our commitment to making a positive impact? Join the Delphi family - where Growth Meets Values.

At Delphi Consulting Pvt. Ltd. , we foster a thriving environment with a hybrid work model that lets you prioritize what matters most. Interviews and onboarding are conducted virtually, reflecting our digital-first mindset . We specialize in Data, Advanced Analytics, AI, Infrastructure, Cloud Security , and Application Modernization , delivering impactful solutions that drive smarter, efficient futures for our clients.

About the Role : We are looking for a highly skilled Machine Learning Engineer with a strong MLOps focus and hands-on experience with Databricks to join our dynamic team. The ideal candidate will play a key role in managing end-to-end ML pipelines, deploying models in a production-grade Databricks environment, and ensuring smooth collaboration across a remote, cross-functional team.

What you'll do :

  • Design, develop, and manage ML pipelines within the Databricks ecosystem.
  • Deploy, monitor, and retrain ML models in production.
  • Work with Python , PySpark , Spark , and SQL for large-scale data processing and model development.
  • Build and manage CI / CD pipelines in Azure DevOps for seamless model and code deployments.
  • Develop and maintain LLM agents using diverse data sources including databases and knowledge graphs in a Databricks environment.
  • Collaborate closely with remote data engineers , backend developers , and frontend developers to integrate ML models into applications.
  • Perform code reviews and contribute to code quality standards.
  • Create clear and concise documentation to track pipeline and model performance.

What you'll bring :

  • 2–3 years of hands-on experience with Databricks , including ML and data pipeline management.
  • 1–2 years of experience building AI / LLM agents that connect with Databricks.
  • Strong proficiency in Python , SQL , PySpark / Spark .
  • 3+ years of experience with Git for version control and collaboration.
  • 1–3 years of experience deploying machine learning models in production environments using Databricks.
  • 2+ years of DevOps experience , ideally in cloud environments.

What We Offer :

At Delphi, we are dedicated to creating an environment where you can thrive, both professionally and personally. Our competitive compensation package, performance-based incentives, and health benefits are designed to ensure you're well-supported. We believe in your continuous growth and offer company-sponsored certifications, training programs , and skill-building opportunities to help you succeed.

We foster a culture of inclusivity and support, with remote work options and a fully supported work-from-home setup to ensure your comfort and productivity. Our positive and inclusive culture includes team activities, wellness and mental health programs to ensure you feel supported.

Seniority level

Seniority level

Mid-Senior level

Employment type

Employment type

Full-time

Job function

Job function

Consulting and Information Technology

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