MLOps Engineer - (Remote - India, Malta, UK)

About Jobgether

JJobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for an MLOps Engineer in India, Malta, and the United Kingdom.

In this role, you will be responsible for building and optimizing machine learning pipelines, ensuring the quality of data, automating model retraining and validation, and creating systems for monitoring models in production. The ideal candidate will bring a deep understanding of Python and MLOps principles, as well as an attention to detail and a thoughtful approach to problem-solving. You'll be working with advanced technologies to enhance model performance and contribute to the company’s ML operations.

Accountabilities:

• Design and build ELT pipelines for efficient data processing and analysis.
• Construct automated MLOps pipelines for continuous model retraining and validation.
• Implement CI/CD pipelines to ensure smooth deployment of machine learning models and services.
• Develop services to monitor the performance and health of machine learning models in production environments.
• Collaborate with cross-functional teams to optimize model performance and maintain high standards of data quality.

• Strong proficiency in Python and experience with data processing frameworks.
• Familiarity with Docker and containerized applications.
• Basic understanding of machine learning concepts and techniques.
• Ability to write clean, maintainable, and efficient code for ML pipelines.
• Excellent problem-solving skills and attention to detail.

• Work on challenging and impactful projects with numerous opportunities for personal and professional growth.
• Join a welcoming and diverse team of highly skilled international professionals.
• Access to cutting-edge hardware and technology to support your work.
• Competitive salary and performance-based incentives.
• Flexible work environment with the option to work remotely from anywhere in the world.
• 40 paid days off to ensure work-life balance.
• A supportive corporate culture with internal events and a commitment to empowerment and collaboration.

Jobgether hiring process disclaimer

This job is posted on behalf of one of our partner companies. If you choose to apply, your application will go through our AI-powered 3-step screening process, where we automatically select the 5 best candidates.

Our AI thoroughly analyzes every line of your CV and LinkedIn profile to assess your fit for the role, evaluating each experience in detail. When needed, our team may also conduct a manual review to ensure only the most relevant candidates are considered.

Our process is fair, unbiased, and based solely on qualifications and relevance to the job. Only the best-matching candidates will be selected for the next round.

If you are among the top 5 candidates, you will be notified within 7 days.
If you do not receive feedback after 7 days, it means you were not selected. However, if you wish, we may consider your profile for other similar opportunities that better match your experience.

Thank you for your interest!

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