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Associate Machine Learning Ops Engineer Job Opening In Singapore, Singapore – Now Hiring Ensign Infosecurity


Job description

Ensign is hiring

Ensign is committed to harnessing the power of artificial intelligence and machine learning to drive cutting-edge solutions for Cyber Security.

We are looking for a skilled Associate Machine Learning Ops Engineer with expertise in model deployment and AI model building to join our dynamic team.

This role is crucial in ensuring that our machine learning models are effectively developed, optimized, and deployed to production environments.

Responsibilities:

Model Deployment:

  • Develop and maintain CI/CD pipelines for deploying machine learning models to production environments.

  • Work closely with DevOps and engineering teams to integrate models into applications and services.

  • Monitor and manage deployed models to ensure optimal performance, scalability, and reliability.

  • Automate the deployment process to minimize manual intervention and errors.

  • Perform hyperparameter tuning, model evaluation, and validation to ensure robust and efficient models.

  • Identify and resolve bottlenecks in model performance, optimizing for speed, accuracy, and resource utilization.

Model Development:

  • Design, develop, and optimize machine learning models tailored to solve specific business problems.

  • Collaborate with data scientists and domain experts to understand data, define features, and build models using tools such as TensorFlow, PyTorch, or Scikit-Learn.

  • Implement and test various machine learning algorithms, ensuring high accuracy, performance, and scalability.

Collaboration and Communication:

  • Collaborate with cross-functional teams, including data engineering and software development to ensure alignment and integration of machine learning models with business objectives.

  • Communicate model outcomes, limitations, and assumptions to stakeholders in a clear and concise manner.

Research and Innovation:

  • Stay updated with the latest advancements in machine learning, AI, and related technologies.

  • Experiment with new algorithms, tools, and frameworks to enhance the capabilities of our machine learning models.

Requirements:

  • Proven experience in developing and deploying machine learning models in production environments.

  • Proficiency in programming languages such as Python, R, or Java.

  • Experience with machine learning frameworks such as TensorFlow, PyTorch, Keras, or Scikit-Learn.

  • Strong understanding of MLOps/DevOps principles and experience with tools like Gitlab CI/CD, MLFlow, Docker, Kubernetes, or similar.

  • Familiarity with cloud platforms such as AWS, Google Cloud, or Azure, and experience in deploying models on these platforms.

  • Excellent problem-solving skills and the ability to work independently and collaboratively.

  • Strong communication skills and the ability to explain complex concepts to non-technical stakeholders.

Preferred Skills:

  • Knowledge of big data technologies like Hadoop, Spark, or similar.

  • Understanding of data preprocessing, feature engineering, and data visualization techniques.

  • Experience with version control systems like Git.

Required Skill Profession

Other General


  • Job Details

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Are You Looking for Associate Machine Learning Ops Engineer Job?

Great news! is currently hiring and seeking a Associate Machine Learning Ops Engineer to join their team. Feel free to download the job details.

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Ensign Infosecurity adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Singapore laws and regulations

What Is the Average Salary Range for Associate Machine Learning Ops Engineer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Singapore. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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Key qualifications for Associate Machine Learning Ops Engineer typically include Other General and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Associate Machine Learning Ops Engineer Job Success

Ensign Infosecurity interview tips for Associate Machine Learning Ops Engineer

Here are some tips to help you prepare for and ace your Associate Machine Learning Ops Engineer job interview:

Before the Interview:

Research: Learn about the Ensign Infosecurity's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

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Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

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Follow Up: Send a thank-you email to the interviewer within 24 hours.

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Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Associate Machine Learning Ops Engineer interview at Ensign Infosecurity, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Ensign Infosecurity's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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