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ML Ops Manager Job Opening In Tuam – Now Hiring Valeo


Job description

Valeo is a tech global company, designing breakthrough solutions to reinvent the mobility.

We are an automotive supplier partner to automakers and new mobility actors worldwide.

Our vision?

Invent a greener and more secured mobility, thanks to solutions focusing on intuitive driving and reducing CO2 emissions.

We are leader on our businesses, and recognized as one of the largest global innovative companies.

Our Mission:

Valeo is an automotive supplier and partner to automakers worldwide.

As a technology  company, we design innovative solutions for smart mobility, with a particular focus on  safer driving and reducing CO2 emissions.

Our mission is to deliver market-leading perception solutions for ADAS driving and parking functions.

Through our state-of-the-art, data-driven approach, we harness the expertise of Valeo's global community to provide safe, reliable, and innovative perception solutions. 

We aim to develop and deliver a modular, scalable, and hardware-agnostic full perception stack, utilising Valeo's technology leadership in sensing and ADAS computing platforms.
 

Your Mission:

  • Lead the MLOps team globally.

  • Develop end-to-end (Data/Dev/ML) Ops pipelines based on in-depth understanding of cloud/on-premise platforms, AI lifecycle, and business requirements.

  • Take AI out of the lab and into everyday life on the road for multi-sensor ADAS and Autonomous Driving perception applications.

Your Responsibilities:

  • Co-ordinate a dedicated global team of software engineers to develop and manage MLOps tools that help automate and improve our deep learning software development and model building practices.

  • MLOps Strategy: Develop and implement MLOps strategies, roadmaps, best practices, and standards to enhance AI ML model deployment and monitoring.

  • Infrastructure Management: Oversee the design, deployment, and management of scalable and reliable infrastructure for model training and deployment, both on-premise and on the cloud.

  • Monitoring and Optimization: Create and maintain robust monitoring systems to track model performance, data quality, and infrastructure health.

  • Automation: Develop and maintain automated pipelines for model training, testing, and deployment, optimizing for speed and reliability.

    Ensure CI-CD best practices.

  • Internal Collaboration: Collaborate closely with data scientists, ML engineers, and SW engineers to support smooth integration of ML models into production systems.

  • Stakeholder Engagement and Collaboration: Collaborate closely with business and PM stakeholders in roadmap planning and implementation efforts and ensure technical milestones align with business requirements.

Education/Training:

  • Degree in Software Engineering or equivalent.

  • Minimum of 3 years relevant experience in AI / MLOps engineering.

  • Strong knowledge of machine learning concepts, algorithms, and tools.

  • Experience with data preparation and management tools.

  • Expertise with cloud computing platforms such as AWS, GCP, or Azure.

  • Excellent analysis & trouble-shooting skills using a structured documented approach.

  • Excellent communication skills, both written and verbal.

  • Strong experience in capitalising knowledge & best practices through creation and/or updating of standards.

  • Strong experience in managing, training and mentoring team members.

  • Confident, articulate, self-motivated, determined & energetic.

  • Self-starter, motivated individual who can work fully autonomously.

Required Skill Profession

Operations Specialties Managers


  • Job Details

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Unlock Your ML Ops Potential: Insight & Career Growth Guide


Real-time ML Ops Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for ML Ops in Tuam, Ireland, highlighting market share and opportunities for professionals in ML Ops roles.

69 Jobs in Ireland
69
1 Jobs in Tuam
1
Download Ml Ops Jobs Trends in Tuam and Ireland

Are You Looking for ML Ops Manager Job?

Great news! is currently hiring and seeking a ML Ops Manager to join their team. Feel free to download the job details.

Wait no longer! Are you also interested in exploring similar jobs? Search now: .

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 Valeo 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 Ireland laws and regulations

What Is the Average Salary Range for ML Ops Manager Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Tuam. 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.

What Are the Key Qualifications for ML Ops Manager?

Key qualifications for ML Ops Manager typically include Operations Specialties Managers 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.

How Can I Improve My Chances of Getting Hired for ML Ops Manager?

To improve your chances of getting hired for ML Ops Manager, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

Interview Tips for ML Ops Manager Job Success

Valeo interview tips for ML Ops Manager

Here are some tips to help you prepare for and ace your ML Ops Manager job interview:

Before the Interview:

Research: Learn about the Valeo'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.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

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

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

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

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your ML Ops Manager interview at Valeo, 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 Valeo'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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