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Urgent! ML Ops Manager Job Opening In Tuam – Now Hiring Valeo
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.
✨ Smart • Intelligent • Private • Secure
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Unlock Your ML Ops Potential: Insight & Career Growth Guide
Real-time ML Ops Jobs Trends in Tuam, Ireland (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for ML Ops in Tuam, Ireland using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 66 jobs in Ireland and 1 jobs in Tuam. This comprehensive analysis highlights market share and opportunities for professionals in ML Ops roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Valeo 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: ML Ops Manager Jobs Tuam.
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:The average salary range for a ML Ops Manager Jobs Ireland 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.
Key qualifications for ML Ops Manager typically include Operations Specialties Managers and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
To improve your chances of getting hired for ML Ops Manager, consider enhancing your skills. Check your CV/Résumé Score with our free Resume Scoring 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.
Here are some tips to help you prepare for and ace your job interview:
Before the Interview: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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