Find Process science shift team lead Jobs

Senior AI Engineer
Sonatus —Dublin, County Dublin
- Hybrid work
- Azure
- Doctoral degree
- Computer Science
Quick apply
Manager, Architecture & Components
Bristol-Myers Squibb —Dublin, County Dublin
- Full-time
- Microsoft Excel
- Azure
- Computer Science
2d
Architect - Automation N 4D
Genpact Ireland Private Limited —Dublin, County Dublin
- Full-time
- Hybrid work
- Computer Science
- English
- Master's degree
Quick apply
2d

Other jobs to consider

Find your next job by exploring related positions.

Technical Writer, Selling Partner Developer Services
Amazon Ireland Support Services Limited - A94 —Remote
Experience using and following a style guide. Proactively identify needed process improvements, documentation design improvements, and roadblocks to content…
Module Process Engineer
Intel —Leixlip, County Kildare
A relevant Bachelor's, Master's, or equivalent qualification in Engineering or Science discipline, such as Chemical Engineering, Mechanical Engineering,…
€49,300–€77,000 a year

I want to receive the latest job alerts for process science shift team lead

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Explore jobs in more locations

process science shift team lead jobs near

Ai Developer jobs in Dublin, County Dublin

Automation Architect jobs in Dublin, County Dublin

Ai Developer jobs in County Dublin

Store Manager, Aldi jobs in Limerick, County Limerick

Hr Manager jobs in Galway, County Galway

Clinical Nurse Manager jobs in County Dublin

Hospitality Manager jobs in Dublin, County Dublin

Technical Architect jobs in Dublin, County Dublin

Landscape Architect jobs in Dublin, County Dublin

Senior AI Engineer

Sonatus
Dublin, County Dublin

Quick apply

Job details

Qualifications

TensorFlow
Azure
Go
Law
Doctoral degree
Computer Science
Kubernetes
Java
Master's degree
AWS
C++
Docker
Bachelor's degree
Software development
AI
Communication skills
Python

Full job description

At Sonatus, we're driving the transformation to AI-enabled software-defined vehicles. Traditional automotive software methods can't keep pace with consumer expectations shaped by the mobile industry—where features evolve rapidly, update seamlessly, and improve continuously. That's why leading OEMs trust Sonatus to accelerate this shift. Our technology is already in production across more than 8 million vehicles on the road today and rapidly expanding.

Headquartered in Sunnyvale, CA, with 250+ employees worldwide, Sonatus combines the agility of a fast-growing company with the scale and impact of an established partner. Backed by strong funding and proven by global deployment, we're solving some of the most interesting and complex challenges in the industry. Join us and help redefine what's possible as we shape the future of mobility.

We are seeking a highly motivated AI Engineer to join our team and help us accelerate software innovations for next-generation software-defined vehicles. In this role, you will be responsible for high-quality implementation of an Agentic Framework to support our AI applications. You will be responsible for writing the production-grade code that allows our AI applications to interact with millions of vehicles in real-time. We need a "builder" who thrives on the technical details of multi-agent orchestration, tool-calling optimization, and LLM security. You will translate architectural designs into executable, high-performance systems, taking full ownership of the development lifecycle from local prototyping to global cloud deployment. This is a hands-on role for an engineer who prioritizes execution, code quality, and system reliability for multi-agent systems, AI technologies and platforms.

This is a hybrid role based in our Dublin, IE office, where you will be expected to work in our office 3 days a week.

Duties and Responsibilities

Lead efforts to leverage existing AI models and frameworks to solve complex business challenges.
Develop agentic orchestration by designing and implementing reason and act loops that allow AI agents to decompose complex goals into actionable sub-tasks.
Design and implement a versioned prompt registry allowing for model-agnostic routing and A/B testing of system prompts
Engineer the privacy shield for PII redaction and the hallucination verifier to audit AI-generated actions before execution
Conduct the full cycle of data modeling and algorithm development, including modeling, training, tuning, validating, deploying, and maintaining services, (AI breadth).
Strong domain expertise in the AI area including LLM, Time Series, RAG, fine-tune large models, traditional ML models, etc. (AI depth)
Stay current with industry trends and advancements in data science and AI technologies. (State-of-the-Art)
Perform data analysis and offer insights to inform business decisions across multiple domains.
Adhere to data privacy and security protocols to uphold the confidentiality of sensitive information.
Collaborate with cross-functional teams to understand requirements and translate them into effective AI and data science solutions.
Document and communicate technical designs, processes, and best practices to stakeholders using visualizations and presentations.
Take charge of projects, ensuring timely completion in a dynamic work environment.

Qualifications and Experience

Master's or PhD in Computer Science, Engineering, Mathematics, Applied Sciences, or a related field preferred. Bachelor's degree required.
Strong programming skills in languages such as Golang, Python, Java, or C++, with hands-on experience in relevant frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
Proven experience building multi-agent systems and frameworks with adaptive orchestration
Deep understanding of Jailbreak Detection (e.g., LlamaGuard) and PII masking techniques to ensure safe LLM interactions in regulated environments
In-depth knowledge and understanding of current machine learning algorithms, AI technologies, and platforms.
Solid experience in data preprocessing, feature engineering, and model evaluation techniques.
Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus.
Strong knowledge of software development best practices, version control systems, and agile methodologies.
Results-driven with a positive can-do attitude and excellent problem-solving skills.
Exceptional verbal and written communication skills, with the ability to collaborate effectively with cross-functional teams.
Experience in the automotive industry is highly desirable.

Quick apply

Refine Your Search

process science shift team lead jobs

Senior AI Engineer

Manager, Architecture & Components

Architect - Automation N 4D

Other jobs to consider

I want to receive the latest job alerts for process science shift team lead

Related Searches

Explore jobs in more locations

Duties and Responsibilities

Qualifications and Experience

Jobseeker tools

Employer Tools

Browse

Stay Connected