Find Machine learning software development engineer, ai ops integration Jobs in Coolock, D

AI/ML Computational Science
Accenture —Dublin, County Dublin
- Full-time
- Doctoral degree
- Computer Science
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1d
Director, Software Engineering
Mastercard —Dublin, County Dublin
- Full-time
- Computer Science
- Bachelor's degree
- No degree
2d
Commercial Operations Engineer
Grandstand —Dublin, County Dublin
- AI
- Communication skills
- Gym membership
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3d
ASIC Digital Verification Architect
Synopsys —Dublin, County Dublin
- Leadership
- Communication skills
Applications Engineering, Manager
Synopsys —Dublin, County Dublin
- Master's degree
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- In-person
3d
Customer Success Manager
Pluralsight —Dublin, County Dublin
- Full-time
- In-person
- Annual leave
Data Engineer
Grouper —Dublin, County Dublin
- Full-time
- Hybrid work
- Azure
- Computer Science
- SQL
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AI/ML Computational Science

Accenture -
Dublin, County Dublin

Apply Now

Job details

Full-time
1 day ago

Qualifications

TensorFlow
Law
Doctoral degree
Computer Science
R
Java
Master's degree
SQL
C++
Bachelor's degree
Distributed systems
Cloud computing
AI
Communication skills
Python

Full job description

YOU ARE

As an AI/ML Computational Scientist, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients, combining custom models with cloud and third-party AI services to deliver production-ready outcomes. Your spans the full solution lifecycle — assessing client needs and data, selecting and customizing models (including Deep Learning, Generative AI, and Large Language Models), designing scalable data and MLOps/LLMOps pipelines for training and production, and ensuring quality, value, and reliability of deployed systems.

THE WORK

Formulate real-world problems into practical, efficient, and scalable AI and Machine Learning solutions
Develop and implement machine learning algorithms, models, and computational systems; design and build scalable data pipelines to support model training and production with DevOps & MLOps
Customize and apply Deep Learning and Gen AI models for various use cases based on the business needs, data availability, system and infrastructure requirements - including edge device and HPC
Engage in research and development of new AI and high-performance compute algorithms, models, and simulations along with their applications to solve complex business problems at client sites
Work with large-scale datasets and utilize data preprocessing techniques to ensure high-quality input for training and production
Implement and maintain efficient data storage and retrieval mechanisms for models and knowledge using appropriate tools
Justify the value of model approaches in business problems
Collaborate with teams from both business and technical sides, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project goals and integrate into production

Job Qualifications

EDUCATION

- Bachelor's Degree or equivalent

BASIC (REQUIRED) QUALIFICATION

Proven experience as a machine learning engineer or scientist, deploying models in production at scale , including monitoring, alerting, automatic bug filing and auditing.
Considerable experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming
experience in distributed computing systems and architecture that may include big data, high-performance compute, engineering simulations, scientific compute, grid and cloud computing, distributed networks
experience in building and deploying AI/ML based software to a cloud environment.

PREFERRED QUALIFICATION

Proficiency in Python and python-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch)..
Experience working with language models like LLM's APIs and optimizing their usage for specific applications.
Experience with the following programming languages: Python, C++, Java, R, SQL
Strong written & verbal communication skills and ability to communicate complex technical concepts to non-technical stakeholders
Strong client-facing skillsets in a consulting environment
Strong cross-functional skills with the ability to collaborate with a variety of internal and client-side teams
Entrepreneurial mindset with a curiosity and passion for emergent tech and driving innovation
MS or PhD in related field preferred (computer science, engineering, etc.)

Apply Now

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machine learning software development engineer, ai ops integration jobs in coolock, d

AI/ML Computational Science

Director, Software Engineering

Commercial Operations Engineer

ASIC Digital Verification Architect

Applications Engineering, Manager

Customer Success Manager

Data Engineer

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