AI Engineer

ioMosaic Corporation; Bath; On-site; GBP 45,000 - 70,000; Full time

Job summary

A dynamic organization in the AI sector is seeking an experienced AI Engineer to contribute to the development of cutting-edge AI solutions. The successful candidate will be responsible for designing, training, and optimizing advanced models, with a focus on scalability and reliability. Candidates should possess practical knowledge of AI frameworks and a problem-solving mindset. The role requires collaboration with various teams and offers a competitive salary within a thriving industry.

Qualifications

• Experience with AI frameworks and libraries.
• Strong knowledge of algorithms and mathematics.
• Ability to collaborate across teams.

Responsibilities

• Develop and optimize machine learning and deep learning models.
• Collaborate with data teams to prepare datasets.
• Deploy AI models to production and ensure their maintenance.

Skills

Machine Learning

Deep Learning

Data Engineering

NLP

Problem Solving

Communication

Adaptability

Education

Degree in Computer Science or related field

Tools

Python

TensorFlow

Git

Job description

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Job Description

At ioMosaic, we are seeking an experienced AI Engineer to work on developing and deploying advanced AI models, machine learning algorithms, and data-driven solutions. The ideal candidate will have hands-on experience with AI frameworks and be able to contribute to the end-to-end AI development lifecycle, from data preprocessing to model deployment.

Job Description

At ioMosaic, we are seeking an experienced AI Engineer to work on developing and deploying advanced AI models, machine learning algorithms, and data-driven solutions. The ideal candidate will have hands-on experience with AI frameworks and be able to contribute to the end-to-end AI development lifecycle, from data preprocessing to model deployment.

Duties And Responsibilities

• Develop AI Models: Design, train, and optimize machine learning and deep learning models using state-of-the-art techniques.
• Data Engineering: Collaborate with data teams to collect, clean, and prepare large datasets for model training and evaluation.
• Algorithm Optimization: Focus on improving model performance and accuracy through algorithm optimization, hyperparameter tuning, and testing.
• Deployment & Maintenance: Work on deploying AI models to production environments, ensuring scalability, reliability, and robustness.
• Collaboration: Collaborate with cross-functional teams including software engineers, data scientists, and product managers to integrate AI-driven features into products.
• Research: Stay up-to-date with the latest AI research and industry trends and apply innovative solutions to current problems.
• Documentation: Maintain clear and concise documentation for AI models, code, and processes to ensure efficient collaboration and reproducibility.
  
  

Preferred Skills

• Experience with NLP (Natural Language Processing), computer vision, or reinforcement learning.
• Mathematics & Algorithms: Strong knowledge of linear algebra, probability, statistics, and optimization techniques.
• Knowledge of MLOps, CI/CD pipelines, and automated testing for machine learning models.
• Version Control: Familiarity with version control tools such as DevOps/Git.
  
  

Soft Skills

• Problem Solving: Strong analytical and problem-solving skills, with the ability to think critically and design innovative AI solutions.
• Communication: Excellent written and verbal communication skills to effectively collaborate with both technical and non-technical teams.
• Adaptability: Willingness to learn and experiment with new AI techniques and technologies.
• Team Player: Ability to work effectively in a collaborative and cross-functional team environment.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Oil and Gas

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