Artificial Intelligence (AI) Engineer Devi Technologies

Devitechs; Birmingham; On-site; GBP 50,000 - 70,000; Full time

Job summary

A technology company in the UK is looking for a highly skilled AI Engineer to design and build advanced AI solutions. The ideal candidate will work closely with data scientists and engineers, developing machine learning algorithms and integrating AI capabilities into existing systems. Essential skills include experience with TensorFlow or PyTorch and strong knowledge of data processing and optimization techniques.

Qualifications

• Experience designing and implementing AI algorithms.
• Ability to build and train models using deep learning frameworks.
• Strong knowledge of data processing techniques.

Responsibilities

• Design and implement machine learning and AI algorithms.
• Build and train deep learning models.
• Integrate AI solutions into existing products.

Skills

Machine learning algorithms

Deep learning frameworks (TensorFlow or PyTorch)

Natural language processing (NLP)

Computer vision techniques

Data analysis

MLOps pipelines

Cloud AI services (AWS, Azure, Google Cloud)

Job description

Overview

We are seeking a highly skilled AI Engineer to design, build, and deploy advanced AI and machine learning solutions. The role involves developing predictive models, implementing deep learning architectures, and integrating AI capabilities into enterprise systems. You’ll work closely with data scientists, engineers, and business leaders to create intelligent systems that solve complex business problems.

Job Description

• ✔️ Design and implement machine learning and AI algorithms for enterprise applications.
• ✔️ Build and train deep learning models using TensorFlow or PyTorch.
• ✔️ Process and analyze large-scale structured and unstructured datasets.
• ✔️ Apply natural language processing (NLP) and computer vision techniques.
• ✔️ Integrate AI solutions into existing products and platforms.
• ✔️ Optimize model accuracy, efficiency, and scalability.
• ✔️ Research new AI frameworks, methodologies, and technologies.
• ✔️ Deploy and monitor models using MLOps pipelines.
• ✔️ Utilize cloud AI services from AWS, Azure, or Google Cloud.
• ✔️ Collaborate with cross-functional teams to define AI project goals.
• ✔️ Translate complex data insights into actionable business recommendations.
• ✔️ Perform feature engineering and data preprocessing.
• ✔️ Maintain clear documentation of models, datasets, and experiments.
• ✔️ Develop APIs for model integration with front-end systems.
• ✔️ Conduct peer code reviews and performance assessments.
• ✔️ Implement data governance and ethical AI practices.
• ✔️ Troubleshoot production issues related to AI services.
• ✔️ Present AI results and performance metrics to stakeholders.
• ✔️ Contribute to automation and optimization initiatives.
• ✔️ Mentor junior engineers and promote knowledge sharing across teams.