Senior Group Technical Manager

HCL Technologies; Bradford; On-site; GBP 45,000 - 70,000; Full time

Job summary

A global technology firm in Bradford is seeking an AI Engineer to design and develop advanced generative AI systems. The role includes developing algorithms, integrating AI solutions, and collaborating within multidisciplinary teams. Candidates should possess strong programming skills in Python or Java, experience with large language models, and a degree in a related field. This position offers the opportunity to work on cutting-edge AI technologies in a dynamic environment.

Qualifications

• A bachelor's or master's degree or equivalent in computer science, Artificial Intelligence, or related field.
• Experience with large language models (LLMs) and prompt engineering.
• Experience in designing and developing AI systems, including machine learning, deep learning, and neural networks.
• Strong programming skills in languages such as Python, R, or Java.
• Familiarity with AI libraries, frameworks, and tools such as TensorFlow, PyTorch, or Keras.
• Proven understanding of cloud computing platforms (e.g., AWS, Azure, Google Cloud) and experience deploying AI models on these platforms.
• Solid understanding of AI concepts, algorithms, and methodologies.
• Knowledge of designing large scale AI solutions, data integration, cleansing, and transformation techniques.
• Excellent problem-solving and analytical skills, with the ability to think creatively and provide innovative solutions.
• Strong communication and collaboration skills to work effectively in multidisciplinary teams.
• Knowledge of ethical AI practices and laws is a plus.

Responsibilities

• Design and develop the architecture and infrastructure for Gen AI systems.
• Develop and implement advanced AI algorithms and models.
• Identify relevant data sources and design methods for data collection.
• Train AI models using supervised, unsupervised, or reinforcement learning techniques.
• Design and optimize deep learning neural networks for various AI tasks.
• Collaborate with software developers to integrate AI systems into applications.
• Adhere to ethical AI practices and address biases associated with AI systems.
• Stay updated with the latest advancements in AI technologies.
• Collaborate with cross-functional teams to define AI requirements.

Skills

Large language models (LLMs)

Prompt engineering

Machine learning

Deep learning

Neural networks

Python

R

Java

TensorFlow

PyTorch

Keras

AWS

Azure

Google Cloud

Problem-solving

Analytical skills

Communication

Collaboration

Education

Bachelor's or master's degree in computer science or related field

Tools

TensorFlow

PyTorch

Keras

NVIDIA CUDA

cuDNN

TensorRT

Job description

Job Family

Architecture / Design

No. of Positions

1

Job Title

AI Engineer

Job Description

We are seeking a highly skilled Generative AI Architect to join our dynamic team and drive the development of advanced AI systems that have capabilities to learn, reason and make decisions autonomously.

Key Responsibilities

• AI Systems Architecture: Design and develop the architecture and infrastructure for Gen AI systems, including mechanisms for data storage, processing, and retrieval. Ensure the system's scalability, flexibility, and efficiency to handle large algorithms.
• Algorithm Development: Develop and implement advanced AI algorithms and models, including machine learning, deep learning, and neural networks. Continuously evaluate and improve these algorithms to enhance system performance and accuracy.
• Data Integration: Identify relevant data sources and design methods for data collection, integration, cleansing, and transformation. Collaborate with data scientists and engineers to ensure the quality and relevance of data for AI model training.
• Model Training and Evaluation: Train AI models using supervised, unsupervised, or reinforcement learning techniques. Implement evaluation methodologies to measure the performance and effectiveness of trained models. Fine-tune models based on feedback and data insights.
• Neural Network Design: Design and optimize deep learning neural networks for various AI tasks, such as natural language processing, computer vision, recommendation systems, and predictive analytics. Implement innovative architectures and techniques to improve model accuracy and efficiency.
• System Integration: Collaborate with software developers and engineers to integrate AI systems into existing platforms or applications. Ensure seamless communication and compatibility between AI components and other software modules.
• Ethical and Responsible AI: Adhere to ethical AI practices, such as fairness, transparency, and accountability. Address biases and potential risks associated with AI systems to ensure responsible deployment and usage.
• Research and Innovation: Stay updated with the latest advancements in AI technologies, frameworks, and algorithms. Conduct research and experimentation to explore innovative approaches and techniques that can enhance AI capabilities.
• Teamwork and Communication: Collaborate with cross-functional teams, including data scientists, software engineers, and business stakeholders, to define AI requirements and deliver AI solutions that meet business objectives. Communicate complex AI concepts and solutions effectively to both technical and non-technical audiences.

Mandatory Qualifications / Skills

• A bachelor's or master's degree or equivalent in computer science, Artificial Intelligence, or related field.
• Experience with large language models (LLMs) and prompt engineering.
• Experience in designing and developing AI systems, including machine learning, deep learning, and neural networks.
• Strong programming skills in languages such as Python, R, or Java.
• Familiarity with AI libraries, frameworks, and tools such as TensorFlow, PyTorch, or Keras.
• Proven understanding of cloud computing platforms (e.g., AWS, Azure, Google Cloud) and experience deploying AI models on these platforms.
• Solid understanding of AI concepts, algorithms, and methodologies.
• Knowledge of designing large scale AI solutions, data integration, cleansing, and transformation techniques.
• Excellent problem-solving and analytical skills, with the ability to think creatively and provide innovative solutions.
• Strong communication and collaboration skills to work effectively in multidisciplinary teams.
• Knowledge of ethical AI practices and laws is a plus.

Preferred Skills

• Knowledge of NVIDIA CUDA, cuDNN, TensorRT.

Location

Bradford