AI Engineer

3 weeks ago

Manchester, United Kingdom Tech Kinect Full time

As an AI Engineer Contractor, you will be responsible for designing, developing, and implementing AI algorithms and systems to solve complex business problems. You will work closely with cross-functional teams, including data scientists, software engineers, and domain experts, to understand project requirements, identify opportunities for applying AI techniques, and deliver high-quality solutions. Your expertise in AI technologies, machine learning, and programming will be crucial in driving the success of our AI initiatives.


Responsibilities:

  • Collaborate with stakeholders to understand project goals and requirements, and design AI solutions that align with business objectives.
  • Develop and implement AI algorithms, models, and systems to solve complex problems, leveraging techniques such as machine learning, natural language processing, computer vision, and knowledge representation.
  • Collect, preprocess, and analyze data from various sources to train and validate AI models.
  • Conduct exploratory data analysis and feature engineering to optimize model performance.
  • Train, validate, and fine-tune AI models using appropriate frameworks and libraries, such as TensorFlow, PyTorch, or scikit-learn.
  • Evaluate and compare the performance of different AI algorithms, selecting the most suitable approach for each project.
  • Collaborate with software engineers to integrate AI models and systems into production environments and ensure scalability and reliability.
  • Monitor and evaluate the performance of AI systems in real-world scenarios, and iterate on models and algorithms as necessary to improve their accuracy and effectiveness.
  • Stay up-to-date with the latest advancements in AI, machine learning, and related fields, and proactively identify opportunities for innovation and improvement within the organization.
  • Document code, methodologies, and findings to ensure knowledge sharing and maintain high-quality standards.


Qualifications:

  • Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or a related field.
  • Proven experience as an AI Engineer, Machine Learning Engineer, or similar role, with a strong track record of delivering successful AI projects.
  • Proficiency in AI technologies, including machine learning, natural language processing, computer vision, and knowledge representation.
  • Strong programming skills in languages such as Python, Java, or C++, and experience with AI frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
  • Solid understanding of data manipulation, modeling, and analysis techniques.
  • Familiarity with big data technologies and distributed computing frameworks (e.g., Hadoop, Spark) is a plus.
  • Experience with cloud platforms and services (e.g., AWS, Azure, GCP) for AI model deployment and management is advantageous.
  • Strong problem-solving abilities and attention to detail.
  • Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams.
  • Knowledge of software engineering principles and best practices is desirable.

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