Senior AI/ML Developer

2N Future Tech
Bristol
1 month ago
Applications closed

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Responsibilities:

  • Design, develop, and deploy AI/ML models and solutions, including LLMs and GenAI.
  • Perform feature engineering and selection to optimize model performance.
  • Select and implement appropriate AI/ML algorithms, including supervised, unsupervised, and reinforcement learning models.
  • Train, evaluate, and optimize models using machine learningand statistical techniques.
  • Conduct extensive data exploration, analysis, and preprocessing to ensure data quality for AI/ML applications.
  • Develop and apply data science methodologies to extract insights from large-scale structured and unstructured datasets.
  • Deploy models to production environments, ensuring robustness and scalability.
  • Monitor model performance and define strategies for identifying drift; retrain or refine models as needed.
  • Collaborate with cross-functional teams to integrate AI/ML models with business applications and systems.
  • Utilise predictive analytics, time series forecasting, and statistical models to drive business decision-making.
  • Stay updated on the latest advancements in AI/MLand data sciencetechnologies.
  • Lead and mentor junior team members.
  • Develop and maintain comprehensive documentation for AI/ML pipelines, data workflows, and analytical processes.

Qualifications:

  • 5+ years of experience in AI/ML developmentand data science.
  • Strong understanding of AI/ML algorithms and techniques, including LLMs, GenAI, and automated AI systems.
  • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch)and data science libraries (e.g., NumPy, pandas, scikit-learn).
  • Proficiency in Python, R, or other relevant programming languages.
  • Proficiency in working with large datasets, data wrangling, and data preprocessing.
  • Experience in data science, statistical modelling, and data analytics techniques.
  • Experience with data analysis and visualization tools (e.g., Matplotlib, Seaborn, Tableau).
  • Ability to work independently and lead projects from inception to deployment.
  • Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, GCP, Azure) is desirable.
  • MSc or PhD in Computer Science,Data Science,Artificial Intelligence, or related field is preferred.

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