What are the responsibilities and job description for the Data Scientist position at Spirent Communications?
Job Responsibilities
Develop and optimize RAG-based systems to improve information retrieval and decision-making processes.
Apply transformers and deep learning models to extract insights from large and complex datasets.
Implement anomaly detection algorithms to identify unusual patterns and potential issues in telecom and other datasets.
Design and deploy scalable AI / ML solutions that address real-world business challenges.
Collaborate with cross-functional teams, including data engineers, software developers, and domain experts, to integrate ML solutions into production environments.
Stay up to date with the latest advancements in AI / ML and apply them to enhance model performance.
Communicate findings and recommendations effectively to both technical and non-technical stakeholders.
Job Requirements
Required Qualifications
Bachelor’s Degree in Computer Science, Data Science, AI / ML, or a related field from an accredited institution or equivalent work experience
Minimum of 8 years of relevant work experience
Strong experience in machine learning, deep learning, and AI frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn)
Hands-on experience with RAG systems, transformers, and NLP models
Expertise in anomaly detection techniques, including statistical and ML-based approaches
Strong background in data preprocessing, feature engineering, and model evaluation
Fine-tuning experience with large datasets
Excellent problem-solving and analytical skills
Preferred Qualifications
Advanced degree (MS / PhD)
Familiarity with graph databases and knowledge of graphs for information retrieval
Contributions to research publications, open-source projects, or AI / ML communities
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