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Data Scientist

CAMP Systems
Posted on
CAMP Systems logo

Experience
4 - 7 yrs
Job Location
Not specified
Vacancy
1
Designation
Data Scientist
Job Type
ONSITE

Job Description

  • Clean, prepare, and explore data to find trends and patterns
  • Build, validate, and implement AI/ML models
  • Extensively document all aspects of the work including data analysis, model development, results
  • Collaborate with other team members teams to incorporate AI/ML models into software applications
  • Stay updated with the latest advancements in AI/ML domain and incorporate into day-to-day work

Requirements

  • 3-7 years of experience in AI/ML related work
  • Extensive experience in Python
  • Familiarity with Statistical models such as Linear/Logistic regression, Bayesian Models, Classification/Clustering models, Time Series analysis
  • Experience with deep learning models such as CNNs, RNNs, LSTM, Transformers
  • Experience with machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, Keras
  • Experience with GenAI, LLMs, RAG architecture would be a plus
  • Familiarity with cloud services such as AWS, Azure
  • Familiarity with version control systems (e.g., Git), JIRA, Confluence
  • Familiarity with MLOPs concepts, AI/ML pipeline tooling such as Kedro
  • Knowledge of CI/CD pipelines and DevOps practices
  • Experience delivering customer facing AI Solutions delivered as SaaS would be a plus
  • Bachelors degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
  • Strong problem-solving skills and attention to detail
  • Excellent verbal and written communication and teamwork skills

Benefits

  • Competitive salary and benefits package
  • Opportunity to work on cutting-edge technologies and innovative projects
  • Collaborative and inclusive work environment
  • Professional development and growth opportunities
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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