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3 Nurix Jobs

ML Engineer

1-5 years

Bangalore / Bengaluru

1 vacancy

ML Engineer

Nurix

posted 10d ago

Job Role Insights

Key skills for the job

Job Description

  • We are seeking a highly skilled and motivated Machine Learning Engineer to join our dynamic team
  • The Machine Learning Engineer will be responsible for designing, developing, and deploying machine learning models to solve complex problems and enhance our products or services
  • The ideal candidate will have a strong background in machine learning algorithms, programming, and data analysis

  • Responsibilities:
    Problem Definition:Collaborate with cross-functional teams to define and understand business problems suitable for machine learning solutions
  • Translate business requirements into machine learning objectives
  • Data Exploration and Preparation:Analyze and preprocess large datasets to extract relevant features for model training
  • Address data quality issues and ensure data readiness for machine learning tasks
  • Model Development:Develop and implement machine learning models using state-of-the-art algorithms
  • Experiment with different models and approaches to achieve optimal performance
  • Training and Evaluation:Train machine learning models on diverse datasets and fine-tune hyperparameters
  • Evaluate model performance using appropriate metrics and iterate on improvements
  • Deployment:Deploy machine learning models into production environments
  • Collaborate with DevOps and IT teams to ensure smooth integration
  • Monitoring and Maintenance:Implement monitoring systems to track model performance in real-time
  • Regularly update and retrain models to adapt to evolving data patterns
  • Documentation:Document the entire machine learning development pipeline, from data preprocessing to model deployment
  • Create user guides and documentation for end-users and stakeholders
  • Collaboration:Collaborate with data scientists, software engineers, and domain experts to achieve project goals
  • Participate in cross-functional team meetings and knowledge-sharing sessions

Employment Type: Full Time, Permanent

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