Machine Learning

14 hours ago

Pacific Remote Islands Marine National Monument, India Tanuj Agarwal Full time

A machine learning (ML) job involves designing, building, and deploying AI systems that learn from data to make predictions and automate tasks. Key responsibilities include data preprocessing, statistical analysis, developing and training ML models, implementing algorithms, testing and evaluating performance, and collaborating with data scientists and software engineers. The goal is to create efficient, scalable, and self-improving AI solutions for various business applications. Key Responsibilities:

  • Data Management:Collect, clean, preprocess, and analyze large datasets to identify patterns and prepare them for model training.
  • Model Development:Design, develop, and implement machine learning algorithms and models, including neural networks, for specific tasks like classification, prediction, and forecasting.
  • Training and Optimization:Train and retrain models, using test results to evaluate their performance and optimize them for higher accuracy and efficiency.
  • System Design:Create and scale data and model pipelines, design and build AI systems, and integrate them into real-world applications.
  • Testing & Evaluation:Conduct experiments and tests on AI systems, evaluate model performance, and identify issues or areas for improvement.
  • Collaboration:Work with data scientists, data engineers, and business teams to understand requirements, translate them into ML solutions, and ensure models are integrated into workflows.
  • Continuous Improvement:Stay updated on the latest advancements in machine learning, explore new techniques, and continuously improve existing models and frameworks.

Essential Skills & Tools:

  • Programming:Proficiency in programming languages like Python or R is crucial.
  • ML Frameworks:Experience with machine learning frameworks such as TensorFlow or PyTorch is often required.
  • Data Science & Statistics:Strong understanding of statistical analysis and data science principles to drive decisions and optimize models.
  • Big Data Technologies:Familiarity with big data tools and technologies for handling large datasets.
  • Problem-Solving:Ability to analyze complex problems and develop innovative, data-driven solutions.

Job Type: Full-time

Pay: ₹471, ₹1,787,189.77 per year

Work Location: Remote

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