Job Description :

Key Responsibilities:

  • Develop, test, and deploy machine learning models and AI solutions for a variety of applications, including predictive analytics, computer vision, natural language processing, etc.
  • Collaborate with cross-functional teams to define project requirements and objectives.
  • Preprocess and clean large datasets to ensure they are suitable for model training.
  • Research and apply state-of-the-art machine learning algorithms, such as deep learning, reinforcement learning, or unsupervised learning, to improve model accuracy and efficiency.
  • Optimize machine learning models for scalability and performance in production environments.
  • Continuously monitor and improve the performance of deployed models based on feedback and new data.
  • Provide insights from machine learning experiments to influence product decisions and business strategies.
  • Write clean, efficient, and well-documented code to facilitate collaboration and model deployment.
  • Stay up to date with advancements in AI and machine learning research to keep the organization at the cutting edge.

    Preferred Skills:

    • Experience with AI-powered applications such as recommendation systems, autonomous systems, or generative models.
    • Knowledge of containerization and orchestration technologies (e.g., Docker, Kubernetes).
    • Familiarity with big data processing tools such as Hadoop, Spark, or similar.
  • Provide insights from machine learning experiments to influence product decisions and business strategies.
  • Write clean, efficient, and well-documented code to facilitate collaboration and model deployment.
  • Stay up to date with advancements in AI and machine learning research to keep the organization at the cutting edge.
             

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