Join Computer House as a Software Engineer AI/ML, where you will develop and optimize advanced machine learning models to solve complex real-world problems. You will collaborate closely with cross-functional teams to design robust and scalable AI/ML solutions that support the companys technological growth. This role requires a strong foundation in machine learning algorithms, data preprocessing, and model deployment to create effective artificial intelligence systems. In this position, you focus on building and implementing innovative AI models, including deep learning networks and natural language processing applications. You will experiment with different learning approaches such as supervised, unsupervised, and reinforcement learning to enhance existing solutions and drive new features. Although this role does not involve managing a team, you play a crucial role in shaping the product direction and sharing technical expertise with peers.
Responsibilities

  • Design, build, and optimize machine learning models and algorithms to address complex challenges.
  • Preprocess and analyze large datasets to ensure data quality and readiness for modeling.
  • Deploy and maintain models in production environments to ensure reliability and scalability.
  • Conduct experiments to validate model performance using appropriate evaluation metrics.
  • Apply natural language processing techniques to develop language-based applications.
  • Implement supervised, unsupervised, and reinforcement learning methods as needed.
  • Utilize version control systems to track code changes and collaborate with development teams.
  • Collaborate with software engineers, data scientists, and product managers to integrate AI solutions.
  • Continuously research and stay updated with the latest trends and advancements in AI/ML.
  • Document methodologies, experiments, and results clearly for team knowledge sharing.

Job Details

Total Positions:
1 Post
Job Type:
Job Location:
Gender:
No Preference
Minimum Experience:
4 Years
Apply Before:
Jul 18, 2026
Posting Date:
Jun 17, 2026

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