Junior Software Engineer

SISA


Date: 1 week ago
City: Bengaluru, Karnataka
Contract type: Full time
Key Responsibilities

Model Development:

  • Design, develop, and train machine learning models using Python and relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn).
  • Collaborate with data scientists to preprocess and analyze data, ensuring high-quality inputs for model training.
  • Experiment with different algorithms and techniques to optimize model performance.
  • Implement and fine-tune models to solve real-world problems.

Model Deployment

  • Develop and implement strategies for deploying machine learning models in production environments.
  • Work with software engineers to integrate models into existing systems or build new applications as needed.
  • Utilize cloud platforms (e.g., AWS, Azure, Google Cloud) for scalable model deployment.
  • Ensure the deployed models are optimized for performance, scalability, and security.

Model Monitoring And Maintenance

  • Continuously monitor the performance of deployed models to detect and address issues such as drift, degradation, or anomalies.
  • Implement automated pipelines for model retraining, updating, and versioning.
  • Collaborate with DevOps teams to maintain and improve the infrastructure supporting model deployment and monitoring.
  • Generate reports and dashboards to track model performance metrics and provide insights to stakeholders.

Qualifications

Educational Background:

  • Bachelor’s or master’s degree in computer science, Data Science, Engineering, or a related field.

Technical Skills

  • Proficient in Python programming, with a strong understanding of libraries and frameworks such as TensorFlow, PyTorch, scikit-learn, and others.
  • Experience with data preprocessing, feature engineering, and model evaluation techniques.
  • Familiarity with cloud platforms (AWS, Azure, Google Cloud) and containerization technologies (Docker, Kubernetes) for model deployment.
  • Experience with monitoring tools and techniques to ensure model performance and reliability.

Experience

  • 2-4 years of experience working as a Machine Learning Engineer or in a related role.
  • Proven track record of developing, deploying, and monitoring machine learning models in a production environment.

Soft Skills

  • Strong problem-solving skills and the ability to work independently and as part of a team.
  • Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
  • Detail-oriented with a focus on delivering high-quality work.

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