Qureos

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senior AI/ML Engineer

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We are seeking a highly skilled AI/ML Engineer to design, develop, and deploy machine learning and deep learning solutions that drive innovation and business value. The ideal candidate will have hands-on experience with data preprocessing, model development, optimization, deployment, and monitoring in production environments.

You will work cross-functionally with data scientists, data engineers, and software developers to integrate AI-driven features into our products and services.

Key Responsibilities

Model Development & Implementation

  • Design, train, and optimize machine learning and deep learning models for predictive analytics, natural language processing, computer vision, or recommendation systems.
  • Perform feature engineering, data preprocessing, and exploratory data analysis (EDA).
  • Evaluate models using appropriate metrics and validation techniques.
  • Implement scalable ML pipelines and experiment tracking.

Deployment & MLOps

  • Build and maintain end-to-end ML pipelines, from data ingestion to model serving.
  • Deploy models into production using tools like Docker, Kubernetes, TensorFlow Serving, TorchServe, or MLflow.
  • Monitor model performance, perform drift detection, and retrain models as needed.
  • Collaborate with DevOps to ensure CI/CD for ML workflows.

Collaboration & Research

  • Partner with data scientists, software engineers, and product managers to identify opportunities for AI integration.
  • Stay up to date with emerging trends in AI, ML, and GenAI technologies.
  • Contribute to technical documentation, code reviews, and internal knowledge sharing.

Data Management

  • Work closely with data engineering teams to ensure clean, structured, and accessible datasets.
  • Apply techniques for data augmentation, dimensionality reduction, and data quality improvement.

Job Types: Full-time, Permanent

Pay: From ₹20,000.00 per month

Work Location: In person

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