Qureos

Find The RightJob.

Responsibilities

  • Work with large and complex data sets to solve challenging business problems
  • Collect, clean, and preprocess large datasets for analysis & model training
  • Perform exploratory data analysis (EDA) to uncover insights and inform model development
  • Develop, train, and optimize machine learning models using state-of-the-art algorithms and frameworks
  • Build end-to-end ML pipelines, including data ingestion, transformation, model training, validation, and deployment
  • Automate workflows for model training, testing, and deployment using CI/CD pipelines and MLOps tools
  • Collaborate with cross-functional teams to integrate models into applications and deliver end-to-end solutions

Qualification

  • 5+ years of experience in data science, machine learning, or AI
  • Expertise in supervised/unsupervised learning, deep learning, NLP, computer vision, or generative AI (e.g., LLMs).
  • Strong proficiency in Python and/or R; familiarity with SQL for data querying
  • Ability to build data pipelines (Spark, Airflow, Hadoop) and work with big data tools
  • Understanding of model serving, API development (FastAPI, Flask), and optimizing model performance for real-time or batch inference.
  • Knowledge of Docker, Kubernetes, CI/CD pipelines, and tools like MLflow/Kubeflow for model lifecycle management (MLOps)
  • Experience deploying models on AWS, Google Cloud, Azure, or similar (e.g., Sagemaker, Vertex AI)
  • Educational qualifications: Bachelor’s degree in Computer Science, Engineering, or related field required

© 2026 Qureos. All rights reserved.