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Quanteon Solutions

AI / ML Engineer

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  • Posted 19 hours ago
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Job Description

Responsibilities

  • Develop and deploy machine learning, deep learning, and NLP models for various business use cases.
  • Build end-to-end ML pipelines including data preprocessing, feature engineering, training, evaluation, and production deployment.
  • Optimise model performance and ensure scalability in production environments.
  • Work closely with data scientists, product teams, and engineers to translate business requirements into AI solutions.
  • Conduct data analysis to identify trends and insights.
  • Implement MLOps practices for versioning, monitoring, and automating ML workflows.
  • Research and evaluate new AI/ML techniques, tools, and frameworks.
  • Document system architecture, model design, and development processes.

Requirements

  • Strong programming skills in Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, Keras).
  • Hands-on experience in building, deploying, and fine-tuning ML/DL models in production.
  • Good understanding of machine learning algorithms, neural networks, NLP, and computer vision.
  • Experience with REST APIs, Docker, Kubernetes, and cloud platforms (AWS/GCP/Azure).
  • Working knowledge of MLOps tools such as MLflow, Airflow, DVC, or Kubeflow.
  • Familiarity with data pipelines and big data technologies (Spark, Hadoop) is a plus.
  • Strong analytical skills and ability to work with large datasets.
  • Excellent communication and problem-solving abilities.
  • Experience in deploying models using cloud services (AWS Sagemaker, GCP Vertex AI, etc. ).
  • Experience in LLM fine-tuning or Generative AI, Voice AI, is an added advantage.

Educational Qualification

  • A bachelor's or master's degree in computer science, data science, AI, machine learning, or IT from a good college.

This job was posted by Durgaprasad Sannamuri from Quanteon Solutions.

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Job ID: 147224735

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