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Senior AI Engineer - Machine Learning / Deep Learning Models

Senior AI Engineer - Machine Learning / Deep Learning Models

NS Global CorporationHyderabad
25 days ago
Job description

We are looking for a highly motivated and passionate Senior AI Engineer who thrives on solving complex problems using cutting-edge AI / ML technologies. In this role, you will design, develop, and deploy scalable AI / ML solutions that directly impact real-world applications. You will collaborate closely with data scientists, software developers, and product managers to bring AI-driven innovation into production environments.

Key Responsibilities :

  • Design, build, train, and deploy machine learning (ML) and deep learning (DL) models for production use cases.
  • Perform data preprocessing, feature engineering, and exploratory data analysis (EDA) to ensure clean, high-quality input data for models.
  • Collaborate with cross-functional teams (Data Science, Development, Product, Business) to identify opportunities where AI can deliver business impact.
  • Integrate AI / ML models into production pipelines, APIs, and enterprise applications ensuring scalability, robustness, and performance.
  • Evaluate and optimize models for accuracy, efficiency, and cost-effectiveness.
  • Keep up-to-date with the latest advancements in AI / ML frameworks, research papers, and tools, and recommend their adoption where relevant.
  • Contribute to setting best practices, coding standards, and model governance in the AI / ML team.

Required Skills & Qualifications :

  • Strong expertise in Python and experience with major ML / DL frameworks TensorFlow, PyTorch, Scikit-learn.
  • Proficiency with data handling & manipulation libraries Pandas, NumPy.
  • Solid understanding of data structures, algorithms, and problem-solving techniques.
  • Minimum 3+ years of hands-on experience in designing and deploying AI / ML solutions.
  • Knowledge or project experience in at least one specialized area such as :
  • 1. Natural Language Processing (NLP)

    2. Computer Vision

    3. Recommendation Systems

  • Strong analytical skills and ability to convert business requirements into technical AI solutions.
  • Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or related field.
  • Good to Have (Optional Skills) :

  • Experience with MLOps tools (MLflow, Kubeflow, Airflow, Docker, Kubernetes).
  • Familiarity with cloud platforms (AWS, GCP, Azure) and their AI / ML services.
  • Contributions to open-source projects, publications, or Kaggle competitions.
  • (ref : hirist.tech)

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