Artificial Intelligence Engineer

1 day ago

Ahmedabad, Gujarat, India MYCPE ONE Full time ₹ 9,00,000 - ₹ 12,00,000 per year

We are seeking a
AI Engineer
with strong technical skills and a passion for building practical, impactful AI solutions. This role is ideal for professionals looking to contribute to cutting-edge AI projects in a flexible capacity. You will collaborate with senior AI architects and cross-functional teams to design, develop, and deploy scalable AI/ML models and tools that solve real-world business problems.

Key Responsibilities:

  • Develop and implement AI/ML models using frameworks such as
    PyTorch
    ,
    TensorFlow
    , or
    Keras
    .
  • Assist in building AI-enabled services, pipelines, and APIs for integration with enterprise systems.
  • Support data preprocessing, feature engineering, model training, and evaluation tasks.
  • Collaborate with data engineers, analysts, and stakeholders to gather requirements and iterate on model performance.
  • Document code, workflows, and AI solution designs for maintainability and reproducibility.
  • Contribute to proof-of-concept projects and help transition models into production using
    MLOps
    tools.
  • Stay updated with the latest AI trends, tools, and techniques.

Required Qualifications:

  • Graduates from premier institutions such as
    IITs
    ,
    BITS Pilani
    ,
    ISI Kolkata
    , or
    DA-IICT
    are strongly preferred.
  • Bachelor's or Master's degree in
    Computer Science
    ,
    Data Science
    , or a related field.
  • 2+ years of experience in machine learning or applied AI development.
  • Proficiency in
    Python
    and familiarity with core libraries like
    scikit-learn
    ,
    pandas
    ,
    NumPy
    , etc.
  • Hands-on experience with at least one deep learning framework (e.g.,
    PyTorch
    ,
    TensorFlow
    ).
  • Knowledge of NLP techniques, time series modeling, or computer vision is a plus.
  • Comfortable working with version control systems like
    Git
    and cloud-based environments (e.g., AWS, GCP, or Azure).

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