Junior AI/ML Engineer

Posted on

Experience
3 - 5 yrs
Job Location
Mumbai, India
Vacancy
1
Designation
Junior Machine Learning Engineer
Job Type
ONSITE

Job Description

Junior AI/ML Engineer with 3+ years of experience in machine learning, artificial intelligence, and data science. The ideal candidate will have hands-on experience in developing and optimizing AI/ML models, working with large datasets, and applying AI techniques to solve real-world business challenges. This role offers excellent opportunities for career growth and exposure to cutting-edge AI/ML technologies.
  • Develop, optimize, and deploy machine learning models to address business problems.
  • Perform data preprocessing, cleaning, and feature engineering to improve model accuracy.
  • Assist in model training, evaluation, and hyperparameter tuning for enhanced performance.
  • Conduct exploratory data analysis (EDA) and visualization to derive insights.
  • Write and maintain clean, scalable, and well-documented code for AI/ML solutions.
  • Work with cross-functional teams (data engineers, software developers, business analysts) to integrate ML models into applications.
  • Support data annotation and labeling efforts where required for supervised learning models.
  • Stay up-to-date with the latest AI/ML research and advancements, applying new techniques as needed.
  • Qualification / Experience:
    Bachelor s degree in a relevant field

    Responsibility:

    • Bachelor s or Master s degree in Computer Science, Engineering, Mathematics, or a related field.
    • 3+ years of hands-on experience in machine learning, deeplearning, or data science.
    • Proficiency in Python (or R) and strong experience with ML frameworks (TensorFlow, PyTorch, Keras, Scikit-learn, Ollama).
    • Experience in data wrangling, feature engineering, and working with large datasets.
    • Familiarity with cloud platforms (AWS, Google Cloud, or Azure) and their AI/ML services.
    • Strong knowledge of data structures, algorithms, linear algebra, and statistics.
    • Experience in MLOps, including model deployment and monitoring, is a plus.
    • Ability to work in a team environment, take ownership of tasks, and adapt to new challenges.

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