Junior AI/ML Engineer

Sakash Group

3 - 8 years

8 - 12 Lacs

mumbai navi mumbai

Posted:21 hours ago| Platform:

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Skills Required

computer science data analysis data science business analyst artificial intelligence machine learning data structures hr monitoring python

Work Mode

Work from Office

Job Type

Full Time

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

Bachelors 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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