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.