AI Engineer - Machine Learning

Description :

Responsibilities :

- Assist in designing, developing, and deploying machine learning and AI models.

- Work with large datasets for data cleaning, preprocessing, and feature engineering.

- Implement ML algorithms using Python and relevant libraries.

- Support model training, testing, and performance evaluation.

- Collaborate with senior engineers to integrate AI models into applications/APIs.

- Perform basic data analysis and visualization to derive insights.

- Participate in code reviews, documentation, and knowledge-sharing sessions.

- Stay updated with the latest trends in AI, ML, and generative AI.

Requirements :

- Bachelor's degree in computer science, AI, data science, or a related field.

- Strong foundation in Python programming.

- Basic understanding of machine learning concepts (supervised and unsupervised learning).

- Familiarity with ML libraries : NumPy, Pandas, and Scikit-learn.

- Basic knowledge of deep learning frameworks such as TensorFlow or PyTorch.

- Understanding of data structures, algorithms, and statistics.

- Good problem-solving and analytical skills.

- Willingness to learn and adapt in a fast-paced environment.

Good to Have (Preferred Skills) :

- Exposure to NLP, computer vision, or generative AI.

- Experience with Jupyter Notebook / Google Colab.

- Basic understanding of SQL / NoSQL databases.

- Knowledge of REST APIs and model deployment concepts.

- Familiarity with Git/GitHub.

- Internships or academic projects related to AI/ML.