Description :

Key Responsibilities :

- Assist in designing, developing, and implementing machine learning models using frameworks like TensorFlow, PyTorch, or Scikit-learn.

- Collaborate with data scientists and engineers to preprocess, clean, and analyze datasets for model training.

- Support the integration of AI models into production environments, including basic deployment on cloud platforms (e.g., AWS, GCP, or Azure).

- Conduct experiments, evaluate model performance, and iterate based on feedback to improve accuracy and efficiency.

- Document code, processes, and findings to ensure reproducibility and team knowledge sharing.

- Participate in code reviews, debugging, and optimization of AI pipelines.

- Stay updated on emerging AI trends and contribute ideas to internal projects.

Qualifications Required :

- Bachelor's degree in Computer Science, Data Science, Electrical Engineering, or a related field (or equivalent experience).

- Basic understanding of machine learning concepts (e.g., supervised/unsupervised learning, neural networks, regression/classification).

- Proficiency in Python programming; familiarity with libraries like NumPy, Pandas, and Matplotlib.

- Experience with at least one ML framework (e.g., TensorFlow, PyTorch, or Keras) through academic projects, internships, or personal initiatives.

- Strong problem-solving skills and a curiosity-driven mindset.

- Excellent communication skills, with the ability to work effectively in a team.