Junior AI Engineer

Who We Are

Job Title

Job Type

Experience

Location

Responsibilities

• Hands-on experience with AI/ML development or projects (internships or academic projects).
• Strong understanding of machine learning concepts (supervised, unsupervised, deep learning).
• Hands-on experience with Python and libraries such as TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy.
• Familiarity with data preprocessing, feature engineering, and model evaluation techniques.
• Basic understanding of cloud services (AWS, Azure, GCP) and APIs for AI model deployment.
• Knowledge of SQL and working with structured/unstructured data.
• Knowledge on LLMs, generative AI, or MLOps tools (e.g., MLflow, Kubeflow).
• Knowledge of RESTful APIs and model deployment pipelines.
• Familiarity with Git, Docker, or CI/CD workflows.
• Design, develop, and implement AI/ML models and algorithms for business applications.
• Work with large datasets to clean, preprocess, and prepare data for modeling.
• Experiment with deep learning frameworks and optimize models for accuracy and performance.
• Collaborate with data scientists, software engineers, and product teams to integrate AI solutions into production.
• Research and prototype new machine learning approaches or tools.
• Assist in monitoring, testing, and maintaining deployed AI systems.
• Document development processes, model results, and technical solutions.
  

Qualification

• Bachelor's degree or equivalent combination of education and experience.