Qualifications

• 1-3 years of experience in AI/ML engineering, data science, or related fields.
• Strong programming skills in Python, including frameworks like TensorFlow or PyTorch.
• Hands-on experience with large language models (LLMs), natural language processing (NLP), or modern AI technologies.
• Familiarity with cloud-based AI/ML services such as AWS Sagemaker or Azure ML.
• Solid understanding of data engineering concepts, including ETL pipelines.
• Ability to work in agile teams and rapidly prototype solutions.
• Bachelor's or Master's in Computer Science, Data Science, or a related discipline.

Responsibilities

• Build, train, evaluate, and deploy machine learning and generative AI models.
• Design and implement scalable pipelines for data preparation, model training, and inference.
• Develop APIs, services, and integrations that embed AI capabilities into business applications.
• Experiment with state-of-the-art AI frameworks and tools to deliver innovative solutions.
• Collaborate with product and engineering teams to identify and integrate AI features.
• Monitor model performance and continuously improve systems through retraining and fine-tuning.
• Contribute to documentation, knowledge sharing, and technical standards for AI adoption.

Benefits

• Opportunities for professional development and training.
• Engagement in cutting-edge AI technology projects.
• Collaboration with a high-skilled AI team.
• Flexible work arrangements.
• Access to modern tools and resources in AI engineering.