AI Engineer

Responsibilities

• Develop and deploy AI/ML and Generative AI solutions.
• Build and maintain data pipelines and MLOps workflows.
• Support CI/CD automation and model deployment processes.
• Assist in managing AI infrastructure and cloud environments.
• Monitor model performance, security, and system reliability.

Requirements

• Bachelor's Degree in Computer Science, Informatics, Data Science, or related field.
• Fresh graduates are welcome to apply; up to 2 years of relevant experience is a plus.
• Basic understanding of Machine Learning and Deep Learning concepts.
• Familiarity with Generative AI, LLM, and RAG concepts. Knowledge of Python, SQL, and API Development.
• Exposure to Data Engineering tools such as ETL/ELT, Spark, Kafka, or Airflow is a plus.
• Familiarity with MLOps, CI/CD, Docker, and Kubernetes.
• Understanding of Model Deployment and Monitoring concepts.
• Knowledge of FastAPI, REST API, Microservices, and Vector Databases is a plus.
• Strong analytical thinking, problem-solving, and willingness to learn new technologies.

Skills: Machine Learning, Data Pipeline, Redis, Data Mining, Python, Neural Network, Data Engineering, SQL, Artificial Intelligence, Deep Learning, Computer Vision, Natural Language Processing (NLP), Pattern Recognition, Kafka