Artificial Intelligence Engineer

Job Summary We are looking for a skilled AI Engineer with 6–7 years of experience to design, develop, and deploy scalable AI/ML solutions. The ideal candidate should have strong expertise in machine learning, deep learning, and real-world AI applications, along with experience in deploying models into production environments. Key Responsibilities Design and develop AI/ML models using structured and unstructured data Build and optimize machine learning algorithms and pipelines Work on deep learning frameworks for NLP, Computer Vision, or predictive analytics Deploy models into production using cloud platforms like AWS, Azure, or GCP Collaborate with data engineers and business teams to understand requirements Perform model evaluation, tuning, and performance optimization Work with large datasets and ensure data preprocessing and feature engineering Stay updated with the latest AI trends and technologies Required Skills & Technologies Strong programming skills in Python (mandatory) Experience with ML libraries: Scikit-learn, TensorFlow, PyTorch Knowledge of NLP, Computer Vision, or Generative AI Experience with LLMs (Large Language Models) and prompt engineering Familiarity with MLOps tools (MLflow, Kubeflow, Airflow) Experience in REST APIs and model deployment Strong understanding of statistics, probability, and data structures Cloud & Tools Experience with AWS / Azure / Google Cloud Platform (GCP) Hands-on with Docker, Kubernetes (good to have) Experience with Databricks, Snowflake is a plus