Artificial Intelligence Engineer

AI EngineerMust Have Technical/Functional Skills• Strong programming skills in Python (mandatory)• Solid understanding of machine learning algorithms and statistics• Hands on experience with ML/DL frameworks (TensorFlow, PyTorch, Scikit learn)• Experience working with structured and unstructured data• Knowledge of SQL and data processing libraries (Pandas, NumPy)• Experience deploying models using APIs, Docker, and cloud platforms (AWS/Azure/GCP)• Familiarity with Git, CI/CD pipelines, and software engineering best practicesPreferred Skills (Good to Have)• Experience with Generative AI / LLMs (OpenAI, Azure OpenAI, Hugging Face)• Knowledge of MLOps tools (MLflow, Kubeflow, Airflow)• Experience with big data technologies (Spark, Databricks)• Exposure to computer vision or NLP use casesRoles & Responsibilities• Design, develop, and deploy machine learning and AI models for business applications• Build and optimize data pipelines for model training, validation, and inference• Implement algorithms using Python and ML/DL frameworks (TensorFlow, PyTorch, Scikit learn)• Integrate AI models into applications using REST APIs, microservices, or cloud services• Perform model evaluation, tuning, and performance optimization• Monitor models in production for accuracy, drift, and reliability• Collaborate with product managers, data scientists, and engineers to translate requirements into AI solutions• Implement MLOps practices including versioning, CI/CD, and automated deployments• Ensure adherence to Responsible AI, security, data privacy, and compliance standards• Document models, pipelines, and deployment procedures