AI Engineer
Must 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 practices
Preferred 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 cases
Roles & 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
