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

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