AI Engineer

Job Description
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 (Tensor Flow, PyTorch, Scikit learn)
" Experience working with structured and unstructured data
" Knowledge of SQL and data processing libraries (Pandas, Num Py)
" 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 (Tensor Flow, 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