AI Engineer
Occupations:
Software DevelopersComputer Systems Engineers/ArchitectsData ScientistsData Warehousing SpecialistsDatabase ArchitectsIndustries:
Computing Infrastructure Providers, Data Processing, Web Hosting, and Related ServicesEducational Support ServicesBusiness Schools and Computer and Management TrainingComputer Systems Design and Related ServicesOther Professional, Scientific, and Technical ServicesAI EngineerMust Have Technical/Functional Skills Looking for an experienced AI Engineer (68 years) to design, develop, and deploy cutting-edge AI/ML solutions. The ideal candidate will have strong experience in machine learning, deep learning, data engineering, and building scalable AI systems for real-world applications. Responsibilities:• Build and optimize ML/Deep Learning models for NLP, CV, and predictive analytics.• Develop end to end AI pipelines including training, deployment, and monitoring.• Deploy models using Docker/Kubernetes and cloud platforms (Azure/AWS/GCP).• Work with large datasets and build data pipelines using Python, SQL, and Spark/Databricks.• Implement MLOps practices (CI/CD, model tracking, monitoring).• Collaborate with cross functional teams to translate business needs into AI solutions. Technical Skills• Programming Languages: Python (strong expertise), SQL• ML/DL Frameworks: TensorFlow, PyTorch, Scikit-learn• NLP/LLM Tools: Transformers, LangChain, OpenAI APIs• Cloud Platforms: Azure/AWS/GCP (at least one required)• MLOps: MLflow, Kubernetes, Docker, Git• Big Data Tools: Spark, Hive, Databricks (preferred) Experience• 46 years of experience in AI/ML engineering roles.• End-to-end experience from data preparation to model deployment.• Building scalable production grade AI solutions.