Amazon Web Services (AWS), Apiary/Beekeeping, Application Programming Interface (API), Artificial Intelligence (AI), Big Data, Cloud Computing, Continuous Deployment/Delivery, Continuous Integration, Cross-Functional, Data Management, Data Modeling, Data Sets, Deep Learning, Docker, GCP (Good Clinical Practices), Git, Machine Learning, Microsoft Windows Azure, Natural Language Processing (NLP), Predictive Modeling, Programming Languages, Python Programming/Scripting Language, SQL (Structured Query Language), Scalable System Development
Must Have Technical/Functional Skills
Looking for an experienced AI Engineer (6 8 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
" 4 6 years of experience in AI/ML engineering roles.
" End-to-end experience from data preparation to model deployment.
" Building scalable production grade AI solutions.