GLO AI-ML specialist
Core
Design, develop, train, evaluate, and deploy machine learning and generative AI models to solve real-world business problems, from predictive analytics to LLM-based applications.
Role type
Senior Machine Learning Engineer (Generative AI & MLOps)
Builds
Production-grade ML models, LLM applications, RAG solutions, and AI agents for enterprise clients.
Domain
Enterprise IT services, Edge-to-Cloud, Generative AI, Machine Learning
Deliverable
production ML models | product features
Required skills
Python, SQL, Machine Learning algorithms, Deep Learning (Transformers, CNNs, RNNs), Generative AI (LLMs, Prompt Engineering, RAG), MLOps (CI/CD, Model Monitoring), Cloud Platforms (Azure, AWS, GCP), Data Engineering (Pandas, NumPy, Spark)
Preferred skills
Experience with enterprise AI copilots and intelligent agents, Responsible AI frameworks, Statistical analysis, Transfer Learning
Technologies
TensorFlow, PyTorch, LangChain, Hugging Face, MLflow, Docker, Kubernetes, Airflow, Azure ML, AWS SageMaker, Databricks
Responsibilities
Formulate analytic objectives and define business rules; Build and validate predictive, classification, and optimization models; Develop and deploy LLM-based applications and RAG solutions; Implement MLOps pipelines for model lifecycle management; Create visualizations for model insights; Conduct statistical analysis and performance benchmarking.
Seniority
Senior, hands-on IC