AI - ML Engineer (Contract)
Privaloma:PythonAzureDockerKubernetesCloudFullstackCI/CDAI
Must-Have Skills
- Strong programming expertise in Python and PySpark
- Hands-on experience with LLMs, RAG, Agentic AI, and Generative AI application development
- Strong experience with Azure OpenAI Service and Azure AI ecosystem
- Experience building end-to-end AI solutions using Azure Machine Learning
- Knowledge of Prompt Engineering , LLM orchestration, and AI evaluation frameworks
- Experience with Vector Databases (Azure AI Search, Pinecone, Chroma, Weaviate, etc.)
- Expertise in Machine Learning, Deep Learning, NLP , and model optimization
- Building scalable data pipelines , feature engineering, and distributed data processing
- Experience with API development, model deployment, MLOps, monitoring, and CI/CD
- Strong understanding of Responsible AI, AI Governance, and model explainability
Nice-to-Have Skills
- Experience with AI frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI
- Hands-on experience with Databricks , Azure Data Factory, Synapse Analytics
- Experience with Docker, Kubernetes, and cloud-native architectures
- Knowledge of multi-agent systems , AI observability, and LLM fine-tuning
- Experience building conversational AI, copilots, and enterprise AI solutions
- Exposure to Financial Services / Capital Markets use cases
Ideal Profile
8+ years of experience in AI/ML engineering with proven expertise in designing, developing, and deploying production-grade GenAI, RAG, and Agentic AI solutions on Azure cloud platforms. Strong full-stack AI engineering experience across model development, orchestration, deployment, and operations.