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Core Programming & Tools
• Hands-on experience building and deploying ML models on large-scale production datasets
• Strong programming proficiency in Python with production-quality, well-structured code
• Proficient in SQL; experience working with large-volume datasets in Spark and/or Snowflake
• Experience with Git for version control, code review, and collaboration
• Familiarity with experiment tracking and model versioning (e.g., MLflow)
Classical ML & Statistical Modeling
• Time series forecasting (ARIMA, Prophet, deep learning approaches)
• Optimization modeling (linear programming, mixed-integer programming)
• Classification, regression, clustering, and ensemble methods
• Feature engineering, data wrangling, and statistical analysis on structured data
LLM Application & AI Agent Development
• AI Agent development: experience building agentic frameworks using Azure AI Studio and Azure model endpoints, including tool-use patterns and multi-step orchestration
• RAG pipeline development: document ingestion/chunking, vector embedding/indexing (Azure AI Search), and response generation using LLM endpoints
• Prompt engineering and chain-of-thought design for complex supply chain workflows
• Experience with orchestration frameworks like LangChain or LlamaIndex
Azure & Production Delivery
• Familiar with core Azure resources: Azure Machine Learning, Azure AI Studio, Azure OpenAI Service, and Azure storage/compute
• Experience delivering production-ready models with proper testing, validation, and monitoring
• Basic UI skills (Streamlit or Gradio) for quick prototyping and demos
Work Style
• Highly self-motivated, collaborative, and able to deliver in a fast-paced environment
• Able to start contributing within 1-2 weeks with minimal ramp-up
Job ID: 148516101
Skills:
Hypothesis Testing, Linear Regression, Logistic Regression, Python, Pyspark, SAS, Spss, Statistical Analysis, T-Test, Z-Test
Skills:
Ml, Deep Learning, MLops, Python, Generative AI, AI accelerator chips, Ai, DL, Transformer-based networks, reinforcement learning, Agentic AI, RL
Skills:
Deep Learning, Sql, Java, Tensorflow, Machine Learning, Pytorch, Nosql, Artificial Intelligence, Git, PostgreSQL, Natural Language Processing, Amazon Web Services, Gitlab, Perforce, Kubernetes, Python, Docker, Microsoft Azure, Google Cloud Platform, OpenAI, scikit-learn, LangChain, large language models, Milvus, FAISS, Generative AI, Qdrant
Skills:
Ml, Deep Learning, MLops, Python, Generative AI, DL, Ai, Transformer-based networks, reinforcement learning, Agentic AI, RL, modern AI frameworks
Skills:
snowflake , Bi Tools, S3, Machine Learning, RDS, Power Bi, Dynamodb, Tableau, Emr, Sql, Python Programming, Nosql, Ec2, SageMaker, Glue, Data Quality Dashboards, Data Processing, Athena
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