DS with GEN AI
Salesforce
DS with GEN AI (Location: Plano, TX ) Job Description:
• Advanced proficiency in Python, including experience with asynchronous programming, data structures, and object-oriented design.
• DS/ML algorithms and model working knowledge - XGBoost, Linear Regression, Clustering, Decicion Tree, KNN, SVN, etc.
• LangChain & LangGraph: Hands-on experience building, deploying, and maintaining applications using LangChain and LangGraph frameworks.
• Large Language Models (LLMs): In-depth understanding and practical experience with LLMs such as OpenAI GPT-3/4, Anthropic Claude, Meta Llama, or similar. LLM Fine-tuning experience
• Prompt Engineering: Expertise in designing, testing, and optimizing prompts for generative models to achieve desired outputs.
• Graph-Based Workflow Design: Demonstrated ability to architect, implement, and debug complex, stateful, branching conversational flows using LangGraph.
• API Development & Integration: Experience integrating external APIs, tools, and data sources into AI-driven workflows.
• Machine Learning Libraries: Familiarity with ML/AI libraries such as PyTorch, TensorFlow, Hugging Face Transformers, or similar.
• Hands-on experience in Python, Pyspark/Spark, NO-SQL (MongoDB), SQL- PostgreSQL, Redis, Databricks, Delta Lake, Azure Cloud
• Experience productionizing AI/ML or LLM-powered workflows (using LangGraph, LangChain, CrewAI etc.) with a focus on reliability, reproducibility, and auditability
• Strong understanding of LLMOps fundamentals, including prompt/model/config versioning and traceable run metadata.
• Advanced proficiency in Python, including experience with asynchronous programming, data structures, and object-oriented design.
• DS/ML algorithms and model working knowledge - XGBoost, Linear Regression, Clustering, Decicion Tree, KNN, SVN, etc.
• LangChain & LangGraph: Hands-on experience building, deploying, and maintaining applications using LangChain and LangGraph frameworks.
• Large Language Models (LLMs): In-depth understanding and practical experience with LLMs such as OpenAI GPT-3/4, Anthropic Claude, Meta Llama, or similar. LLM Fine-tuning experience
• Prompt Engineering: Expertise in designing, testing, and optimizing prompts for generative models to achieve desired outputs.
• Graph-Based Workflow Design: Demonstrated ability to architect, implement, and debug complex, stateful, branching conversational flows using LangGraph.
• API Development & Integration: Experience integrating external APIs, tools, and data sources into AI-driven workflows.
• Machine Learning Libraries: Familiarity with ML/AI libraries such as PyTorch, TensorFlow, Hugging Face Transformers, or similar.
• Hands-on experience in Python, Pyspark/Spark, NO-SQL (MongoDB), SQL- PostgreSQL, Redis, Databricks, Delta Lake, Azure Cloud
• Experience productionizing AI/ML or LLM-powered workflows (using LangGraph, LangChain, CrewAI etc.) with a focus on reliability, reproducibility, and auditability
• Strong understanding of LLMOps fundamentals, including prompt/model/config versioning and traceable run metadata.
Vacancy posted 5 days ago
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