Lead Data Specialist

Asks for

• A2AThe ad says“Hands-on experience or working knowledge of A2A — Agent2Agent Protocol or similar agent interoperability patterns for enabling communication, coordination, and collaboration between AI agents.”
• Agentic AIThe ad says“1–2 years of hands-on experience in Agentic AI, LLM application development, AI agents, RAG-based solutions, GenAI workflow automation, or multi-agent systems.”
• Applied AIThe ad says“We are seeking a Senior Data Scientist specializing in production-grade Machine Learning model development and deployment with 5+ years of experience in data science, machine learning, statistical modeling, and applied AI solutions. The role will focus on designing, developing, validating, and operationalizing machine learning models that solve real business problems and are deployed into production environments rather than limited proof-of-concept implementations. The ideal candidate should have hands-on experience with at least one major cloud platform such as Azure, GCP, or AWS, along with strong knowledge of Python, ML frameworks, model evaluation, feature engineering, MLOps, and production model monitoring. This position requires close collaboration with data engineers, ML engineers, architects, product teams, and business stakeholders to deliver scalable, reliable, explainable, and business-impact-driven ML solutions.”
• AutoGenThe ad says“Experience with LLM application frameworks such as LangChain, LangGraph, Semantic Kernel, LlamaIndex, AutoGen, CrewAI, or similar frameworks.”
• AWSThe ad says“We are seeking a Senior Data Scientist specializing in production-grade Machine Learning model development and deployment with 5+ years of experience in data science, machine learning, statistical modeling, and applied AI solutions. The role will focus on designing, developing, validating, and operationalizing machine learning models that solve real business problems and are deployed into production environments rather than limited proof-of-concept implementations. The ideal candidate should have hands-on experience with at least one major cloud platform such as Azure, GCP, or AWS, along with strong knowledge of Python, ML frameworks, model evaluation, feature engineering, MLOps, and production model monitoring. This position requires close collaboration with data engineers, ML engineers, architects, product teams, and business stakeholders to deliver scalable, reliable, explainable, and business-impact-driven ML solutions.”
• AWS BedrockThe ad says“Hands-on experience with at least one major AI cloud platform: AWS Bedrock, Azure AI Foundry, or GCP Vertex AI.”
• AzureThe ad says“We are seeking a Senior Data Scientist specializing in production-grade Machine Learning model development and deployment with 5+ years of experience in data science, machine learning, statistical modeling, and applied AI solutions. The role will focus on designing, developing, validating, and operationalizing machine learning models that solve real business problems and are deployed into production environments rather than limited proof-of-concept implementations. The ideal candidate should have hands-on experience with at least one major cloud platform such as Azure, GCP, or AWS, along with strong knowledge of Python, ML frameworks, model evaluation, feature engineering, MLOps, and production model monitoring. This position requires close collaboration with data engineers, ML engineers, architects, product teams, and business stakeholders to deliver scalable, reliable, explainable, and business-impact-driven ML solutions.”
• Azure AI FoundryThe ad says“Hands-on experience with at least one major AI cloud platform: AWS Bedrock, Azure AI Foundry, or GCP Vertex AI.”
• ChromaThe ad says“Familiarity with vector databases or search platforms such as Azure AI Search, Amazon OpenSearch, Pinecone, Weaviate, FAISS, Chroma, Milvus, or similar tools.”
• CI/CDThe ad says“Experience with Git, experiment tracking, CI/CD concepts, model registries, containerization, logging, monitoring, and production release workflows.”
• CrewAIThe ad says“Experience with LLM application frameworks such as LangChain, LangGraph, Semantic Kernel, LlamaIndex, AutoGen, CrewAI, or similar frameworks.”
• Data ScienceThe ad says“Must have skills: Data Science and Machine Learning”
• FAISSThe ad says“Familiarity with vector databases or search platforms such as Azure AI Search, Amazon OpenSearch, Pinecone, Weaviate, FAISS, Chroma, Milvus, or similar tools.”
• GCPThe ad says“We are seeking a Senior Data Scientist specializing in production-grade Machine Learning model development and deployment with 5+ years of experience in data science, machine learning, statistical modeling, and applied AI solutions. The role will focus on designing, developing, validating, and operationalizing machine learning models that solve real business problems and are deployed into production environments rather than limited proof-of-concept implementations. The ideal candidate should have hands-on experience with at least one major cloud platform such as Azure, GCP, or AWS, along with strong knowledge of Python, ML frameworks, model evaluation, feature engineering, MLOps, and production model monitoring. This position requires close collaboration with data engineers, ML engineers, architects, product teams, and business stakeholders to deliver scalable, reliable, explainable, and business-impact-driven ML solutions.”
• GenAI workflow automationThe ad says“1–2 years of hands-on experience in Agentic AI, LLM application development, AI agents, RAG-based solutions, GenAI workflow automation, or multi-agent systems.”
• GitThe ad says“Experience with Git, experiment tracking, CI/CD concepts, model registries, containerization, logging, monitoring, and production release workflows.”
• LangChainThe ad says“Experience with LLM application frameworks such as LangChain, LangGraph, Semantic Kernel, LlamaIndex, AutoGen, CrewAI, or similar frameworks.”
• LangGraphThe ad says“Experience with LLM application frameworks such as LangChain, LangGraph, Semantic Kernel, LlamaIndex, AutoGen, CrewAI, or similar frameworks.”
• LightGBMThe ad says“Hands-on experience with ML libraries and frameworks such as scikit-learn, XGBoost, LightGBM, TensorFlow, PyTorch, MLflow, or similar tools.”
• LlamaIndexThe ad says“Experience with LLM application frameworks such as LangChain, LangGraph, Semantic Kernel, LlamaIndex, AutoGen, CrewAI, or similar frameworks.”
• LLM application developmentThe ad says“1–2 years of hands-on experience in Agentic AI, LLM application development, AI agents, RAG-based solutions, GenAI workflow automation, or multi-agent systems.”
• Machine LearningThe ad says“Must have skills: Data Science and Machine Learning”
• MCPThe ad says“Hands-on experience or implementation exposure with MCP — Model Context Protocol for connecting AI agents or LLM applications with tools, APIs, enterprise systems, and external data sources.”
• MilvusThe ad says“Familiarity with vector databases or search platforms such as Azure AI Search, Amazon OpenSearch, Pinecone, Weaviate, FAISS, Chroma, Milvus, or similar tools.”
• ML frameworksThe ad says“We are seeking a Senior Data Scientist specializing in production-grade Machine Learning model development and deployment with 5+ years of experience in data science, machine learning, statistical modeling, and applied AI solutions. The role will focus on designing, developing, validating, and operationalizing machine learning models that solve real business problems and are deployed into production environments rather than limited proof-of-concept implementations. The ideal candidate should have hands-on experience with at least one major cloud platform such as Azure, GCP, or AWS, along with strong knowledge of Python, ML frameworks, model evaluation, feature engineering, MLOps, and production model monitoring. This position requires close collaboration with data engineers, ML engineers, architects, product teams, and business stakeholders to deliver scalable, reliable, explainable, and business-impact-driven ML solutions.”
• MLflowThe ad says“Hands-on experience with ML libraries and frameworks such as scikit-learn, XGBoost, LightGBM, TensorFlow, PyTorch, MLflow, or similar tools.”
• MLOpsThe ad says“We are seeking a Senior Data Scientist specializing in production-grade Machine Learning model development and deployment with 5+ years of experience in data science, machine learning, statistical modeling, and applied AI solutions. The role will focus on designing, developing, validating, and operationalizing machine learning models that solve real business problems and are deployed into production environments rather than limited proof-of-concept implementations. The ideal candidate should have hands-on experience with at least one major cloud platform such as Azure, GCP, or AWS, along with strong knowledge of Python, ML frameworks, model evaluation, feature engineering, MLOps, and production model monitoring. This position requires close collaboration with data engineers, ML engineers, architects, product teams, and business stakeholders to deliver scalable, reliable, explainable, and business-impact-driven ML solutions.”
• PineconeThe ad says“Familiarity with vector databases or search platforms such as Azure AI Search, Amazon OpenSearch, Pinecone, Weaviate, FAISS, Chroma, Milvus, or similar tools.”
• PythonThe ad says“We are seeking a Senior Data Scientist specializing in production-grade Machine Learning model development and deployment with 5+ years of experience in data science, machine learning, statistical modeling, and applied AI solutions. The role will focus on designing, developing, validating, and operationalizing machine learning models that solve real business problems and are deployed into production environments rather than limited proof-of-concept implementations. The ideal candidate should have hands-on experience with at least one major cloud platform such as Azure, GCP, or AWS, along with strong knowledge of Python, ML frameworks, model evaluation, feature engineering, MLOps, and production model monitoring. This position requires close collaboration with data engineers, ML engineers, architects, product teams, and business stakeholders to deliver scalable, reliable, explainable, and business-impact-driven ML solutions.”
• PyTorchThe ad says“Hands-on experience with ML libraries and frameworks such as scikit-learn, XGBoost, LightGBM, TensorFlow, PyTorch, MLflow, or similar tools.”
• RAG-based solutionsThe ad says“1–2 years of hands-on experience in Agentic AI, LLM application development, AI agents, RAG-based solutions, GenAI workflow automation, or multi-agent systems.”
• Retrieval-Augmented GenerationThe ad says“Good understanding of Retrieval-Augmented Generation, embeddings, vector search, semantic search, chunking strategies, document ingestion, and prompt engineering.”
• scikit-learnThe ad says“Hands-on experience with ML libraries and frameworks such as scikit-learn, XGBoost, LightGBM, TensorFlow, PyTorch, MLflow, or similar tools.”
• Semantic KernelThe ad says“Experience with LLM application frameworks such as LangChain, LangGraph, Semantic Kernel, LlamaIndex, AutoGen, CrewAI, or similar frameworks.”
• SQLThe ad says“Good knowledge of SQL and experience working with structured, semi-structured, and large-scale datasets.”
• Statistical modelingThe ad says“We are seeking a Senior Data Scientist specializing in production-grade Machine Learning model development and deployment with 5+ years of experience in data science, machine learning, statistical modeling, and applied AI solutions. The role will focus on designing, developing, validating, and operationalizing machine learning models that solve real business problems and are deployed into production environments rather than limited proof-of-concept implementations. The ideal candidate should have hands-on experience with at least one major cloud platform such as Azure, GCP, or AWS, along with strong knowledge of Python, ML frameworks, model evaluation, feature engineering, MLOps, and production model monitoring. This position requires close collaboration with data engineers, ML engineers, architects, product teams, and business stakeholders to deliver scalable, reliable, explainable, and business-impact-driven ML solutions.”
• TensorFlowThe ad says“Hands-on experience with ML libraries and frameworks such as scikit-learn, XGBoost, LightGBM, TensorFlow, PyTorch, MLflow, or similar tools.”
• Vector databasesThe ad says“Familiarity with vector databases or search platforms such as Azure AI Search, Amazon OpenSearch, Pinecone, Weaviate, FAISS, Chroma, Milvus, or similar tools.”
• WeaviateThe ad says“Familiarity with vector databases or search platforms such as Azure AI Search, Amazon OpenSearch, Pinecone, Weaviate, FAISS, Chroma, Milvus, or similar tools.”
• XGBoostThe ad says“Hands-on experience with ML libraries and frameworks such as scikit-learn, XGBoost, LightGBM, TensorFlow, PyTorch, MLflow, or similar tools.”