IN_Senior Associate_AI/ML Engineer_Data & Analytics_Advisory_Bangalore

Asks for

• A/B testingThe ad says“• Advanced knowledge of A/B testing, experimental design, and statistical hypothesis testing”
• AWSThe ad says“• Cloud & Infrastructure: Strong grasp of advanced cloud services (AWS, GCP, Azure) and network security for ML systems.”
• AWS DevopsThe ad says“AWS Devops”
• AzureThe ad says“• Cloud & Infrastructure: Strong grasp of advanced cloud services (AWS, GCP, Azure) and network security for ML systems.”
• CI/CD pipelinesThe ad says“• DevOps & Infrastructure: Experience with Infrastructure as Code (Terraform, CloudFormation), CI/CD pipelines (GitHub Actions, Jenkins), and container orchestration (Kubernetes) with Helm and service mesh implementations.”
• CloudFormationThe ad says“• DevOps & Infrastructure: Experience with Infrastructure as Code (Terraform, CloudFormation), CI/CD pipelines (GitHub Actions, Jenkins), and container orchestration (Kubernetes) with Helm and service mesh implementations.”
• concurrency processingThe ad says“• Software Engineering & Development: Advanced proficiency in Python, familiarity with Go or Rust, expertise in microservices, test-driven development, and concurrency processing.”
• dimensionality reductionThe ad says“• Expertise in feature engineering, embedding optimization, and dimensionality reduction”
• embedding optimizationThe ad says“• Expertise in feature engineering, embedding optimization, and dimensionality reduction”
• evaluationThe ad says“• Deep understanding of ML and LLM development lifecycle, including fine-tuning and evaluation”
• experimental designThe ad says“• Advanced knowledge of A/B testing, experimental design, and statistical hypothesis testing”
• FastAPIThe ad says“• LLM Infrastructure & Deployment: Proficiency in LLM serving platforms such as vLLM and FastAPI, model quantization techniques, and vector database management.”
• feature engineeringThe ad says“• Expertise in feature engineering, embedding optimization, and dimensionality reduction”
• fine-tuningThe ad says“• Deep understanding of ML and LLM development lifecycle, including fine-tuning and evaluation”
• GCPThe ad says“• Cloud & Infrastructure: Strong grasp of advanced cloud services (AWS, GCP, Azure) and network security for ML systems.”
• GitThe ad says“• Version control and experiment tracking using Git and MLflow”
• GitHub ActionsThe ad says“• DevOps & Infrastructure: Experience with Infrastructure as Code (Terraform, CloudFormation), CI/CD pipelines (GitHub Actions, Jenkins), and container orchestration (Kubernetes) with Helm and service mesh implementations.”
• GoThe ad says“• Software Engineering & Development: Advanced proficiency in Python, familiarity with Go or Rust, expertise in microservices, test-driven development, and concurrency processing.”
• HelmThe ad says“• DevOps & Infrastructure: Experience with Infrastructure as Code (Terraform, CloudFormation), CI/CD pipelines (GitHub Actions, Jenkins), and container orchestration (Kubernetes) with Helm and service mesh implementations.”
• JenkinsThe ad says“• DevOps & Infrastructure: Experience with Infrastructure as Code (Terraform, CloudFormation), CI/CD pipelines (GitHub Actions, Jenkins), and container orchestration (Kubernetes) with Helm and service mesh implementations.”
• KubernetesThe ad says“• DevOps & Infrastructure: Experience with Infrastructure as Code (Terraform, CloudFormation), CI/CD pipelines (GitHub Actions, Jenkins), and container orchestration (Kubernetes) with Helm and service mesh implementations.”
• LLM development lifecycleThe ad says“• Deep understanding of ML and LLM development lifecycle, including fine-tuning and evaluation”
• LLM frameworksThe ad says“• Extensive experience with LLM frameworks (Hugging Face Transformers, LangChain) and prompt engineering techniques”
• microservicesThe ad says“• Software Engineering & Development: Advanced proficiency in Python, familiarity with Go or Rust, expertise in microservices, test-driven development, and concurrency processing.”
• MLflowThe ad says“• Version control and experiment tracking using Git and MLflow”
• MLOpsThe ad says“• Understanding of MLOps practices for model deployment and monitoring”
• model quantizationThe ad says“• LLM Infrastructure & Deployment: Proficiency in LLM serving platforms such as vLLM and FastAPI, model quantization techniques, and vector database management.”
• network securityThe ad says“• Cloud & Infrastructure: Strong grasp of advanced cloud services (AWS, GCP, Azure) and network security for ML systems.”
• prompt engineeringThe ad says“• Extensive experience with LLM frameworks (Hugging Face Transformers, LangChain) and prompt engineering techniques”
• PythonThe ad says“• Advanced proficiency in Python.”
• PyTorchThe ad says“• General Skills: Python, SQL, knowledge of machine learning frameworks (Hugging Face, TensorFlow, PyTorch), and experience with cloud platforms like AWS or GCP.”
• RAG systemsThe ad says“• Experience with RAG systems, vector databases, and semantic search implementation”
• RustThe ad says“• Software Engineering & Development: Advanced proficiency in Python, familiarity with Go or Rust, expertise in microservices, test-driven development, and concurrency processing.”
• semantic searchThe ad says“• Experience with RAG systems, vector databases, and semantic search implementation”
• service meshThe ad says“• DevOps & Infrastructure: Experience with Infrastructure as Code (Terraform, CloudFormation), CI/CD pipelines (GitHub Actions, Jenkins), and container orchestration (Kubernetes) with Helm and service mesh implementations.”
• SparkThe ad says“• Experience with big data processing using Spark for large-scale data analytics”
• SQLThe ad says“• General Skills: Python, SQL, knowledge of machine learning frameworks (Hugging Face, TensorFlow, PyTorch), and experience with cloud platforms like AWS or GCP.”
• statistical hypothesis testingThe ad says“• Advanced knowledge of A/B testing, experimental design, and statistical hypothesis testing”
• TensorFlowThe ad says“• General Skills: Python, SQL, knowledge of machine learning frameworks (Hugging Face, TensorFlow, PyTorch), and experience with cloud platforms like AWS or GCP.”
• TerraformThe ad says“• DevOps & Infrastructure: Experience with Infrastructure as Code (Terraform, CloudFormation), CI/CD pipelines (GitHub Actions, Jenkins), and container orchestration (Kubernetes) with Helm and service mesh implementations.”
• test-driven developmentThe ad says“• Software Engineering & Development: Advanced proficiency in Python, familiarity with Go or Rust, expertise in microservices, test-driven development, and concurrency processing.”
• TF ServingThe ad says“• MLOps & Deployment: Utilization of containerization strategies for ML workloads, experience with model serving tools like TorchServe or TF Serving, and automated model retraining.”
• TorchServeThe ad says“• MLOps & Deployment: Utilization of containerization strategies for ML workloads, experience with model serving tools like TorchServe or TF Serving, and automated model retraining.”
• vector database managementThe ad says“• LLM Infrastructure & Deployment: Proficiency in LLM serving platforms such as vLLM and FastAPI, model quantization techniques, and vector database management.”
• vector databasesThe ad says“• Experience with RAG systems, vector databases, and semantic search implementation”
• vLLMThe ad says“• LLM Infrastructure & Deployment: Proficiency in LLM serving platforms such as vLLM and FastAPI, model quantization techniques, and vector database management.”