Note: The job is a remote job and is open to candidates in USA. Pyramid Consulting is recruiting for an AI/ML implementation role on behalf of an unnamed client in the IT industry. The role focuses on developing, deploying, and operating production machine learning and generative AI solutions, including LLM applications, RAG pipelines, and Azure-based AI services.

Responsibilities

• Design, train, evaluate, and deploy Machine Learning and Deep Learning models for classification, regression, ranking, computer vision, NLP, and time-series forecasting
• Develop and deploy LLM-powered applications using Anthropic Claude, Azure OpenAI, OpenAI, or equivalent model providers
• Build and optimize RAG pipelines, including document chunking, embeddings, vector databases, and re-ranking
• Develop agentic AI workflows with tool integration, orchestration, guardrails, and human-in-the-loop review
• Apply prompt engineering, fine-tuning, and structured output techniques to improve AI performance
• Implement offline evaluations and online metrics to measure model quality, accuracy, latency, and cost
• Build and maintain data and feature pipelines on Azure, ensuring data quality, lineage, and reproducibility
• Implement MLOps practices, including model versioning, automated retraining, drift detection, monitoring, and rollback strategies
• Use AI-assisted coding tools such as Claude Code and Cursor alongside traditional manual coding
• Review and validate AI-generated code to ensure quality, security, maintainability, and reliability
• Manage source code using Git, branching strategies, and pull-request-based code reviews
• Build and maintain CI/CD pipelines using Azure DevOps, GitHub Actions, or equivalent tools
• Deploy and operate AI services on Azure using Docker, Kubernetes/AKS, and infrastructure-as-code tools such as Terraform or Bicep
• Implement logging, tracing, observability, and evaluation pipelines for production AI systems
• Collaborate with security and compliance teams to address data privacy, PHI/PII protection, prompt injection, and AI model risks
• Work with product, scientific, and business stakeholders to translate business requirements into practical AI solutions
• Mentor engineers on AI-assisted development, LLM application design, and best practices for production AI systems
• Conduct technical design and code reviews, promoting AI safety, evaluation, and observability

Skills

• Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, Mathematics, Statistics, or a related field, or equivalent practical experience
• 4+ years of professional software engineering experience, including at least 2 years of building and deploying production ML/AI systems
• Strong proficiency in Python and ML libraries such as PyTorch, TensorFlow, scikit-learn, pandas, and NumPy
• Hands-on experience building and deploying LLM-based applications using Anthropic Claude, Azure OpenAI, OpenAI, or open-source models
• Practical experience with RAG, embeddings, and at least one production-grade vector database or search solution
• Demonstrated proficiency with AI coding tools, particularly Claude Code and Cursor, alongside strong manual coding skills
• Strong understanding of Git, branching strategies, pull requests, and code review practices
• Hands-on experience developing and maintaining CI/CD pipelines using Azure DevOps, GitHub Actions, or equivalent tools
• Experience deploying production applications on Microsoft Azure, including AKS, App Service, Azure Functions, Azure AI/ML services, or similar platforms
• Experience with Docker and containerized application deployment
• Knowledge of MLOps, model monitoring, evaluation frameworks, and production AI observability
• Understanding of AI security, data privacy, responsible AI practices, and prompt-injection risks
• Excellent written and verbal communication skills, with the ability to explain technical decisions and trade-offs to non-technical stakeholders
• Ability to work independently and collaborate effectively in a fully remote, globally distributed team

Benefits

• Health insurance (medical, dental, vision)
• 401(k) plan
• Paid sick leave (depending on work location)
• Remote work

Company Overview

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