AI / ML Implementation, Python, TensorFlow,AI ML /Claude

Immediate need for a talented AI / ML Implementation, Python, TensorFlow,AI ML /Claude. This is a 06+months contract opportunity with long-term potential and is located in U.S(Remote). Please review the job description below and contact me ASAP if you are interested.

Job ID: 26-32360

Pay Range: $45/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).

Key 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.

Key Requirements and Technology Experience:

• Key skills; AI-assisted coding, AI/ML, Generative AI, Claude, and RAG.
• 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.

Our client is a leading IT Industry, and we are currently interviewing to fill this and other similar contract posit…