Senior AI/ML Engineer

1 week ago


Indore, Madhya Pradesh, India STEPS Talent Full time

Position: Senior AI/ML Engineer (Azure OpenAI | AI SaaS | Microsoft Partnership)Location: Remote (India) | Time Zone: US AZ Hours preferred (flexible to US CST hours)Company OverviewSTEPS Talent Inc. is redefining IT staffing with a patent-pending AI-powered recruitment platform designed for precision in candidate-client alignment . STEPS-AI leverages Azure OpenAI, Retrieval-Augmented Generation (RAG), and Cognitive Services to optimize recruiter workflows, automate candidate sourcing, and enhance hiring accuracy.We are seeking a Senior AI/ML Engineer to lead technical execution, AI model optimization, and cloud-based scalability for STEPS-AI. The ideal candidate will have hands-on expertise in Azure OpenAI, cloud-native AI development, and scalable SaaS AI architecture.Key Responsibilities1. AI Product Execution & Cloud ArchitectureDevelop and optimize Azure OpenAI-powered recruitment automation tools.Deploy GPT-based AI models for real-time resume parsing, job matching, and intelligent candidate recommendations.Architect scalable cloud AI infrastructure , optimizing cost efficiency and system performance.Implement document retrieval, vector search, and RAG-based NLP workflows to enhance AI-driven hiring intelligence.2. SaaS AI Deployment & ScalabilityDesign and maintain enterprise-grade APIs for AI-driven recruiting automation.Deploy AI models with Azure Kubernetes Service (AKS), serverless functions, and DevOps pipelines for continuous integration.Implement cost-efficient scaling strategies to manage AI workloads across large data volumes.3. Strategic Cloud Optimization & AI Performance TuningOptimize AI performance and inference efficiency across cloud-based recruitment workflows.Implement AI cost monitoring, model retraining strategies, and compliance best practices.Ensure system security, governance, and enterprise AI readiness.4. Microsoft Ecosystem & Azure AI OptimizationEnhance Azure AI model deployment within Microsoft's cloud infrastructure.Align AI engineering with cloud best practices, compliance, and security standards.Leverage Azure AI ecosystem for scalable, enterprise-grade AI automation.5. Future ATS/CRM Integrations & Recruitment Automation (Nice to Have)Develop AI-powered recruiting automation tools that integrate with ATS/CRM systems.Support integration strategies for Dynamics 365, Bullhorn, Workday, or other recruitment platforms.Leverage AI to enhance job matching, resume parsing, and recruiter efficiency tools.RequirementsTop Must-Have Skills for this role:1. Deep expertise in Azure OpenAI & AI Model OptimizationHands-on experience deploying Azure OpenAI Services, Cognitive Services, and Retrieval-Augmented Generation (RAG) workflows .Expertise in GPT-based NLP, vector search, and AI automation.2. Scalable AI SaaS Product DevelopmentExperience building, scaling, and deploying AI-driven SaaS platforms.Strong proficiency in API architecture, AI-powered automation, and data engineering.3. Cloud-Native AI Execution & DevOps ExpertiseExperience with Azure Kubernetes Service (AKS), CI/CD pipelines, and serverless AI deployments.Strong Python backend development with API-driven AI model integration.4. Strategic AI Deployment & Cost OptimizationExperience optimizing AI costs in large-scale Azure environments.Ability to ensure AI compliance, governance, and enterprise readiness.5. Microsoft AI Ecosystem ExperienceBackground in Microsoft AI partnerships, cloud AI best practices, and integration with enterprise tools (e.g., Dynamics 365).Understanding of AI scalability within Microsoft's enterprise cloud infrastructure.Preferred Skills (Nice to Have)Experience working with staffing/recruitment software (ATS/CRM) and AI-driven hiring automation.Familiarity with cost optimization strategies for AI SaaS models on Azure.Hands-on experience fine-tuning transformer models (Hugging Face, OpenAI, LangChain).Why Join Us?Lead AI innovation in a patent-pending AI-driven recruitment platform leveraging Azure OpenAI .Strong technical ownership with hands-on AI product execution.Strategic role optimizing AI infrastructure for scalability and commercialization.Opportunity to contribute to the future of AI-driven hiring automation.


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