Job Opening: Governance, Risk & Compliance (GRC) Analyst – Level 2/3 Location : Offshore (India) Contract : Long-term Experience : 5–9 years (flexible beyond 10 years with adjusted pay rate) Work Hours : India hours, up to 9:30 PM IST / 12 noon EST 🔎 About the Role We are seeking a Governance, Risk, and Compliance (GRC) Analyst to strengthen our audit, compliance, and risk management functions. This role combines operational execution with strategic input , ensuring visibility and control over SaaS applications while helping define governance frameworks and risk processes. 🎯 Key Responsibilities Governance & Compliance Support governance processes for SaaS applications, ensuring visibility of use and purpose. Participate in internal audits, documenting and reviewing existing controls. Risk Management Identify areas of risk in current processes and propose new controls or improvements. Contribute to building stronger risk management practices beyond compliance. Audit & Controls Support Balance responsibilities across audit, governance, and risk. Review policies, processes, and regulatory compliance related to applications and systems. 🛠 Skills & Qualifications 5–9 years of relevant experience in GRC, compliance, risk management, or audit . Strong proficiency in Microsoft Excel (mandatory). Working knowledge of Power BI for reporting and dashboards. Experience with SaaS governance and control frameworks is preferred. Strong analytical mindset with attention to detail and risk awareness. Excellent communication skills to work with cross-functional and global teams. 📌 Business Context The organization is facing challenges due to limited visibility and control over numerous SaaS applications. The selected candidate will play a key role in: Mapping, categorizing, and monitoring SaaS applications. Supporting audits and governance processes. Defining and enhancing governance and risk frameworks. ✅ Why Join Us? Opportunity to work in a strategic mid-level GRC role . Long-term engagement with exposure to global governance frameworks. Flexibility to contribute to both operational and process design activities . 📩 Interested candidates may share their updated resumes. Recruiters may also connect if they have suitable candidates available.
🚀Position 1 : MLOps Engineer II (Mid-Level) Location : Remote (Night Shift – 10 PM to 7 AM CST) Contract : 12 months (Renewable) Start Date : December 1, 2025 🔎 Role Overview We are seeking a proficient MLOps Engineer (Level II) with 2–4 years of experience in ML operations, pipelines, and production deployments . The ideal candidate will be hands-on, detail-oriented, and capable of working independently to ensure ML models are deployed, monitored, and maintained effectively. 🎯 Responsibilities Deploy and maintain ML models in production (AWS SageMaker, MLflow, Kubeflow). Manage CI/CD pipelines and infrastructure as code (Terraform, ArgoCD). Support ETL/data workflows using Airflow or Astronomer. Collaborate with data scientists to transition models into production environments. Troubleshoot issues, perform root cause analysis, and drive remediation. 🛠 Qualifications 2–4 years of experience in MLOps or DevOps . Strong Python skills for automation & workflow management. Hands-on with cloud ML tools and orchestration frameworks. Familiarity with CI/CD and monitoring best practices. 🚀 Position 2 : MLOps Engineer III (Senior-Level) Location : Remote (Night Shift – 10 PM to 7 AM CST) Contract : 12 months (renewable) Start Date : December 1, 2025 🔎 Role Overview We are hiring a Senior MLOps Engineer (Level III) with 4–6 years of experience designing and scaling ML infrastructure . This role requires technical leadership, mentorship, and deep expertise in automation and hybrid environments. The Engineer III will set best practices, lead monitoring strategies, and ensure reliable integration across teams. 🎯 Responsibilities Lead design of scalable MLOps frameworks and automation strategies. Build and optimize monitoring/alerting systems for drift, accuracy, and latency . Manage governance and versioning with GitHub Enterprise and JFrog Artifactory. Enhance deployment/retraining pipelines (Terraform, ArgoCD). Partner with Big Data and Work Routing teams for system reliability. Mentor junior engineers and lead knowledge transfer sessions . 🛠 Qualifications 4–6 years of experience in MLOps, DevOps, or ML Engineering . Advanced proficiency in automation, pipelines, and hybrid infra (on-prem + cloud) . Hands-on expertise with Terraform, ArgoCD, and orchestration tools. Strong leadership and communication skills. 📌 Why Join? Be part of an INSPYR Solutions Managed Service team . Work on cutting-edge production ML infrastructure . Fast selection : one interview with the hiring manager. Opportunity to contribute to a long-term, high-impact engagement .
Position 1 : MLOps Engineer III (Senior-Level) Location : Remote (Night Shift – 10 PM to 7 AM CST) Contract : 12 months (renewable) Start Date : December 1, 2025 🔎 Role Overview We are hiring a Senior MLOps Engineer (Level III) with 5–9 years of experience designing and scaling ML infrastructure . This role requires technical leadership, mentorship, and deep expertise in automation and hybrid environments. The Engineer III will set best practices, lead monitoring strategies, and ensure reliable integration across teams. 🎯 Responsibilities Lead design of scalable MLOps frameworks and automation strategies. Build and optimize monitoring/alerting systems for drift, accuracy, and latency . Manage governance and versioning with GitHub Enterprise and JFrog Artifactory. Enhance deployment/retraining pipelines (Terraform, ArgoCD). Partner with Big Data and Work Routing teams for system reliability. Mentor junior engineers and lead knowledge transfer sessions . 🛠 Qualifications 5–9 years of experience in MLOps, DevOps, or ML Engineering . Advanced proficiency in automation, pipelines, and hybrid infra (on-prem + cloud) . Hands-on expertise with Terraform, ArgoCD, and orchestration tools. Strong leadership and communication skills. 📌 Why Join? Be part of an INSPYR Solutions Managed Service team . Work on cutting-edge production ML infrastructure . Fast selection : one interview with the hiring manager. Opportunity to contribute to a long-term, high-impact engagement .
Job Title: Senior AI Engineer (REMOTE) Location: [Hybrid/Remote/Onsite — Add as needed] Experience: 6+ Years Employment Type: Full-time About the Role We are looking for a Senior AI Engineer who can lead the development and scaling of cutting-edge AI solutions involving LLMs, RAG systems, AI agents, and autonomous workflows . You will play a key role in designing architecture, building scalable pipelines, and enabling production-grade AI systems that deliver real impact. This is a highly technical role that requires deep expertise in Python, cloud-native AI systems, vector databases, orchestration frameworks, and production ML . Responsibilities Architect and build scalable LLM-powered applications , including chatbots, RAG systems, and AI decision-support tools. Develop autonomous agents and multi-agent systems for internal and client needs. Implement AIOps frameworks to monitor and improve production AI systems. Build and optimize data pipelines, ML workflows, APIs , and backend services using Python & SQL. Deploy scalable systems using AWS, Docker/Kubernetes, CI/CD, and IaC tools . Collaborate with cross-functional teams to define requirements and deliver AI capabilities at scale. Mentor engineers and contribute to organizational AI strategy. Stay updated on emerging LLM frameworks, agentic workflows, and ML infrastructure advancements. Required Qualifications Bachelor’s/Master’s in Computer Science, Engineering, or a related field 6+ years of experience in AI/ML Engineering with real-world production systems Strong experience developing and scaling LLM apps, RAG, agents, and AI-driven apps Excellent programming skills in Python & SQL Experience with AWS, Kubernetes, Docker, CI/CD, IaC Experience with vector databases (FAISS, Pinecone, Chroma, etc.) Strong understanding of software architecture and system design Excellent communication and team collaboration skills Nice-to-Have Skills Experience with real-time or event-driven architectures Exposure to LangChain, LangGraph, CrewAI, or agent frameworks Experience with MCP or a2a protocols Experience leading or mentoring junior engineers