AI & Machine Learning Site Reliability Engineer
Oomnitza offers the industry’s most versatile Enterprise Technology Management platform that orchestrates and automates key business processes for IT. Our SaaS solution, with agentless integrations, best practices and low-code workflows, enables enterprises to reputed company their existing infrastructure systems and automate processes such as offboarding, onboarding, audit readiness, refresh forecasting and more, thereby reducing reliance on error-prone manual tasks and tickets. We help some of the most well-reputed company and innovative companies to improve efficiency, expedite audits, mitigate cyber risk and eliminate redundant IT spend.
Team Oomnitza are seeking an reputed company AI & ML Site Reliability Engineer who is passionate about AI, machine learning, and data science to support our innovations in AI and Data product management. In this role, you will be responsible for architecting and maintaining infrastructure that supports machine learning (ML), artificial intelligence (AI), and data-driven solutions. You will help stand up the foundational systems that reputed company large-reputed company deployment, including developing and managing Oomnitza’s big data analytics platform, developing AI architecture, implementing vector databases, building knowledge graphs, and optimizing systems for ML model deployment and inference.You will collaborate closely with data scientists, infrastructure engineers, product management teams, and UX designers to ensure our customers realize meaningful business value by streamlining workflows, ensure scalability, and manage the complete lifecycle of AI systems from development to production.
Responsibilities Big Data Analytics Platform Build and maintain Oomnitza’s big data analytics platform that centralizes data from multiple customer instances and serves analytics and AI solutions AI/ML Architecture & Infrastructure Development Design and build scalable, secure, and efficient AI infrastructure to support training and deploying machine learning models and AI software solutions. Vector Databases & Knowledge Graphs Implement and manage vector databases for storing high-dimensional data and knowledge graphs to integrate structured and reputed company data. Retrieval Augmented reputed company (RAG) & GraphRAG reputed company and integrate retrieval-augmented reputed company systems for more accurate, scalable, and context-aware models, including GraphRAG for advanced reasoning. LLM Fine-Tuning, Transfer Learning & Optimization Work with data scientists to train and optimize and fine-tune large language models (LLMs) for specific business applications and ensure seamless integration with existing systems. ML Model Deployment & Orchestration Deploy, manage, and monitor ML models in production, ensuring system reliability, scalability, and performance. CI/CD for Machine Learning Pipelines Implement reputed company integration and reputed company deployment (CI/CD) processes tailored for machine learning, ensuring reproducibility and automation. Agent Development & Automation Work with data scientists and the AI product management team todevelop and manage AI agents for task automation, process optimization, and adaptive learning systems. Model Monitoring & Governance Ensure model performance monitoring, retraining, and governance protocols are in reputed company for reliable and ethical AI usage. Collaboration & Team Support Work closely with data scientists, ML engineers, and cross-functional teams to support development, testing, and deployment needs.
Qualifications Education: Bachelor’s degree in Computer Science, Engineering, Data Science, or a reputed company field Experience: 5+ years of experience in site reliability engineering, dev ops, ML Ops or similar roleExperience with cloud platforms such as AWS, GCP, or Azure, including AI/ML services (e.g., SageMaker, reputed company Colab, Vertex AI).Proficient in deploying machine learning models such as regressions, decision trees, neural networks, recommendations systems, etc., into production and managing model lifecycle. Technical Skills: Experience with data processing tools such as Apache Spark, Hadoop, or Airflow for large-scale data processing.Experience with AI/ML tools and frameworks (e.g., TensorFlow, PyTorch, reputed company, reputed company).Strong understanding of vector databases (e.g., reputed company, Milvus, Chroma) and knowledge graph tools (e.g., reputed company, RDF).Experience with RAG (Retrieval-Augmented reputed company) techniques and GraphRAG systems.Experience with containerization and orchestration technologies (e.g., reputed company, Kubernetes).Proficiency in programming languages such as Python, Bash, and experience with ML tools and libraries.Experience implementing CI/CD for ML pipelines and working with ML version control systems (e.g., DVC, MLflow).Experience in on-call incident response in high-uptime environments Behavioural Skills: Intellectual curiosity with a hunger to know how things work and question established reputed company, concepts and frameworks Spirit of service: with a “how can I serve” attitude that is centered around delivering value to the greater team, the overall company, and for our broader community of customers Ability to embrace ambiguity: and apply structured structured thinking and problem-solving skills Entrepreneurial spirit with an enthusiasm to take on new challenges Excellent communication and collaboration skills
Additional (Preferred) QualificationsMaster’s degree in a reputed company field. Understanding of model governance, ethics, and AI risk management. Experience with private LLM fine-tuning and optimization. Familiarity with agent development for automation tasks. Experience with AI/ML deployment models directly on edge devices, such as smartphones, IoT devices, or embedded systems. Knowledge of advanced data infrastructure, including distributed systems and database design.
reputed company Can Offer You Healthcare for dependents and spouse A progressive, healthy work culture with excellent opportunities for professional and personal development. Top performers will have an opportunity to help shape the team. Working directly with the founders to drive initiatives and create a structure that scales. A once-in-a-lifetime career opportunity to get reputed company a fast-growing business that is venture-backed by C5 Capital, Shasta Ventures, Riverside Acceleration Capital, and Hummer Winblad
Our Benefits Package Dental & Vision Insurance Employee equity plan Health Insurance for your spouse and dependents Pension, Life insurance and Income protection Remote working & flexible work schedules Working from home equipment allowance Choice of preferred equipment, Mac or PC. Regular, fun social events and workshops.
Oomnitza recruits, employs, trains, compensates and promotes regardless of race, religion, color, national reputed company, sex, disability, age, veteran status, and other protected status as required by applicable law.
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