Senior Software Engineer - AI Ops
Job Summary
Job Description
The AIOps Engineer will lead the transformation of IT operations using Artificial Intelligence (AI), Machine Learning (ML), Big Data analytics, and Robotic Process Automation (RPA). This role involves designing and implementing automated solutions, including tools for actionable insights, leveraging RPA platforms, advanced machine learning algorithms, and robust data analysis frameworks. The engineer will drive innovation to enhance the performance and agility of backend, infrastructure, operational, and finance teams. Responsibilities include implementing AI/ML algorithms to improve IT operational efficiency, developing scalable AI platforms, deploying machine learning models for automated incident resolution, creating advanced data analytics systems, and building interactive dashboards.
Must have:
- Bachelor's degree in Computer Science or related field with 3+ years of experience.
- Proficiency in at least two programming languages/frameworks (e.g., Python, PHP).
- Expertise in data preparation, model training, and big data analytics tools (e.g., Kafka).
- Strong experience with advanced AI/ML techniques, including LLM fine-tuning.
- Experience with vector databases and retrieval-augmented generation (RAG) techniques.
- Hands-on experience with RPA technologies and AI/ML solution development.
- Solid experience with relational and NoSQL databases and SQL.
- Familiarity with version control (Git), Agile methodologies, and CI/CD pipelines.
- Experience with cloud platforms (e.g., AWS, Azure) and containerization (Docker).
- Exposure to AIOps practices, including model deployment and automated retraining.
15 skills required
Job Details
Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work, offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally.
Job Responsibilities :
AIOps Engineer will implement the transformation of IT operations through the strategic application of Artificial Intelligence (AI), Machine Learning (ML) Big Data analytics and Robotic Process Automation (RPA). This critical role involves architecting and deploying cutting-edge automated solutions, including intelligent tools for actionable insights, leveraging technologies such as leading RPA platforms, advanced machine learning algorithms, and robust data analysis frameworks. AIOps Engineer will be a driving force for innovation, pioneering new approaches and technologies to enhance the performance and agility of backend, infrastructure, operational, and finance teams.Essential Duties and Responsibilities
- Architect and implement AI/ML algorithms to boost IT operational efficiency and resilience.
- Develop scalable AI platforms for predictive analytics and proactive system optimization.
- Deploy machine learning models for automated incident resolution and operational intelligence.
- Build advanced data analytics system to extract actionable insights from big data.
- Create interactive dashboards for real-time monitoring of key operational metrics and trend analysis.
- Formulate data strategies to maximize value and drive continuous IT improvement.
- Identify and implement RPA solutions to automate repetitive tasks and streamline workflows.
- Collaborate with cross-functional teams to integrate AI, data analytics, and RPA for enhanced IT operations.
- Demonstrate strong interpersonal and communication skills to effectively engage both technical and non-technical stakeholders.
- Flexibly adapt to additional tasks and evolving priorities, ensuring alignment with organizational goals.
Requirements
- Bachelor's degree in Computer Science, IT, or a related field; 3+ years of relevant experience.
- Proficiency in at least two programming languages/frameworks (e.g., Python with Django, PHP with Laravel, or LangGraph for AI orchestration).
- Expertise in data preparation, model training, and big data analytics using tools such as Kafka, Anaconda, and Jupyter Lab.
- Strong experience with advanced AI/ML techniques, including LLM fine-tuning, reinforcement learning, and generative AI frameworks (e.g., Hugging Face Transformers, LangChain).
- Experience with vector databases and retrieval-augmented generation (RAG) techniques for AI-driven applications.
- Hands-on experience with RPA technologies (e.g., Automation Anywhere 360, RPA Bot frameworks) and AI/ML solution development.
- Solid experience with relational and NoSQL databases (e.g., MySQL, MariaDB, CouchDB, Redis) and SQL.
- Familiarity with version control (Git), Agile methodologies, and CI/CD pipelines.
- Experience with cloud platforms (e.g., AWS, Azure) and containerization technologies (Docker).
- Exposure to AIOps practices, including model deployment, monitoring, and automated retraining using tools like MLflow, Kubeflow, or Vertex AI.
- Strong analytical, problem-solving, and communication skills, with a proven ability to collaborate effectively in cross-functional teams.
- Ability to work independently, manage multiple projects, and adapt in a dynamic environment.
Pre-Requisites :
Are you game?
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About The Company
At Razer, you'll be at the forefront of the most exciting industry in the world — gaming. Evolving forms of gaming require evolving forms of hardware, software and services. That’s where Razer comes in, offering innovative top-of-the-line products and services to allow gamers to fully immerse in the ultimate gaming experience.Getting onboard Razer will place you on a global mission to bring gamers closer to the games they love. Razer is a place to do great work, offering you the opportunity to be a part of a global team across 11 countries. Whether you are a hardcore evangelist who breathe life to the latest and greatest gaming gear or a behind-the-scene hero who runs our global operations, you are assured of a career-changing quest that transcends time zones and culture with one single spell: For Gamers. By Gamers.The journey towards phenomenal-ness won’t come easy. However, we will excel because gamers rely on teamwork. We achieve greatness because we are wicked problem-solvers and tenacious in clinching victories in all that we do. It is the team that makes Razer where it is today and will continue to bring Razer to even greater heights.
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