Senior Software Engineer, ML
Description
We are looking for a highly skilled Senior Software Engineer with expertise in Machine Learning platforms and Backend technologies to develop, optimize, and scale cutting-edge solutions that enable seamless deployment, customization, and optimization of ML, Deep Learning (DL), and Large Language Models (LLMs).
The ideal candidate will drive the design and development of backend services, manage cloud-based ML workflows, and integrate emerging technologies to elevate system performance.
Responsibilities
Develop Core AI Engineering Capabilities Design and implement AI/ML models and orchestration that drive critical use cases across Splunk’s product offerings.
Build Production-Ready AI Agents Design, implement, and fine-tune conversational AI solutions, including chatbots and virtual assistants, using natural language processing (NLP), dialogue management systems, and large language models (LLMs).
Research and Innovation Stay at the forefront of AI/ML developments, incorporating pioneering research into practical, applied solutions. Investigate and integrate new methodologies, such as advancements in Gen AI and LLMs, into our product ecosystem.
Collaborate Across Teams Partner with diverse teams including product managers, data scientists, and software engineers to align AI/ML engineering efforts with business goals.
Requirements
Ensure a clear, iterative approach to building AI-powered product features with 5+ years of total professional experience, including a minimum of 3 years in the machine learning domain.
In-depth AI/ML Expertise Extensive experience and expertise in machine learning, deep learning, and statistical modeling, with a focus on large-scale deployment.Hands-on Engineering Experience Proven track record of building and deploying production-grade AI/ML systems.Generative AI and LLM Exp
Significant experience working with generative AI models, large language models (LLMs), and integrating them into enterprise-level applications.Conversational AI Expertise Proven experience in building and deploying conversational AI systems, including NLP, intent recognition, and dialogue management.
Expertise in designing RAG pipelines and implementing guardrails to ensure robust, secure, and ethical chatbot interactions.
Coding and Algorithm Development Proficiency in modern programming languages such as Python.
Strong skills and experience with ML-specific tools like TensorFlow, PyTorch, Scikit-learn, etc.
Splunk, a Cisco company, is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis
Thank you for your interest in Splunk!