Senior Machine Learning Engineer

Key Skills

Aartificial intelligence, AWS, Azure, Google Cloud Platform (GCP), Kubernetes-K8s, Large Language Models - LLMs, Leadership Skill, Machine learning techniques, Python Programming, PyTorch, TensorFlow

Job Description

As a Senior Machine Learning Engineer, you will develop and deploy ML models, work on transformer-based architectures, and contribute to end-to-end AI solutions. You will collaborate with engineers, researchers, and customers, helping to build and scale AI applications that address real-world industry challenge

• Build and optimize ML models for diverse applications
• Develop and maintain ML infrastructure, pipelines, and deployment systems
• Work across modeling, ML infra, and system development to deliver AI-driven solutions
• Engage with customers and internal teams to refine AI models based on real-world feedback
• Collaborate with cross-functional teams to ensure AI solutions are scalable and production-ready
• Solve complex ML and AI system design challenges

Minimum Qualifications

• Bachelors degree with 5+ years (or) Masters degree with 3+ years (or) PhD degree with 1+ year of software development industry experience
• 2+ years of industry experience in machine learning to include building, fine tuning and deploying machine learning models into production
• Experience in Python or Go and ML frameworks (PyTorch, TensorFlow)

Preferred Qualifications

• Strong understanding of ML Fundamentals, classic ML algorithms, modern transformer-based models and deep learning architectures
• Knowledge of LangChain, LlamaIndex, and Hugging Face models
• Background in AI security, risk detection, or fraud detection (a plus, but not required)
• Research experience or contributions to open-source ML projects
• Self-starter with a strong problem-solving skills and ability to work independently

WeAreCisco where every individual brings their unique skills and perspectives together to pursue our purpose of powering an inclusive future for all.

Our passion is connection-we celebrate our employees' diverse set of backgrounds and focus on unlocking potential. Cisconians often experience one company, many careers where learning and development are encouraged and supported at every stage. Our

technology, tools, and culture pioneered hybrid work trends, allowing all to not only give their best, but be their best.

We understand our outstanding opportunity to bring communities together and at the heart of that is our people. One-third of Cisconians collaborate in our 30 employee resource organizations, called Inclusive Communities, to connect, foster belonging, learn to be informed allies, and make a difference. Dedicated paid time off to volunteer-80 hours each year-allows us to give back to causes we are passionate about, and nearly 86% do!

Our purpose, driven by our people, is what makes us the worldwide leader in technology that powers the internet. Helping our customers reimagine their applications, secure their enterprise, transform their infrastructure, and meet their sustainability goals is what we do best. We ensure that every step we take is a step towards a more inclusive future for all. Take your next step and be you, with us!

Message to applicants applying to work in the U.S. and/or Canada:

When available, the salary range posted for this position reflects the projected hiring range for new hire, full-time salaries in U.S. and/or Canada locations, not including equity or benefits. For non-sales roles the hiring ranges reflect base salary only; employees are also eligible to receive annual bonuses. Hiring ranges for sales positions include base and incentive compensation target. Individual pay is determined by the candidate's hiring location and additional factors, including but not limited to skillset, experience, and relevant education, certifications, or training. Applicants may not be eligible for the full salary range based on their U.S. or Canada hiring location. The recruiter can share more details about compensation for the role in your location during the hiring process.