Machine Learning Engineer at Cisco

Short Description:

The Cisco Security AI team in Bangalore is seeking a skilled Machine Learning Engineer to contribute to the development of innovative AI products. The ideal candidate should possess a proven track record in customizing neural network architectures, handling high-dimensional data, and demonstrating proficiency in NLP and LLM. Responsibilities include developing and implementing advanced machine learning models for security challenges, leading model training and evaluation, designing robust software systems for deployment, and establishing best practices and documentation. The candidate should hold a BA/BS degree with 2+ years of experience or an MS degree with 1+ years of experience in machine learning engineering. Cisco Secure offers a dynamic, inclusive environment committed to innovation and individual growth.

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ML Engineer Position

Location: Bangalore, India

Area of Interest: Engineer - Software

Job Type: Professional

Technology Interest: Security

Job ID: 1416095

About Us

The Cisco Security AI team is at the forefront of delivering cutting-edge AI products and platforms for all Cisco secure products and portfolios. Our mission is to empower businesses globally to defend against threats and secure their critical assets through innovative security resilience. We are dedicated to simplifying security with zero compromise, leveraging the power of AI and Machine Learning. We are currently looking for a talented Machine Learning Engineer to join our team and make a significant impact in the cybersecurity industry.

Candidate Profile

We are seeking an individual with a proven track record in developing and implementing models to address real-world problems. The ideal candidate possesses expertise in the following areas:

• Problem-Specific Model Customization: Demonstrated ability to maximize and adapt neural network architectures, including GANs (Generative Adversarial Networks), Autoencoders, Attention Mechanisms, and Transformers. Experience in developing novel architectures to address unique challenges in different domains (e.g., NLP, computer vision, time series analysis).

• Handling High-Dimensional Data: Proficient in managing and extracting valuable patterns from high-dimensional data spaces, utilizing techniques like dimensionality reduction or specialized network architectures.

• NLP and LLM Proficiency: Strong proficiency in Natural Language Processing (NLP) and Large Language Models (LLM), including hands-on experience with BERT, GPT, or similar models. Building custom real-world production NLP models for tasks like text generation or text summarization is a strong plus.

• Innovative Solution Development: Ability to apply deep learning techniques innovatively to solve complex, non-traditional problems, combining domain knowledge (from cybersecurity or other domains) and out-of-the-box thinking.

• Model Scalability and Efficiency: Expertise in developing scalable and efficient models deployable in different environments, with a deep understanding of trade-offs between model complexity and performance.

• Continuous Learning and Adaptation: Commitment to staying informed about the latest research and trends in deep learning, integrating new findings and techniques into problem-solving approaches.

Responsibilities

As a Machine Learning Engineer, you will:

• Model Development: Develop and implement advanced machine learning models and algorithms to address challenging security problems, including threat detection, anomaly detection, and risk assessment.

• Model Training and Evaluation: Lead the training, validation, and fine-tuning of machine learning models, using innovative techniques and libraries. Define and track security-specific metrics for model performance.

• Solution Development: Design and implement robust software systems to integrate, deploy, and maintain advanced machine learning models in production environments. This includes developing and optimizing software frameworks, ensuring seamless model integration, and rigorously testing systems to maintain high reliability and performance standards.

• Deployment Strategy: Collaborate with software engineering teams to design and implement deployment strategies for machine learning models into security systems, ensuring scalability, reliability, and efficiency.

• Documentation and Best Practices: Establish best practices for machine learning and security operations, and maintain clear documentation of models, data pipelines, and security procedures.

Qualifications

• Basic Qualifications: BA/BS degree with 2+ years of experience or MS degree with 1+ years of experience as a machine learning engineer. Solid experience in machine learning engineering, with a strong portfolio of successful projects. Extensive experience in building machine learning systems and scalable solutions. Expertise in machine learning algorithms, deep learning, and statistical modeling.

• Preferred Qualifications: Master's degree in Computer Science, Data Science, Statistics, Computational Linguistics, or a related field. Proficiency in programming languages such as Python or R, and experience with machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn). Excellent problem-solving and communication skills, with the ability to explain complex concepts to non-technical stakeholders. Proven ability to work collaboratively in cross-functional teams.

Why Cisco Secure

At Cisco Secure, we value uniqueness and teamwork. We're a global, adaptable, and diverse team with an extensive and groundbreaking security portfolio. Joining us means becoming part of an enterprise security leader with a start-up culture, committed to driving innovation. We believe in inclusivity, collaboration, and diversity, and we're dedicated to providing an environment where each person can thrive.

We're proud to be recognized as the Best Security Company in 2021 with awards for Best Authentication Technology and the Best Small and Mid-Size Enterprises Security Solution in 2022 by SC Media. Cisco Secure continues to grow with 100% of Fortune 100 Companies using our products.

How to Apply

If you're passionate about security, customer-focused, and ready to make an impact, join us at Cisco Secure. Be yourself, be with us!

Please click here to apply.