AI/ML Engineer

Job Title: ML/AI Developer
Location: Sunnyvale, CA (Hybrid)
Duration: Contract

Job Description:

Responsibilities:

• Design, develop, and implement advanced machine learning models and algorithms to address complex challenges in areas such as threat detection, anomaly detection, and risk assessment.
• Develop AI-driven solutions that integrate seamlessly with existing IT infrastructure and security systems.
• Collaborate with cross-functional teams to identify and prioritize AI use cases that align with organizational goals.
• Build and maintain scalable data pipelines to process large volumes of logs, telemetry signals, and other relevant data sources.
• Manage cloud-based AI/ML infrastructure using services such as AWS, Azure, or Google Cloud Platform.
• Develop and maintain CI/CD pipelines for automated model training, testing, and deployment.
• Ensure the security and integrity of AI models and data throughout the development lifecycle.
• Stay current with advancements in AI/ML technologies and security trends to incorporate new techniques into solutions.

Requirements:

• Bachelor s or Master s degree in Computer Science, Artificial Intelligence, or a related field.
• Overall, 10 Years experience with 3+ years of experience developing and implementing machine learning models, preferably in IT or cybersecurity contexts.
• Strong programming skills in Python and familiarity with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
• Experience with cloud platforms (AWS, Azure, or Google Cloud Platform) and containerization technologies (Docker, Kubernetes).
• Knowledge of data processing tools and big data technologies (e.g., Spark, Hadoop).
• Familiarity with cybersecurity principles and tools such as SIEM or IDS/IPS systems.
• Excellent problem-solving skills with the ability to address complex challenges creatively.
• Strong communication skills and ability to collaborate effectively across teams.

Preferred Qualifications:

• Experience with natural language processing (NLP) or large language models (LLMs).
• Familiarity with DevSecops practices and tools.
• Knowledge of regulatory compliance requirements (e.g., GDPR, HIPAA).
• Contributions to open-source AI/ML projects or research publications in the field.