Software Engineer AIML

Job Description/Preferred Qualifications

We are seeking a highly skilled Software Engineer with specialized expertise in Machine Learning Artificial Intelligence and Data Science to join our innovative technology team. This role will be key in developing impactful AI solutions that drive business transformation and technological advancement. The ideal candidate will combine strong technical skills with business intelligence to translate complex requirements into practical scalable applications that deliver measurable impact.

Key Responsibilities:

AI/ML Solution Development:Design develop and implement machine learning models and AI algorithms to address business challenges. This includes data preprocessing model training validation and deployment.

Scalable Architecture Design:Architect and design scalable systems that can handle large volumes of data and complex AI/ML workloads ensuring high performance and reliability

Production-Ready Solutions:Implement AI/ML solutions that are robust maintainable and ready for production environments. This includes considerations for security compliance and operational efficiency.

Innovation and Research:Stay abreast of the latest developments in AI ML and data science. Conduct research to explore new methodologies or improve existing ones ensuring our solutions remain innovative.

Collaboration:Work closely with multi-functional teams including data engineers product managers software developers and business partners to integrate advanced solutions into our products and services ensuring alignment with business objectives.

Problem Solving:Apply critical thinking to solve complex problems often requiring innovative approaches to data analysis model architecture system integration and business strategy.

Deployment and Monitoring:Oversee the deployment of AI/ML models into production environments ensuring scalability performance and reliability. Monitor model performance post-deployment and iterate as necessary.

Documentation and Knowledge Sharing:Document processes methodologies and findings. Share knowledge through internal presentations workshops or by contributing to our knowledge base.

Minimum Qualifications

Bachelors degree in Computer Science Data Science AI or a related field. Masters and/or PhD preferred

Minimum of 3-5 years of experience in AI/ML with a proven track record of deploying solutions in a production environment.

Proficiency in Python or similar languages with experience in libraries like TensorFlow Scikit-learn etc. Experience with RAG is essential.

Strong background in statistics machine learning algorithms deep learning neural networks and system architecture.

Strong understanding of cloud platforms DevOps practices and data processing technologies.

Demonstrated ability to lead technical projects and work effectively in matrix environments.

Ability to communicate technical concepts to non-technical team members and business partners.

Familiarity with software engineering best practices including version control (Git) CI/CD pipelines agile methodologies and system design patterns.

Preferred:

Experience with specialized AI domains or industry-specific applications.

Contributions to open-source projects or research publications in AI/ML.

Knowledge of AI ethics and responsible AI practices.

We offer a competitive family friendly total rewards package. We design our programs to reflect our commitment to an inclusive environment while ensuring we provide benefits that meet the diverse needs of our employees.

KLA is proud to be an equal opportunity employer

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