Artificial Intelligence Analyst - Automation Technologies (3-5 yrs)

About Illumina :

Illumina is a leading developer, manufacturer, and marketer of life science tools and integrated systems dedicated to making genomics useful for all.

Illumina's integrated Indian global hub in Bengaluru, Illumina India Biotechnology Private Limited, is focused on technology activities that will help usher in the next wave of innovation in healthcare and medical research.

If you're eager to work on challenging projects that uses cutting-edge technology to transform the future of healthcare, this is your chance to join a truly remarkable team.

Position Summary :

We seek a highly skilled and motivated AI Analyst to join our dynamic team in India.

- The ideal candidate will have extensive experience with automation technologies, precisely UI Path, and a strong background in AI / GenAI technologies.

- This role involves applying machine learning (ML) models for segmentation, developing MLOps frameworks, and working with OpenAI for Generative AI solutions.

Scope of Responsibilities :

- Applies company policies and procedures to resolve a variety of issues.

- Determines a course of action based on guidelines.

- Modifies processes and methods as required.

- Works on assignments of moderate scope where problem solving requires application of learned techniques.

- Builds productive working relationships internally and externally.

- Provides standard professional guidance and collaborates to resolve mutual problems.

- Works autonomously and receives little instruction on day-to-day work/new assignments.

- Exercises judgment within defined procedures and practices to determine appropriate action.

Experience / Education :

- Typically requires a Bachelor's degree and a minimum of 2 years of related experience; or an advanced degree without experience; or equivalent work experience.

Position Responsibilities :

- Design and implement automation solutions : Utilize UI Path to develop and deploy automation workflows that enhance business processes and improve operational efficiency.

- Apply AI/GenAI technologies : Leverage AI and Generative AI technologies to create innovative solutions that solve complex problems and drive business value.

- Develop and deploy ML models : Create and implement ML models for data segmentation, ensuring high accuracy and performance.

- Establish and manage MLOps frameworks : Develop and maintain robust MLOps pipelines to streamline the deployment and monitoring of ML models.

- Collaborate with OpenAI : Work with OpenAI technologies to integrate generative AI capabilities into existing workflows and develop new applications.

- Continuous improvement : Stay updated with the latest advancements in AI/automation technologies and incorporate best practices into ongoing projects.

- Documentation and reporting : Create comprehensive documentation for all automation processes, ML models, and MLOps frameworks.

- Report on project progress and outcomes to stakeholders.

- The listed responsibilities are an essential but not exhaustive list of the usual duties associated with the position.

- Changes to individual responsibilities may occur due to business needs.

Preferred Experience / Education / Skills :

Educational background : Bachelor's degree in Computer Science, Engineering, or a related field.

Master's degree is a plus.

Experience : Minimum of 3-5 years of experience in automation engineering, with specific expertise in UI Path and Machine Learning.

Technical skills :

- Proficiency in AI/GenAI technologies and frameworks.

- Experience with machine learning models and MLOps practices.

- Familiarity with OpenAI and its applications in generative AI.

- Strong programming skills in Python, R, or Java.

Soft skills : Excellent problem-solving abilities, strong analytical thinking, and effective communication skills.

Team player : Ability to work collaboratively in a cross-functional team environment and manage multiple projects simultaneously.

Adaptability : Willingness to learn new technologies and adapt to changing project requirements.