Engineer - AI /ML Engineer with Python (2 to 4yrs exp)

Silicon Labs (NASDAQ: SLAB) is the leading innovator in low-power wireless connectivity, building embedded technology that connects devices and improves lives. Merging cutting-edge technology into the world’s most highly integrated SoCs, Silicon Labs provides device makers the solutions, support, and ecosystems needed to create advanced edge connectivity applications. Headquartered in Austin, Texas, Silicon Labs has operations in over 16 countries and is the trusted partner for innovative solutions in the smart home, industrial IoT, and smart cities markets. Learn more at www.silabs.com.

The Role

We are seeking a skilled AI Developer with expertise in Robotic Process Automation (RPA) to join our dynamic team. The ideal candidate will be responsible for designing, developing, and implementing AI-driven solutions and RPA processes to enhance operational efficiency, streamline workflows, and drive innovation across the organization. The successful candidate will possess strong technical skills, an analytical mindset, and the ability to work collaboratively within a multidisciplinary team.

Responsibilities:

• AI Development:
  • Design, develop, and deploy AI models using machine learning, deep learning, and natural language processing techniques.
  • Collaborate with cross-functional teams to identify opportunities for AI implementation and integration into existing systems.
  • Optimize and maintain AI models for performance and accuracy while scaling solutions as required.
• Collaboration & Communication:
  • Work closely with business analysts and stakeholders to gather requirements, provide updates on project status, and ensure alignment with business objectives.
  • Educate and train team members and end-users on the use of AI and RPA solutions.
• Documentation & Reporting:
  • Create and maintain technical documentation related to AI models, RPA processes, and deployment plans.
  • Generate reports on automation impact and AI performance metrics for management review.
• Continuous Improvement:
  • Keep abreast of industry trends, emerging technologies, and best practices in AI and RPA.
  • Recommend enhancements and innovations to improve existing systems and processes.

Skills you will need

• Bachelor’s degree in computer science, Data Science, Engineering, or a related field; a master’s degree is a plus.
• One year of Proven experience in AI development (machine learning, deep learning, NLP) and proficiency with relevant programming languages (e.g., Python, R, Java).
•  Minimum 2 years of Hands-on experience with RPA tools - Automation Anywhere.
• Strong understanding of data structures, algorithms, and software development methodologies.
• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI/RPA services are a plus.
• Excellent problem-solving skills and the ability to work independently and collaboratively in a team environment.
• Strong communication skills, both written and verbal, with the ability to explain complex concepts to non-technical stakeholders.

Preferred skills

• Experience integrating AI solutions with RPA tools and workflows.
• Knowledge of additional programming languages (e.g., C#, JavaScript) and database management (SQL).
• Certifications in AI (e.g., Google AI, Microsoft AI) and RPA (e.g., UiPath Certified Professional) are highly regarded. 

Good to have:

• Develop, test, and deploy RPA robots to automate repetitive tasks and workflows using RPA tools - Automation Anywhere.

Benefits & Perks

Not only will you be joining a highly skilled and tight-knit team where every engineer makes a significant impact on the product; we also strive for good work/life balance and to make our environment welcoming and fun.

• Equity Rewards (RSUs)

• Employee Stock Purchase Plan (ESPP)

• Insurance plans with Outpatient cover

• National Pension Scheme (NPS)

• Flexible work policy

• Childcare support

Silicon Labs is an equal opportunity employer and values the diversity of our employees. Employment decisions are made on the basis of qualifications and job-related criteria without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status, or any other characteristic protected by applicable law.