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Principal ML/AI Engineer

Location: United States

Notice

This position is no longer open.

Job Number: 31309

Position Title: Principal Machine Learning Engineer

External Description:

Job Summary  

The data science group, known as CLAIRE, is a rapidly expanding group responsible for developing AI/ML-based solutions that radically improve a wide variety of Informatica’s products. We are seeking a principal AI/ML engineer to join the group.  

As a principal AI/ML engineeryou will be responsible for developing ML models and using them to radically improve Informatica’s data management products that impact thousands of enterprise customers. You will research techniques to use deep learning and other cutting-edge ML/NLP methods.  

In the role of principal AI/ML engineeryou must be able to work and adapt in a fluid, fast-paced environment. You must have strong technical, communication, collaboration, and leadership skills. We need independent thinkers who can operate with minimal guidance from product managers and architects. Ideally, you should have experience in using ML to improve commercially successful products in either enterprise or consumer space. You can work with structured and unstructured datasets, and extract business insights from them. You provide AI thought leadership and effectively drive innovation in our products. 

Technology You’ll Use: 

  • Python, Java, or Scala 
  • ML frameworks and libraries such as TensorFlow, Keras, MLlib  
  • Distributed processing frameworks such as Spark  

What You’ll Do 

  • Lead the end-to-end design and development of machine learning solutions for the Informatica Enterprise Intelligent Data Platform 
  • Research and implement machine learning algorithms into services and pipelines to be consumed at web-scale 
  • Help build common AI/ML components such as central discovery service, training frameworks, metadata knowledge graph, data infrastructures for accelerating the development of AI/ML components 
  • Champion and communicate the value proposition and differentiation of AI/ML to internal audiences 
  • Build AI/ML expertise in the engineering division 
  • Collaborate with academia and the research community.  
  • Hiring strong and diverse talent to strengthen the team.  

Key Essentials 

  • MS or above in Computer Science or related fields with a focus on artificial intelligence, machine learning or data mining. 
  • 3-4 years of meaningful experience in building and deploying models in production use  
  • Experience with supervised and unsupervised machine learning algorithms 
  • Expert level programming skills in Python, Java, or Scala 
  • Expert experience with ML frameworks and libraries like TensorFlow, Keras, MLlib (Spark)  
  • Ability to learn new technologies quickly and mentor other team members in machine learning 
  • Strong analytical and interpersonal skills  

What Does Success Look Like? 

  • You'll be a key component to us implementing our AI/ML vision 
  • You'll be a natural mentor, mentoring other teammates, while promoting a culture of fun and success 
  • Your experience will help us build great quality software with the right development practices 

 

Nice to Have 

  • Experience working with distributed processing frameworks. 
  • Experience working with Kubernetes and cloud-native cloud-first platforms 

 

City: City

State:

Seniority Level: Mid-Senior Level

Alternative Location(s) :

Community / Marketing Title: Principal ML/AI Engineer

Remote LinkedIn Hashtag:

LinkedIN Hashtag: LI-SD1

Company Profile:

EEO Employer Verbiage:

At Informatica we know diversity drives innovation. We are proud to be an Equal Opportunity Employer dedicated to maintaining a work environment free from discrimination, one where all employees are treated with dignity and respect. All qualified applicants will receive consideration for employment without regard to race, color, gender, sex, sexual orientation, marital status, religion, age, disability, gender identity, veteran status or any other characteristic protected by applicable law and Informatica policy.

Travel Requirement: Limited

Location_formattedLocationLong: City, US

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