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Senior Machine Learning & AI Engineer

Job Category: Product Engineering
Location: India - Karnataka - Bangalore
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Meet Our Team:

As a member of one of the most innovative and fastest growing groups at Pega, you will work closely with talented engineers and product owners across the globe to build a highly Scalable Enterprise Software.


Picture Yourself at Pega:

  • Pega is changing the way the world builds software. Our goal is to be the no. 1 CRM SaaS company in the world. In this role you will be developing, testing, and deploying Large Language models (LLMs), NLP Models, Predictive models, Recommendation systems, and other analytical solutions.
  • This role involves leading end-to-end model development, from problem formulation to implementation, including MLOps practices.


What You'll Do at Pega:

  • Develop AI-based applications and algorithms
  • Design, test, and build software components for AI applications
  • Collaborate with data scientists on algorithm development
  • Create prototypes and proofs-of-concept for new ideas
  • Lead model development, implementation and deployment end-to-end incl. MLOps.  You will be driving problem formulation, modeling approach, implementation, testing, deployment and monitoring
  • Partner with product managers to drive productization of ideas into shippable solutions
  • Communicate effectively with technical and non-technical audiences


Who You Are:

  • 4-6 years of relevant experience with Python and ML libraries (e.g., scikit-learn, PyTorch).
  • Experience in building end-to-end machine learning solutions in NLP
  • Experience using, finetuning Generative AI models
  • Proficient in collaborative development tools and practices (GitHub, CI/CD, DevOps)
  • Strong communication and project leadership abilities
  • Teamwork and collaboration skills



What You've Accomplished:

  • 4 - 6 years of development experience preferably in a product development company.
  • Strong knowledge of programming language like Python, Java
  • Need to be strong problem solver and critical thinker.
  • In-depth knowledge of machine learning, statistical modeling, and optimization.
  • Proficiency with DNN frameworks (e.g., TensorFlow, PyTorch) and big data sets.
  • Familiarity with Git, Docker, Kubernetes.
  • Good Communication skills.
  • Experience working on Kubernetes/Cloud architected solutions would be an added advantage.
  • Experience with cloud-based orchestration technologies, e.g. Airflow, KubeFlow, etc.



Pega Offers You:

  • Gartner Analyst acclaimed technology leadership across our categories of products
  • Continuous learning and development opportunities
  • An innovative, inclusive, agile, flexible, and fun work environment
  • Competitive global benefits program inclusive of pay + bonus incentive, employee equity in the company


Job ID: 20450

Inclusion and Diversity – Inclusive is one of our values at Pega. Pegasystems is committed to inclusion and diversity and strives to foster a fair and inclusive environment for all. We believe Pega can achieve more when we create a culture that inspires each of us to fully contribute each and every day. We encourage diverse thinking and collaboration for better outcomes for all. Learn more about our inclusive culture.

We encourage candidates of all backgrounds and skillsets to consider opportunities at Pega. At Pega, we focus on the skills needed to be successful and we know that our employees can thrive even if they don't possess a traditional background. If you like the sound of this role, but are not sure if you are the right person, please consider applying. We would love to hear from you!

As an Equal Opportunity and Affirmative Action employer, Pegasystems will not discriminate in its employment practices due to an applicant's race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, veteran or disability status, or any other category protected by law.

Accommodations – If you require reasonable accommodations under the Americans with Disabilities Act (US only) or comparable regional regulations in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please contact us here or contact (US only) 1-888-PEGA-NOW and/or 225 Wyman Street Waltham, MA 02451 ATTN: Benefits.

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