Senior Machine Learning
2 months ago
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.
#LI-MC3
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
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