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Cornerstone provides an AI-powered Talent Experience Platform for unified content discovery, knowledge management, and personalized learning platform for your career journey. Our award-winning Platform is used globally by Fortune 500 companies and government organizations to solve content discovery, curation, and recommendation problems across external, internal, and tacit knowledge sources
In the Data Science and Machine Leaning team at Cornerstone we are looking for solid hands-on technologists with solid time-management skills and experience in highly autonomous roles. You also function effectively in a collaborative environment and are comfortable making independent decisions.
In this role, you will…
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Work with product and domain teams on future designs and features to ensure that what we want to build is feasible, well-thought-out, automated, secure, and operationally supportable ML platform
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Continuous integration/continuous deployment pipelines, cloud deployment/management strategies, and various levels of automation
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Interact with our clients on an as needed basis regarding technology issues, escalations, product support, and technology enhancements
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Lead and drive execution of new initiatives for Machine Learning using conversational NLP techniques and introduce ML-based learning for recommendation and coaching assistant in our products
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Manage and lead team of ML engineers in evaluating ML technologies, building/training models, deployment of models and monitoring in production environments.
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Work with the engineering teams and ensure timely deliveries.
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Be part of a global Engineering team supporting Fortune 1000 customers worldwide.
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Ability to experiment and iterate rapidly and provide tangible improvements in the overall engagement
You are…
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A driven team player, collaborator, and relationship builder whose infectious can-do attitude inspires others and encourages excellent performance in a fast-moving environment.
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Results orientated, motivated by success.
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Self-motivated: You can work with minimal supervision and be able to strategically prioritize multiple tasks proactively.
You’ve Got What It Takes If You Have…
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Master’s or bachelor’s degree in computer science or a related study or equivalent experience.
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12+ years of hands-on experience architecting and designing highly scalable and resilient systems.
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9+ years of experience in designing & scaling applications based on Data Science, NLP, and conversational AI
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6+ years of experience leading AI/ML initiatives in Tier 1 companies
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Understanding of ML algorithms – classical and deep learning and ML frameworks
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Good understanding of system availability, security, and performance management.
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Strong experience with various coding/scripting technologies including and the life cycle management leveraging various frameworks (Agile, Lean, etc.)
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Excellent writing and verbal communication skills, including presentation skills and the ability to synthesize technical data for non-technical audiences
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An unwavering passion for providing exceptional customer service and continuous improvement
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Hands on work experience in
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PyTorch and its ecosystem of libraries
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Word and document embeddings
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Transformers and Attention
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RNN, LSTM,
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A background in BERT and its variants, transfer-learning practices
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NLP Libraries: NLTK, Genism, Spacy
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ML-pipelines – Apache Airflow/ Kubeflow/ RAY
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OpenAI libraries and Models – LLMs
Extra dose of awesome if you have work experience in…
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Tensorflow
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Big-data and PySpark
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Data wrangling libraries: Beautiful Soup or Scrapy
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R libraries
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Taking models to production
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Cloud Technologies: GCP/AWS
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ML Graph Models GNN and NetworkX
#LI-Hybrid #LI-RB1
Equal Employment Opportunity has been, and will continue to be, a fundamental commitment at Cornerstone OnDemand. All qualified applicants are given consideration regardless of race, color, gender, age, sexual orientation, national origin, marital status, citizenship status, disability, veteran status, or any other protected class as provided in applicable Federal, State, or Local fair employment laws. If you have a disability or special need that requires accommodation, please contact us at [email protected]
