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19 Level AI Jobs
Senior Machine Learning Engineer
Level AI
posted 3+ weeks ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
Level AI was founded in 2019 and is a Series C startup headquartered in Mountain View, California. Level AI revolutionizes customer engagement by transforming contact centers into strategic assets. Our AI-native platform leverages advanced technologies such as Large Language Models to extract deep insights from customer interactions. By providing actionable intelligence, Level AI empowers organizations to enhance customer experience and drive growth. Consistently updated with the latest AI innovations, Level AI stands as the most adaptive and forward-thinking solution in the industry.
Empowering contact center stakeholders with real-time insights, our tech facilitates data-driven decision-making for contact centers, enhancing service levels and agent performance. As a vital team member, your work will be cutting-edge technologies and will play a high-impact role in shaping the future of AI-driven enterprise applications. You will directly work with people whove worked at Amazon, Facebook, Google, and other technology companies in the world. With Level AI, you will get to have fun, learn new things, and grow along with us. Ready to redefine possibilitiesJoin us!
Well love to explore more about you if you have
- Qualification: B.E/ B.Tech/M.E/M.Tech/PhD from tier 1 engineering institutes with relevant work experience with a top technology company in computer science or mathematics-related fields with 3-5 years of experience in machine learning and NLP.
- Knowledge and practical experience in solving NLP problems in areas such as text classification, entity tagging, information retrieval, question-answering, natural language generation, clustering, etc.
- 3+ years of experience working with LLMs in large-scale environments.
- Expert knowledge of machine learning concepts and methods, especially those related to NLP, Generative AI, and working with LLMs.
- Knowledge and hands-on experience with Transformer-based Language Models like BERT, DeBERTa, Flan-T5, Mistral, Llama, etc.
- Deep familiarity with internals of at least a few Machine Learning algorithms and concepts.
- Experience with Deep Learning frameworks like Pytorch and common machine learning libraries like scikit-learn, numpy, pandas, NLTK, etc.
- Experience with ML model deployments using REST API, Docker, Kubernetes, etc.
- Knowledge of cloud platforms (AWS/Azure/GCP) and their machine learning services is desirable.
- Knowledge of basic data structures and algorithms.
- Knowledge of real-time streaming tools/architectures like Kafka, Pub/Sub is a plus.
Your role at Level AI includes but is not limited to
- Big picture: Understand customers needs, innovate and use cutting edge Deep Learning techniques to build data-driven solutions.
- Work on NLP problems across areas such as text classification, entity extraction, summarization, generative AI, and others.
- Collaborate with cross-functional teams to integrate/upgrade AI solutions into the company s products and services.
- Optimize existing deep learning models for performance, scalability, and efficiency.
- Build, deploy, and own scalable production NLP pipelines.
- Build post-deployment monitoring and continual learning capabilities. Propose suitable evaluation metrics and establish benchmarks.
- Keep abreast with SOTA techniques in your area and exchange knowledge with colleagues.
- Desire to learn, implement and work with latest emerging model architectures, training and inference techniques, data curation pipelines, etc.
To learn more visit : https://thelevel.ai/
Funding : https: / / www.crunchbase.com / organization / level-ai
LinkedIn : https: / / www.linkedin.com / company / level-ai /
Employment Type: Full Time, Permanent
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What people at Level AI are saying
What Level AI employees are saying about work life
based on 6 employees
Flexible timing
Monday to Friday
No travel
Day Shift
Level AI Benefits
Team Outings 
Work From Home 
Education Assistance 
Soft Skill Training 
Health Insurance 
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