Equinix
Location
Bangalore | India
Job description
Key Responsibilities
Research and implement appropriate AI algorithms and tools
Envision, implement, and deliver production-level Classical Machine Learning models(Regression, Classification, and clustering), NLP models (Sentiment, Summarization, Chatbot/QA, Info Retrieval), Computer Vision(Image Classification, Object Detection, Semantic Segmentation and Instance Segmentation using Yolo V7, DDRNet, RFTM using pre-trained datasets(Coco, Cityscapes)
Deploy ML models into production using cutting-edge deployment strategies, conduct A/B tests to objectively measure improvements
Keep innovating and optimizing the machine learning workflow, from data exploration, and model experimentation/prototyping to production
Apply cutting-edge technologies and toolchains in big data and machine learning to build a machine learning platform on Cloud (ML ops)
Building Features, running tests, performing statistical analysis, and interpreting test results
Proficient in any of the deep learning frameworks such as PyTorch, TensorFlow, Keras
Develop a model pipeline in a Developer environment, check in to Git, use GitHub actions, containerize the application, and deploy it to VM, App Engine, or K8 Cluster
Qualifications
1+ years with Ph.D. OR 2+ Years with a Masters OR 4+ Years with Bachelors in Data Science, Computer Science, or Machine Learning
Experience coding in Python (needed)
Excellent understanding of software engineering principles and design patterns
Experience in one of the cloud platforms
Ability to communicate the results of the analysis
Highly effective time management, communication, and organizational skills
Job tags
Salary