Your role:
- Experience in developing NLP algorithms, AI based Computer Vision applications
- Experience in NLP techniques for text representation (such as n-grams, bag of words, sentiment analysis etc), semantic extraction techniques, data structures and modeling
- Experience in using GenAI techniques like Auto encoders, Transformers, LLMs, RAG Architecture
- Experience and understanding of MLOps, AI algorithm inferencing and deployments on the Cloud (AWS, Azure or GCP)
- Excellent understanding of machine learning techniques and algorithms like k-NN, SVM, Random Forest, privacy models, etc.
- Experience in CV based Deep Learning models like Unet, YOLO etc
- Understanding exploratory data processing techniques such as cleaning and verifying the integrity of data used for analysis
- Understanding of state-of-the-art computer vision, NLP and AI for imaging algorithms
You're the right fit if:
- 7-10 years experience in AI and Data Science field
- Master's in computers, electronics, electrical engineering or PhD in relevant streams
- Good applied statistics skills, such as distributions, statistical testing, regression, etc.
- Experience in building and optimizing reactive and predictive models with Machine Learning techniques
- Experience with one or more analytic software tools or languages like Python, R
- Experience with machine learning frameworks, like Keras or PyTorch and Deep Learning based libraries for imaging
- Strong analytical, problem solving and communication skills