AI Engineer

AI Engineer

Job Title: AI Engineer

Your Role:

Experience in developing Generative AI, 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 ML Ops, 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.

Good in 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.

You're the right fit if:

Masters in Computers, Electronics, Electrical Engineering or Ph.D. in relevant streams.

Around 2 years of experience in Data Handling, Data Analytics, AI Modeling or equivalent.

Strong analytical, problem solving and communication skills.