Machine Learning Engineer (IIT/NIT Mandatory)

About the Role

• As a ML Expert and experience in Data Scientist, you will be working in a fast-paced environment which needs a mindset of a startup and an entrepreneur that is not hesitant to constantly shift gears, test and learn. You will be part of the company R&D (Research and Development) in AI, and you will be working with stakeholders using Agile and Design Thinking Methodologies. Together with the R&D (Research and Development) you will deliver everything from state-of-the-art solutions to quicker value proving solutions.

Key Responsibilities

• Participate in the entire application life cycle, focusing on coding and debugging
• Responsible for developing in-house OCR Solutions
• A solid engineering background with hands - on experience developing computer vision solutions.

Must have work Experience

• Required 5-8 of years Relevant Experience in Python and ML.
• Hands-on experience web frameworks like Django, OR Flask framework

Qualification & Functional Skills

• B.tech from IIT/NIT mandatory
• Ability to work independently, without direct supervision.
• Strong analytical skills and solid mathematical foundation.
• Experience in setting up supervised & unsupervised learning Client/NLP models including data cleaning, data analytics, feature creation, model selection & ensemble methods, performance metrics & visualization, data science.
• Experience in prediction using Machine Learning and Deep Learning.
• Hand on experience in feature extraction techniques (GMM, HMM etc)
• Hand on experience with machine learning techniques such as deep neural nets (DNN, CNN, LSTM-RNN)
• Knowledge of Text Analytics with a strong understanding of NLP algorithms and models (SVM, PCA, NB, Clustering, DTs, etc) and their underlying computational and probabilistic statistics.
• Excellent knowledge and demonstrable experience in using open-source NLP packages such as NLTK, Word2Vec, SpaCy, Gensim, Stanford CoreNLP.
• Experience in designing and developing enterprise-scale NLP solutions in one or more: Named Entity Recognition, Document Classification, Document Summarization, Topic Modelling, Dialog Systems, Sentiment Analysis, OCR text processing.
• Strong knowledge of Python, Generative AI, LLM, RAG (Retrieval-Augmented Generation), AI Agents, Prompt Engineering, Overall Computer Vision, MLOps, AWS Sagemaker, Azure ML Studio, Google Vertex AI.
• Knowledge of Docker,OpenCV/PILLOW and frameworks like Keras/PyTorch/Tensorflow.