Hotfoot - Artificial Intelligence Engineer - NLP/Computer Vision

7 days ago


Chennai, India HOTFOOT TECHNOLOGY SOLUTIONS PRIVATE LIMITED Full time

Job Summary :


We are seeking an Artificial Intelligence Engineer with expertise in NLP and Computer Vision to join our team at Hotfoot Technology Solutions Private Limited.


The ideal candidate will have a strong background in machine learning, deep learning, and programming languages like Python.


Key Responsibilities :


- Design and implement machine learning and deep learning models for classification, regression, clustering, recommendation, etc.


- Build end-to-end AI pipelines from data ingestion and preprocessing to model deployment and monitoring.


- Develop NLP applications such as text classification, named entity recognition, summarization, and chatbot engines.


- Work with libraries like spaCy, Hugging Face Transformers, or NLTK to extract insights from unstructured text data.


- Implement image classification, object detection, OCR, and facial recognition systems using frameworks like OpenCV and Preprocess and analyze large datasets using efficient data pipelines.


- Integrate AI models with APIs, cloud platforms, and production systems.


- Tune hyperparameters, evaluate performance, and optimize models for scalability and accuracy.


- Use A/B testing and monitoring frameworks to measure model :


- Proficiency in Python (must-have); experience with R, Java, or C++ is a plus.


- Hands-on experience with Scikit-learn, XGBoost, LightGBM, or similar frameworks.


- Understanding of supervised, unsupervised, and reinforcement learning techniques.


- Experience with TensorFlow, PyTorch, or Keras for building and training neural networks.


- Knowledge of CNNs, RNNs, Transformers, and GANs.


- Practical knowledge of spaCy, Transformers (Hugging Face), BERT/GPT, NLTK, or Gensim.


- Experience with OpenCV, YOLO, Detectron2, or similar tools.


- Strong command of Pandas, NumPy, SQL.


- Familiarity with AWS SageMaker, Azure ML, Google AI Platform, or on-prem AI Qualifications :


- Masters degree or higher in Computer Science, AI, Data Science, or related fields.


- Experience deploying models to production using FastAPI, Flask, or Streamlit.


- Exposure to MLOps, model monitoring, and explainability tools like SHAP or LIME.


- Knowledge of vector databases (e.g., FAISS, Pinecone) and retrieval-augmented generation (RAG).


- Familiarity with graph neural networks (GNNs) or time-series modeling is a plus.


Soft Skills :


- Excellent problem-solving and critical-thinking abilities.


- Strong communication skills and a team-first attitude.


- Comfortable working in a fast-paced and iterative development environment


(ref:hirist.tech)

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