HR MIND Services LLP (Part of Profilers Group) | Hiring | Sr. Data Science Professional | BigDataKB.com | 2022-09-06

Job Location: Gurgaon/Gurugram, Bangalore/Bengaluru

Job Description

MAIN TASKS AND RESPONSIBILITIES:

  • Take part in requirements analysis, tasks estimation.
  • Suggest technical and functional improvements to add value to the product.
  • Research and evaluate technical options to implement business requirements.
  • Deliver highly optimized, documented, clean and maintainable ML models and suggesting technical and functional improvements to add value to the product.

EDUCATION, SKILLS AND EXPERIENCE:

  • Total 10-14 years experience
  • 6+ years working extensively with modern NLP tools and techniques.
  • 8+ years of production experience with Python
  • Strong knowledge and practical experience in Natural Language Processing (NLP) area, i.e. TF-IDF, word embedding, Word2vec, Transformers, BERT;
  • Experience with Pandas, NumPy, SKLearn, Scikit-learn
  • Experience with following neural network architectures: LSTM, GRU and other RNN-based, XLM-RoBERTa
  • Strong practical experience with NLP frameworks: fastText, spaCy;
  • Expertise with any of the following: PyTorch, Keras, Tensorflow, MXNet
  • Good knowledge in machine learning i.e. clustering algorithms, dimensionality reduction (PCA, t-SNE). A good foundation in basic statistics and linear algebra;
  • Experience with Pandas, NumPy, SKLearn, Scikit-learn
  • Expertise with multiple deep learning models (CNNs, LSTM, ResNet, YOLO, MobileNet, etc.).
  • Expertise with any of the following: PyTorch, Keras, Tensorflow, MXNet
  • Understanding state-of-the-art CV approaches for problems like object detection/tracking, video analysis, semantic segmentation, pose estimation, optical character recognition
  • Strong knowledge in computer vision fundamentals i.e. OpticalFlow, HOG, feature detection algorithms, Hough Transform, Haar Cascades, Homography, Morphology, Denoising/Deblurring, and image processing algorithms.
  • Experience with OpenCV
  • Neural networks optimization (quantization, fusing, folding)
  • At least Upper-Intermediate level of English.

WOULD BE A PLUS:

  • Awareness of CRISP-DM process model
  • Understanding SOTA approaches for machine learning problems like unsupervised / semi-supervised learning.
  • Experience with Docker, Git
  • Experience with Clouds services (AWS, Azure, Google Cloud)
  • MSBS degree in Computer Science, Mathematics or other engineering subject

Apply Here

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