SG Analytics

Senior Data Scientist ML & NLP expert

Job description

Research
Pune

JOB DESCRIPTION

Senior Data Scientist ML & NLP expert
Profession: Solution Development
Work Location: Pune -India
Schedule: Full-time
Description
As a Sr Data Scientist NLP & ML Expert, you will be working in a fast-paced environment which needs a mindset of a start-up and an entrepreneur that is not hesitant to constantly shift gears, test and learn.
You will be part of the SGA’s Data Science & AI group and you will be working with stakeholders by Agile and Design Thinking Methodologies, innovating and improving ESG industry with Data Science AI Technology. Together with the team, you will deliver everything from state-of-the-art solutions to quicker value proving solutions
What you will do:
  • Research, develop and evaluate advanced machine learning models for extracting and transform data from unstructured, semi-structured documents. Data will be present in various forms – Textual, images, tables, graphs etc.
  • Productionize the models
  • Stay up to date with tech, prototype with and learn new technologies, proactive in technology communities
  • Learn from peers in data science and engineering community
  • Deliver on time with a high bar on quality of research, innovation, and engineering
  • Responsible for Cognitive extraction, technology delivery and operating model setup
  • Develop innovative solutions in areas such as machine learning, computational linguistics, Natural Language Processing (NLP), advanced and semantic information search, extraction, induction, classification, and exploration
  • Develop & maintain Client & NLP Pipeline for Document Data Extraction semantics and sentiment processing and understanding
  • Create products that provide a great user experience along with high performance, security, quality, and stability
Qualifications
Who you are:
  • Master’s or PhD degree in STEM or AI/ML areas
  • 5+ years of professional experience as a data scientist or related roles
  • 3+ years of hands-on work experience in NLP and machine learning techniques such as deep neural network (CNN, RNN, ANN, LTSM neural networks) and 3+ years of work experience in software development
  • Experience in setting up supervised & unsupervised learning Client/NLP models including data cleaning, data analytics, feature creation, model selection & ensemble methods, performance metrics & visualization
  • Experience in prediction using Machine Learning and Deep Learning
  • 3+ years of experience working in Agile team environment
  • Experience working in a cloud environment (AWS, Azure, GCP) or a containerized environment (Mesos, Kubernetes)
  • Good understanding of the complexity of developing and productizing real-world AI/ML applications such as prediction, recommendation, computer vision, bots, NLP, sentiment, knowledge, and content intelligence, etc.
  • Knowledge of Text Analytics with a strong understanding of Client & NLP algorithms and models (GLMs, SVM, PCA, NB, Clustering, DTs) and their underlying computational and probabilistic statistics
  • Deep knowledge of some of the popular ML frameworks such as TensorFlow, Pytorch Keras, SparkML, scikit-learn, XGBoost, H2O etc
  • Designing and documenting data architecture at multiple levels (high-level to detailed) and across multiple views (conceptual, logical, physical, data flow and sequence diagrams)
  • Providing active hands-on architectural guidance and leadership through the entire lifecycle of development projects
  • Ability to translate business requirements into conceptual and detailed system architecture and technology solutions
  • Ability to develop and lead proof-of-concepts, deliver practical, working solutions
  • Experience in building modern Machine Learning platforms a big plus
  • Being a committer or a contributor to an open-source project is a plus
  • Design, implement and deploy scalable, distributed solutions to support real-time NLP data analytic platform using modern engineering principles and techniques
  • At least 4 years' experience building Machine Learning & NLP solutions over open-source platforms such as SciKit-Learn, TensorFlow, SparkML, Torch, Caffe, H2O
  • Excellent knowledge and demonstrable experience in using open-source NLP packages such as NLTK, Word2Vec, SpaCy, Gensim, Standford CoreNLP.
  • At least 2 years' experience in designing and developing enterprise-scale NLP solutions in one or more of: Named Entity Recognition, Document Classification, Document Summarization, Topic Modelling, Dialog Systems, Sentiment Analysis, OCR text processing

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