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Data Scientist

2 weeks ago

Gurgaon, Haryana, India KPMG Full time ₹ 15,00,000 - ₹ 20,00,000 per year

Key responsibilities include:

1.AI Model Development:

  • Design, develop, and implement machine learning models and algorithms that address specific business challenges, leveraging Generative AI, NLP, and other AI technologies.
  • Develop and fine-tune advanced AI models, including deep learning models, to improve performance and accuracy across various use cases.
  • Experiment with and apply state-of-the-art techniques in Generative AI (e.g., GPT, GANs) to create innovative solutions for complex problems.

2.NLP and Text Analytics:

  • Develop NLP models for tasks such as sentiment analysis, entity recognition, text summarization, and language translation.
  • Work on text processing pipelines, including tokenization, stemming, lemmatization, and vectorization techniques.
  • Implement NLP solutions using frameworks such as SpaCy, BERT, GPT, and other transformer models.

3.Data Analysis and Feature Engineering:

  • Conduct exploratory data analysis (EDA) to understand data patterns and relationships.
  • Engineer and select features that improve the performance of AI models, using domain knowledge and statistical techniques.
  • Handle large datasets, ensuring data quality, consistency, and completeness for model training and evaluation.

4.Collaboration and Cross-Functional Work:

  • Collaborate with AI engineers, data engineers, and product managers to translate business requirements into technical solutions.
  • Work closely with stakeholders across KPMG member firms to understand their needs and ensure the AI solutions meet business objectives.
  • Participate in code reviews, share best practices, and mentor junior data scientists to foster a collaborative and high-performance environment.

5.Model Deployment and Optimization:

  • Deploy AI models in production environments, ensuring they are scalable, reliable, and maintainable.
  • Continuously monitor model performance, retraining and updating models as necessary to maintain accuracy and relevance.
  • Optimize models for performance, speed, and resource efficiency, particularly when working with cloud platforms such as Azure.

6.Research and Innovation:

  • Stay up-to-date with the latest advancements in AI, ML, NLP, and related fields, applying new methodologies to enhance existing models.
  • Conduct research to identify new AI use cases and opportunities for innovation within KDN AI Foundry.
  • Publish findings, contribute to technical documentation, and present insights to stakeholders and at industry conferences.

7.Data Governance and Security:

  • Ensure all AI models and data processing activities comply with KPMGs data governance policies and industry regulations.
  • Implement best practices for data privacy, security, and ethical AI, particularly when handling sensitive and confidential data.

Work experience

  • 7+ years of experience in data science, with a focus on AI, ML, and NLP technologies.
  • Proven track record of developing and deploying AI/ML models in production environments.
  • Hands-on experience with AI frameworks and libraries such as TensorFlow, PyTorch, Keras, and transformer models like BERT and GPT.
  • Experience working with large datasets, data preprocessing, and feature engineering.

Skills

  • Strong proficiency in programming languages such as Python, R, or Scala, with a focus on AI/ML libraries.
  • Deep understanding of machine learning algorithms, statistical methods, and NLP techniques.
  • Familiarity with cloud platforms (e.g., Azure, AWS) and big data technologies (e.g., Hadoop, Spark).
  • Excellent problem-solving skills and the ability to work independently and as part of a team.
  • Strong communication skills, with the ability to present complex technical concepts to non-technical stakeholders.