Generative AI Engineer

4 weeks ago

Gurugram, India EXL Full time

Job Description:

As a Senior Data Scientist, you will drive data science initiatives from conception to deployment, crafting advanced ML models and providing mentorship to junior colleagues. Collaborate seamlessly across teams to integrate data-driven solutions and maintain data governance compliance. Stay abreast of industry trends, contribute to thought leadership, and innovate solutions for intricate business problems.

Responsibilities:

  • Lead and manage data science projects from conception to deployment, ensuring alignment with business objectives and deadlines.
  • Develop and deploy AI and statistical algorithms to extract insights and drive actionable recommendations from complex datasets.
  • Provide guidance and mentorship to junior data scientists on advanced analytics techniques, coding best practices, and model interpretation.
  • Design rigorous testing frameworks to evaluate model performance, validate results, and iterate on models to improve accuracy and reliability.
  • Stay updated with the latest advancements in data science methodologies, tools, and technologies, and contribute to the team's knowledge base through sharing insights, attending conferences, and conducting research.
  • Establishing and maintaining data governance policies, ensuring data integrity, security, and compliance with regulations.

Qualifications:

  • 5+ Years of prior analytics and data science experience in driving projects involving AI and Advanced Analytics.
  • 3+ Years Experience in Deep Learning frameworks, NLP/Text Analytics, SVM, LSTM, Transformers, Neural network.
  • In-depth understanding and hands on experience in working with Large Language Models along with exposure in fine tuning open source models for variety of use case.
  • Strong exposure in prompt engineering, knowledge of vector database, langchain framework and data embeddings.
  • Strong problem-solving skills and the ability to iterate and experiment to optimize AI model behavior.
  • Proficiency in Python programming language for data analysis, machine learning, and web development.
  • Hands-on experience with machine learning libraries such as NumPy, SciPy, and scikit-learn.
  • Experience with distributed computing frameworks such as PySpark and Dask.
  • Excellent problem-solving skills and attention to detail.
  • Ability to communicate effectively with diverse clients/stakeholders.

Education Background:

  • Bachelor’s in Computer Science, Statistics, Mathematics, or related field.
  • Tier I/II candidates preferred.

Folks with shorter notice period to be preferred.

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