Ml & Ai Transformer - Gurugram, Haryana, India - Parentune

Parentune
Parentune
Verified Company
Gurugram, Haryana, India

3 days ago

Deepika Kaur

Posted by:

Deepika Kaur

beBee Recuiter


Description

x
ML & AI Transformer


Location:
Gurgaon


Experience:
Currently pursuing a degree in Computer Science, Engineering, or related field


Reporting to:
Engineering Manager


About the role

  • We are seeking a highly motivated and talented individual to join our ML & AI team as an intern. This internship offers an excellent opportunity to gain handson experience in ML & AI technologies while working on realworld projects under the guidance of experienced professionals. The intern will have the opportunity to contribute to various stages of the ML & AI development lifecycle and collaborate with crossfunctional teams to deliver unique and impactful solutions.

Desired Profile

  • Takes pride in their work, committed to meeting deadlines and producing highquality code.
  • Technically Handson, prior experience with scalable Architecture.
  • Coaching, and mentoring of the team.

Skills, Experience & Qualifications

  • Assist in the development, implementation, and optimization of machine learning algorithms and models.
  • Conduct research and experiments to explore new ML & AI techniques and technologies.
  • Collect, preprocess, and analyze data to derive meaningful insights and drive decisionmaking.
  • Evaluate and benchmark the performance of ML models using appropriate metrics and tools.
  • Proficiency in programming languages commonly used in ML & AI development, such as Python, TensorFlow, PyTorch,Keras or similar.
  • Experience with data manipulation and analysis using libraries like NumPy, Pandas, or equivalent.
  • Familiarity with common ML & AI frameworks and tools for model development, deployment, and accuracy monitoring of models like LLaMA, Open AI, Zephyr etc.
  • Familiarity with version control systems (e.g., Git)
  • Excellent communication and teamwork ability

Nice to have

  • Familiarity with GCP/AWS cloud.
  • Rest Framework
  • Bigquery,Snowflake, Redshift.
  • Projects undertaken which are based on LLM

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