ML Engineer

Full time @Pooja Chahar in Data Science & Big Data
  • India View on Map
  • Salary: ₹3,500,000.00 - ₹4,500,000.00 / Yearly
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Job Detail

  • Experience 5 - 8 years

Job Description

About Company: An early-stage startup with a global delivery center based in Ahmedabad and a team of more than 30 people.

Responsibilities:
● Utilize proven hands-on experience with transformer architectures to design, train, and
customize models for LLM. Apply your expertise in ML to Implement and customize
generative AI architectures towards various tasks such as text summarization,
classification, etc.
● Develop NLP based solutions for use cases defined by product leadership.
● Gather and prepare data for training and evaluation.
● Work with stakeholders to understand their needs and requirements and be able to propose
and manage the product roadmap.
● Collaborate with cross-functional teams to develop and deploy innovative solutions that
leverage generative AI
● Explore new developments in the domain and technologies to define the technical stack for
the applications.
Requirements:
● Bachelor’s degree in Computer Science or a related field
● Proven hands-on experience with transformer architectures, including design, training, and
customizing LLMs for various downstream tasks.
● Demonstrable experience in ML with solving problems in NLP. Minimum of 2 years of coding
experience in Python.
● Minimum of 2 years of experience in ML and NLP. Ability to think independently and solve
complex problems effectively in these areas.
● Experience with SQL
● Excellent problem-solving and analytical skills
● Strong communication and interpersonal skills, with the ability to collaborate effectively with
cross-functional teams.

Additional Skills:
● The ability to work independently and as part of a team
● The ability to work under pressure and meet deadlines
● The ability to learn new technologies quickly
● The ability to communicate effectively with technical and non-technical audiences

Skills:
● ML, NLP, GPT, LLM, Jupyter Notebooks , TensorFlow, PyTorch, Scikit-learn, SQL.

Educational Background:
Undergraduate degree in Computer Science, Machine Learning or Artificial Intelligence major is
preferred

Required skills

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