Technical Lead--Gen AI Data science

6 days ago


Hinjawadi Pune Maharashtra, India Birlasoft Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Country/Region: IN

Requisition ID: 30302

Work Model:

Position Type:

Salary Range:

Location: INDIA - PUNE - BIRLASOFT OFFICE - HINJAWADI

Title: Technical Lead-Gen AI Data science

Description:

Area(s) of responsibility

Gen ai data science

  • Must have 6+ years of experience working in Data science, Machine learning and especially NLP technologies.
  • Exposure to various LLM technologies and solid understanding of Transformer Encoder Networks.
  • Able to apply deep learning and generative modeling techniques to develop LLM solutions in the field of Artificial Intelligence.
  • Utilize your extensive knowledge and expertise in machine learning (ML) with a focus on generative models, including but not limited to generative adversarial networks (GANs), variational autoencoders (VAEs), and transformer-based architectures.
  • Solid understanding of Model development, model serving, training/re-training techniques in a data sparse environment.
  • Very good understanding of Prompt engineering techniques in developing Instruction based LLMs.
  • Must be able to design and implement state-of-the-art generative models for natural language processing (NLP) tasks such as text generation, text completion, language translation, and document summarization.
  • Work with SAs and collaborate with cross-functional teams to identify business requirements and deliver solutions that meet the customer needs.
  • Passionate to learn and stay updated with the latest advancements in generative AI and LLM.
  • Nice to have -contributions to the research community through publications, presentations, and participation in relevant conferences or workshops.
  • Evaluate and preprocess large-scale datasets, ensuring data quality and integrity, and develop data pipelines for training and evaluation of generative models.
  • Ability to articulate to business stakeholders on the hallucination effects and various model behavioral analysis techniques followed.

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