Data Scientist - Generative AI Specialist

Data Scientist - Generative AI Specialist

Celsior Technologies (A division of Pyramid Consulting)

Trivandrum / Noida /Hyderabad

Minimum 3 Years

Data Scientist - Generative AI Specialist

This role demands a unique blend of advanced analytical skills, deep technical expertise in machine learning and NLP, and the ability to translate complex business challenges into innovative, scalable AI products. You will be a key collaborator, working closely with cross-functional teams and clients to deliver high-quality, ethical, and performant generative AI solutions for enterprise use cases.

About Celsior Technologies

data and insights, applied automation, and integrated security and network

Key Responsibilities

1. AI Solution Development

• Contribute to the design and implementation of state-of-the-art AI solutions, specifically leveraging

  Generative AI

  and

  LLM

  techniques.
• Assist in the development and implementation of AI models and systems, focusing on advanced architectures.
• Utilize generative AI techniques to develop innovative solutions for complex enterprise industry use cases.

2. Technical Implementation & Optimization

• Integrate with relevant APIs and libraries, such as

  Azure Open AI GPT models

  and

  Hugging Face Transformers

  , to leverage and enhance generative AI capabilities.
• Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing, model training, and deployment.
• Utilize

  vector databases

  (e.g., Redis) and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs.
• Implement

  similarity search algorithms

  and techniques (e.g.,

  RAG systems

  ) to enable efficient and accurate information retrieval.
• Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for Generative AI applications.

3. Research & Strategy

• Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges.
• Conduct research and evaluation of advanced AI techniques, including

  transfer learning

  ,

  domain adaptation

  , and

  model compression

  , to enhance performance and efficiency.

4. Collaboration, Evaluation & Ethics

• Collaborate with stakeholders to identify business opportunities and define AI project goals.
• Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases.
• Ensure compliance with data privacy, security, and ethical considerations in all AI applications.

Qualifications

Education & Experience

• B.E/M. Tech degree in Data Science, Computer Science, or a related quantitative field.

• Minimum 3 years

  of experience in data analysis, machine learning, and user experience optimization, preferably within the digital industry.

Technical Skills

• Proficiency in Python

  (essential) or R, or similar programming languages.

• Strong understanding of Natural Language Processing (NLP)

  and experience in training and deploying machine learning models for text analysis.

• Practical experience with Large Language Models (LLMs) and Generative AI concepts and implementation.

• Familiarity with cloud platforms (e.g.,

  Azure

  , AWS, GCP) and

  MLOps

  principles.
• Working knowledge of

  SQL

  and distributed computing frameworks (e.g.,

  Spark

  ) is a plus.

Soft Skills

• Excellent

  problem-solving and analytical skills

  .
• Effective

  communication and collaboration skills

  to work with cross-functional teams and clients.