Sr. Data Scientist

1 week ago

Noida, Uttar Pradesh, India Software Engineering Firm Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Position Gen AI Developer/ Data Scientist

Experience - 5 to 12 Years

Location Noida

Job Description

We are looking for a talented and polite Generative AI Developer to join our team who will come with the mindset of fulfilling a developer position only and be able to work in a team environment. As a Generative AI Developer, you will be at the forefront of developing and deploying cutting-edge Gen AI solutions, leveraging the power of Agentic mechanism, prompt engineering, RAG (traditional & Graph DB) and fine tuning large language models (LLMs) like GPT-4, Llama 3, 3.1 etc. Your primary focus will be on backend development using Django & Flask (both must skills) frameworks to create robust and scalable applications. He/ She should be able to discuss backed feature design with the Lead Scientist/ Project Lead and come up with the best solution.

Key Responsibilities

  • Modelling & Fine-Tuning
  • Fine-tuning large language models (LLMs) to generate high-quality text, code, and other creative content.
  • Using prompt engineering, few-shot learning, Agentic mechanism, RAG, Graphical RAG and other best approaches for achieving the solution.
  • Have extensive experience with Vector DB, similarity searching and embeddings model. Should be able to handle the context length challenge in embedding generation and saving.
  • Knows avatar generation from scratch and adding lip sync and gesture using open source pre trained models
  • Knows ASR and able to implement this in a full 2-way LLM based chat/ communication system.
  • Backend Development
  • Design and implement robust backend services and APIs using Flask or Django to integrate AI models into applications.
  • Optimize API performance and scalability to handle high traffic loads along with the standard rendering time implementation.
  • Ensure data privacy and security by implementing appropriate measures.
  • AI Integration
  • Collaborate with cross-functional teams to understand business requirements and integrate AI solutions effectively.
  • Leverage cloud-based AI platforms like Azure Cognitive Services or AWS Sagemaker, bedrock, Lambda and other related AI services to accelerate development and deployment.
  • Model Deployment and Monitoring
  • Deploy AI models to production environments, ensuring high availability and reliability.
  • Knowledge of MLOps & LLMOps (Optional but should have knowledge about it)
  • Monitor model performance and identify areas for improvement.
  • Retrain and redeploy models as needed to maintain optimal performance.
  • Research and Innovation
  • Should be updated with current advancements in LLM space and be able to create POC in a day or two based on lead's guidance.
  • Explore new techniques and tools to improve the capabilities of our AI systems.
  • Contribute to research projects and publications in the field of AI.

Required Skills and Qualifications

  • Strong proficiency in Python programming.
  • Experience with large language models (LLMs) like GPT-4, 4o, Llama 3, 3.1.
  • Deep understanding of natural language processing (NLP) techniques, including text generation, summarization, and translation.
  • Proficiency in backend development using Flask or Django frameworks.
  • Familiarity with cloud services like AWS, Azure, GCP.
  • Strong problem-solving and analytical skills.
  • Excellent communication and collaboration skills.

Preferred Qualifications

  • Experience with machine learning frameworks like TensorFlow or PyTorch.
  • Knowledge of data engineering and data pipelines.
  • Experience with MLOps, LLMOps and DevOps practices.
  • A passion for AI and a desire to push the boundaries of innovation.

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