Senior Book Designer

Department Icon Data Science Analytics & Machine Learning
Posted: 1 year ago
2-4 years
Chennai, Tamil Nadu
Data Science Analytics & Machine Learning
Work from Office
Full Time

Posted: 1 year ago
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Posted over 15 days ago, so the role may have closed. Confirm on the employer's page when you apply, or see similar jobs.

Job Description

Responsibilities:

  1. Design and build machine learning models, with a focus on largelanguage models (LLMs) like GPT, BERT, or open-source alternatives.
  2. Develop recommendation systems for venue suggestions, package customization, and other wedding services.
  3. Implement generative AI solutions for content creation, design suggestions, and customer engagement.
  4. Work with raw, unstructured data from diverse sources to clean, preprocess, and structure it for AI/ML applications.
  5. Build and maintain pipelines for real-time and batch data processing.
  6. Deploy AI models in production using cloud-based tools (AWS SageMaker, GCP Vertex AI, etc.).
  7. Optimize model performance for accuracy, scalability, and cost-effectiveness.
  8. Explore and integrate state-of-the-art AI/ML techniques to address business challenges.
  9. Collaborate with cross-functional teams (product, design, operations) to understand requirements and deliver AI-powered features.

Qualifications:

  • Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or a related field.
  • 2+ years of experience in AI/ML, withhands-on expertise in deploying models.

Technical Skills:

  1. Proficiency in Python and ML frameworkslike TensorFlow, PyTorch, or Hugging Face Transformers.
  2. Experience with LLMs(fine-tuning and deploying models like GPT-3, GPT-4, Llama, or similar).
  3. Familiarity with recommendation systems,generative AI models, and NLP techniques.
  4. Knowledge of MLOps practices(CI/CD, Docker, Kubernetes).
  5. Cloud expertise(AWS, GCP, or Azure).

Soft Skills:

  • Strong problem-solving abilitiesand a proactive approach to challenges.
  • Excellent communication skillsto translate complex AI concepts into actionable insights.
  • Ability to work independently in a startup environment.
Mandatory Pointers (Cant be neglected during screening) :-
  • Proficiency in Python and ML frameworks
  • Cloud expertise(AWS, GCP, or Azure).
  • Hands-on expertise in deploying models
  • Experience with LLMs

Skills

PythonData ScienceData ProcessingMachine LearningAi/mlAiMl

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