Required Skills: Python, ML frameworks like TensorFlow, PyTorch, or Hugging Face Transformers, Experience with LLMs, Cloud expertise (AWS, GCP, or Azure), MLOps practices

Work Mode : ONSITE

Description

ABOUT MERAGI:

Meragi is transforming India's $50 billion wedding industry. Our technology platform simplifies how couples plan and experience their dream wedding

Our mission is to create pioneering industry-first solutions that address the complexities of this industry, utilizing innovative technology to consult, design, and sell wedding services with a strong focus on ensuring high-quality fulfillment.

Backed by top-tier investors, we're passionate about creating unforgettable wedding experiences. Join our dynamic team and help us shape the future of the wedding industry!

Responsibilities:

1. Design and build machine learning models, with a focus on large language 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:

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or a related field.
• 2+ years of experience in AI/ML, with hands-on expertise in deploying models.

Technical Skills:

1. Proficiency in Python and ML frameworks like 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 abilities and a proactive approach to challenges.
• Excellent communication skills to translate complex AI concepts into actionable insights.
• Ability to work independently in a startup environment.