Overview
Lead AI Engineering role for developing and deploying generative AI and machine learning solutions across cloud platforms.
What you'll do
- Implement and deploy regression and classification methods on AWS, GCP, and Azure.
- Use Python and SQL following standard practices and guidelines.
- Develop, fine-tune, and deploy generative AI models (e.g., GPT) for multiple applications.
- Build generative AI workflows for text generation, sentiment analysis, chatbots, and language translation using RAG and agent-based models.
- Evaluate generative AI model performance and implement improvements based on feedback.
- Ensure ethical and responsible AI by addressing bias, privacy, and fairness.
- Build front-end applications for generative AI input/output using Streamlit/Gradio/Flask/Fast.
What you'll need
- Experience with tokenization, embeddings, and deploying GPT, LLaMA, Huggingface, Mistral, and AWS Bedrock.
- Hands-on experience with the LangChain framework for GenAI.
- Ability to analyze data and generate insights for predictive modeling and data generation using generative AI techniques.
- Familiarity with evaluation metrics including inception score, Frechet inception distance, and perpetual path length.
- Experience integrating generative AI with product or services by collaborating with cross-functional teams.
- Programming proficiency in Python and SQL, plus frameworks such as LangChain.
- Experience with REST API and APIs using Flask API and Fast API.
Details
- Location: Bangalore.
- Work mode: Hybrid (India).
Read the full description and apply on the company’s own careers page.
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