Principal Product Engineer

As an experienced professional in Product development and AI/ML or NLP solutions, you will be responsible for the following key responsibilities: - Possessing 5-7 years of experience in Product development and AI/ML or NLP solution development. - Demonstrating strong coding proficiency in Python with practical experience in libraries like FastAPI, Pandas, PyTorch, TensorFlow, or Transformers. - Having experience with LLM frameworks and a strong understanding of retrieval systems, embeddings, and vector databases. - Showcasing hands-on experience with RESTful API development, microservices, and containerized deployments (Docker/Kubernetes). - Familiarity with cloud AI services such as GCP Vertex AI (preferred) or AWS Bedrock, Azure OpenAI, etc. - Exposure to data pipelines, preprocessing, and production-grade model deployment. Qualifications required for this role include: - 5-7 years of experience in Product development and AI/ML or NLP solution development. - Strong coding proficiency in Python with practical experience in libraries like FastAPI, Pandas, PyTorch, TensorFlow, or Transformers. - Experience with LLM frameworks and a strong understanding of retrieval systems, embeddings, and vector databases. - Hands-on experience with RESTful API development, microservices, and containerized deployments (Docker/Kubernetes). - Familiarity with cloud AI services such as GCP Vertex AI (preferred) or AWS Bedrock, Azure OpenAI, etc. - Exposure to data pipelines, preprocessing, and production-grade model deployment. As an experienced professional in Product development and AI/ML or NLP solutions, you will be responsible for the following key responsibilities: - Possessing 5-7 years of experience in Product development and AI/ML or NLP solution development. - Demonstrating strong coding proficiency in Python with practical experience in libraries like FastAPI, Pandas, PyTorch, TensorFlow, or Transformers. - Having experience with LLM frameworks and a strong understanding of retrieval systems, embeddings, and vector databases. - Showcasing hands-on experience with RESTful API development, microservices, and containerized deployments (Docker/Kubernetes). - Familiarity with cloud AI services such as GCP Vertex AI (preferred) or AWS Bedrock, Azure OpenAI, etc. - Exposure to data pipelines, preprocessing, and production-grade model deployment. Qualifications required for this role include: - 5-7 years of experience in Product development and AI/ML or NLP solution development. - Strong coding proficiency in Python with practical experience in libraries like FastAPI, Pandas, PyTorch, TensorFlow, or Transformers. - Experience with LLM frameworks and a strong understanding of retrieval systems, embeddings, and vector databases. - Hands-on experience with RESTful API development, microservices, and containerized deployments (Docker/Kubernetes). - Familiarity with cloud AI services such as GCP Vertex AI (preferred) or AWS Bedrock, Azure OpenAI, etc. - Exposure to data pipelines, preprocessing, and production-grade model deployment.