Generative AI

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Position- GEN AI Exp- 8 + yrs Location- Remote Duration- 6 months. Job Description * Solid foundation in NLP methods, including applications like text classification, sentiment detection, and entity recognition. * Proficiency with Retrieval-Augmented Generation (RAG) techniques and experience working with vector databases (e.g., Weaviate, PineCone). * Extensive Python programming skills, with a proven ability to implement complex solutions. * At least 1 year of practical experience in building applications based on Large Language Models (LLMs) using established third-party models (e.g., OpenAI, Anthropic). * Skilled in prompt engineering, with experience crafting function calls and constructing conversational AI applications. * Familiarity with advanced LLM techniques such as zero-shot and few-shot learning, as well as fine-tuning for specific use cases. * Strong background in using Generative AI libraries and tools, such as Langchain and HuggingFace. * Solid grasp of version control practices, including Git and collaborative development workflows. * Comprehensive experience in preparing, managing, and processing extensive datasets, both structured and unstructured. * Proven experience deploying, scaling, and monitoring machine learning models, particularly LLMs, in live environments.• Flexible to accommodate occasional overlap with US Eastern Time for effective team collaboration. * Professional proficiency in English. Desirable Additional Experience: * Hands-on experience with open-source LLM frameworks, such as Llama or Mistral. * Prior work involving data in regulated sectors, such as healthcare, banking. Technical Skills and Capabilities:• Skilled in RESTful API design (Python-FastAPI) and development, ensuring secure and scalable interfaces. * Proficient in JavaScript for both front-end and back-end, with a strong command of associated frameworks. * Knowledgeable in architecting scalable solutions using microservices. * Experience with the generative AI landscape, specifically around RAG, vector embeddings, LLMs, and open-source AI toolkits.• Familiarity with cloud-based infrastructure (AWS, Azure, GCP) and their data services. * Competent in database design and optimization across SQL and NoSQL technologies. * Practical experience with data streaming platforms, such as Kafka, Azure Event Hub, or AWS Kinesis. * Agile development experience, using tools like Git, Jenkins, and Azure DevOps. * Skilled in creating and managing CI/CD pipelines for seamless testing and deployment. * Excellent team collaboration and communication skills, with an aptitude for working across technical and non-technical roles

Keyword: Data Processing

Price: $8.0