Gen AI Developer by TipTopJob

TipTopJob (June-2013 से पंजीकृत) ने 2 दिन पहले इस नौकरी को पोस्ट किया था

Summary
We are seeking a highly skilled Senior Generative AI Developer to join our AI/ML team. This role focuses on leveraging cutting:edge Generative AI (GenAI) technologies to drive innovation and efficiency in software development and business processes. The ideal candidate will work on advanced techniques such as Retrieval:Augmented Generation (RAG), document chunking, and data embedding across multiple vector databases. They will collaborate closely with cross:functional teams to design, implement, and optimize AI:driven solutions, with exposure to cloud:native AI platforms like Amazon Bedrock and Microsoft Azure OpenAI considered a plus.
Your role in our mission
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Develop and deploy GenAI:based applications to solve complex business problems.
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Implement RAG frameworks to enhance information retrieval and response accuracy.
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Design and optimize document chunking strategies tailored to specific data types and use cases.
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Build and manage data embeddings using various vector databases for high:performance similarity searches.
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Collaborate with data engineers and scientists to integrate AI solutions seamlessly into existing pipelines.
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Explore and implement best practices for leveraging Amazon Bedrock and Azure OpenAI services.
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Stay updated on emerging trends and technologies in the GenAI and AI/ML landscape.
What were looking for
Mandatory Skills:
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Proficiency in Generative AI frameworks and technologies like
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Prompt Engineering : creating specific prompts to guide LLM outputs
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Fine Tuning and Few:Shot learning : Adapting LLMs for domain:specific tasks.
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Retrieval:Augmented Generation (RAG) : Combining LLMs with external data retrieval systems
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Text:to:Text Transfer Transformation (T5) : Framework for translating tasks into text forms.
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Expertise in designing and implementing chunking strategies for diverse datasets.
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Strong knowledge of data embedding techniques and working experience with vector databases like Pinecone, Weaviate, or Milvus.
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Solid programming skills in Python, with experience in AI/ML libraries such as TensorFlow, PyTorch, or Hugging Face Transformers.
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Familiarity with cloud platforms and services for AI/ML workloads (AWS or Azure).
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Experience with API integration for AI services and building scalable applications.
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Hands:on experience with Amazon Bedrock and/or Microsoft Azure OpenAI services.
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Knowledge of natural language processing (NLP) techniques and large language model (LLM) fine:tuning.
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Exposure to different chunking strategies, including overlap and semantic segmentation.
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Understanding of DevOps practices for deploying and managing AI models in production.
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Strong problem:solving and analytical skills with a focus on delivering value:driven solutions.
Competency1
Years of Experience:
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Overall experience : 5 to 7 years
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Hands:on experience in Python : 4 to 5 years
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AI/ML experience : 3 to 4 years
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GenAI experience (good to have) : 1 to 2 years
Job Type: Permanent