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Generative AI Developer Job Details | Gainwell Technologies LLC

5.00 to 9.00 Years   Bengaluru/ Bangalore (Karnataka)   29 Jan, 2025
Gainwell Technologies
Job LocationBengaluru/ Bangalore (Karnataka)
EducationML/ LLM (Law)Any Graduate
SalaryAs per Industry Standards
IndustryIT-Hardware/Networking, Telecom
Functional AreaIT Software : Software Products & Services
EmploymentTypeFull-time

Job Description

Generative AI DeveloperDate: Jan 27, 2025Location: Bangalore, KA, IN, 560100Req ID: 29000SummaryWe 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

  • Develop and deploy GenAI-based applications to solve complex business problems.
  • Implement RAG frameworks to enhance information retrieval and response accuracy.
  • Design and optimize document chunking strategies tailored to specific data types and use cases.
  • Build and manage data embeddings using various vector databases for high-performance similarity searches.
  • Collaborate with data engineers and scientists to integrate AI solutions seamlessly into existing pipelines.
  • Explore and implement best practices for leveraging Amazon Bedrock and Azure OpenAI services.
  • Stay updated on emerging trends and technologies in the GenAI and AI/ML landscape.
What were looking for
  • Proficiency in Generative AI frameworks and technologies like Prompt Engineering creating specific prompts to guide LLM outputs
  • Fine Tuning and Few-Shot learning Adapting LLMs for domain-specific tasks.
  • Retrieval-Augmented Generation (RAG) Combining LLMs with external data retrieval systems.
  • Text-to-Text Transfer Transformation (T5) Framework for translating tasks into text forms.
  • Expertise in designing and implementing chunking strategies for diverse datasets.
  • Strong knowledge of data embedding techniques and working experience with vector databases like Pinecone, Weaviate, or Milvus.
  • Solid programming skills in Python, with experience in AI/ML libraries such as TensorFlow, PyTorch, or Hugging Face Transformers.
  • Familiarity with cloud platforms and services for AI/ML workloads (AWS or Azure).
  • Experience with API integration for AI services and building scalable applications.
What you should expect in this roleYears of Experience:
  • Overall experience 5 to 9 years
  • Hands-on experience in Python 4 to 5 years
  • AI/ML experience 3 to 4 years
  • GenAI experience (good to have) 1 to 2 years
  • Fast-paced, challenging and rewarding work environment.
  • Work-life balance.
  • Hybrid office environment.
  • Will require late evening work to overlap US work hours.

Keyskills :
generative ai technologies retrieval augmented generation (rag) data embedding techniques python programming ai/ml libraries knowledgeinformation retrieval microsoft azure api forms

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