Job Summary<\/b>
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We are seeking a talented Python AI / Generative AI\nDeveloper<\/b> with 6+ years of experience<\/b> in designing and developing\nAI\-driven applications. The ideal candidate will have strong expertise in machine\nlearning, natural language processing, and generative AI<\/b>, with hands\-on experience building intelligent systems in Python<\/b>.
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The role involves developing AI\-powered solutions,\nimplementing generative AI models, integrating AI services into applications,\nand collaborating with cross\-functional teams to deliver scalable and\ninnovative AI solutions.
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Key Responsibilities<\/b>
<\/p>- Design\n and develop AI and Generative AI solutions<\/b> using Python<\/b>.
<\/li>- Build\n and integrate applications leveraging Large Language Models<\/b>.
<\/li>- Develop\n and optimize machine learning models using frameworks such as TensorFlow<\/b> and PyTorch<\/b>.
<\/li>- Implement Natural Language Processing (NLP)<\/b> techniques for intelligent\n text\-based applications.
<\/li>- Develop\n APIs and backend services to integrate AI capabilities into enterprise\n applications.
<\/li> - Work\n with vector databases and embeddings for building semantic search and\n AI\-powered systems.
<\/li> - Fine\-tune\n and optimize generative AI models for performance and accuracy.
<\/li> - Collaborate\n with data scientists, engineers, and product teams to design AI\-driven\n features.
<\/li> - Monitor,\n evaluate, and improve AI model performance in production environments.
<\/li> - Document\n AI models, workflows, and implementation strategies.
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Required Skills & Qualifications<\/b>
<\/p>- 6 years of experience<\/b> in AI/ML development using Python<\/b>.
<\/li>- Strong\n understanding of Machine Learning<\/b> and Natural Language\n Processing<\/b>.
<\/li>- Hands\-on\n experience working with Large Language Models<\/b> and Generative AI\n frameworks.
<\/li>- Experience\n using AI/ML frameworks such as TensorFlow<\/b> or PyTorch<\/b>.
<\/li>- Experience\n building AI\-driven APIs and backend services.
<\/li> - Proficiency\n in data processing libraries such as Pandas<\/b> and NumPy<\/b>.
<\/li>- Understanding\n of prompt engineering, model fine\-tuning, and AI workflow optimization.
<\/li> - Experience\n working with REST APIs and cloud\-based AI services.
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Preferred Qualifications<\/b>
<\/p>- Experience\n with AI frameworks such as LangChain<\/b> or LlamaIndex<\/b>.
<\/li>- Exposure\n to cloud platforms like Amazon Web Services<\/b>, Microsoft Azure<\/b>,\n or Google Cloud Platform<\/b>.
<\/li>- Experience\n with vector databases such as Pinecone<\/b> or Weaviate<\/b>.
<\/li>- Familiarity\n with MLOps practices<\/b> for model deployment and monitoring.
<\/li>- Experience\n working in Agile development environments.
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Key Competencies<\/b>
<\/p>- AI\n and Generative AI development
<\/li> - Machine\n learning model development and optimization
<\/li> - NLP\n and LLM integration
<\/li> - API\n development and system integration
<\/li> - Analytical\n thinking and problem\-solving
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