Artificial Intelligence Model Developer

2 days ago

Jamnagar, Gujarat, India beBeeArtificial Full time ₹ 1,00,00,000 - ₹ 2,00,00,000
Job Title: Artificial Intelligence Model Developer

This role involves designing, developing, and deploying artificial intelligence and machine learning solutions with a focus on Generative AI and Large Language Models (LLMs).

About the Role:

The successful candidate will be responsible for fine-tuning and optimizing LLMs for domain-specific tasks using frameworks such as LangChain, LlamaIndex, or similar. They will also integrate LLMs with APIs, databases, vector stores, and enterprise applications.

Key Responsibilities:

  • Fine-tune and optimize LLMs for domain-specific tasks using frameworks such as LangChain, LlamaIndex, or similar.
  • Integrate LLMs with APIs, databases, vector stores, and enterprise applications.
  • Evaluate and implement model deployment strategies in on-prem, cloud, serverless, or containerized environments.
  • Collaborate with cross-functional teams to deliver end-to-end AI solutions.
  • Stay updated with the latest advancements in AI, ML, and GenAI research and propose adoption of new technologies.
  • Implement MLOps best practices for continuous training, deployment, and monitoring of models in production.
  • Ensure responsible AI practices, focusing on bias mitigation, data privacy, and compliance.

Required Skills and Qualifications:

  • 5+ years of experience in software development (Python preferred; familiarity with Java, C#, or Node.js a plus).
  • 2+ years of hands-on experience in Generative AI and LLM-based development.
  • Strong knowledge of AI/ML fundamentals including NLP, deep learning, embeddings, and transformers.
  • Experience with LLMs (e.g., OpenAI GPT, Anthropic Claude, LLaMA, Falcon, Mistral, or similar).
  • Proven track record of delivering at least 2 production-grade LLM-based projects.
  • Experience with LangChain, LlamaIndex, Haystack, or similar frameworks.
  • Familiarity with vector databases (Pinecone, Weaviate, Milvus, FAISS, Chroma).
  • Hands-on experience with cloud platforms (AWS, Azure, GCP) and AI services (Bedrock, VertexAI, Azure OpenAI).
  • Proficiency in containerization and deployment tools (Docker, Kubernetes, CI/CD pipelines).
  • Experience with MLOps tools (MLflow, Kubeflow, Weights & Biases) for model lifecycle management.
  • Strong problem-solving, analytical, and communication skills.

What We Offer:

  • A challenging and rewarding role that allows you to develop and deploy cutting-edge AI solutions.
  • A collaborative and dynamic work environment that fosters innovation and growth.
  • Opportunities for professional development and advancement.

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