Senior AI/ML Engineer
Remote
We are looking for a highly skilled Senior AI/ML Engineer to join our client's team on a long-term contract basis. This is a unique opportunity to work on an AI-powered platform utilizing the latest advancements in Graph RAG, Knowledge Graphs, and Generative AI (GPT models, LLMs). The ideal candidate is passionate about AI/ML, experienced in retrieval-augmented generation (RAG) techniques, and proficient in building scalable AI-driven solutions.
Responsibilities:
- Design and implement AI/ML models with a focus on Graph RAG, Knowledge Graphs, and Generative AI (GPT, LLMs, etc.).
- Develop and optimize retrieval-augmented generation (RAG) pipelines to enhance AI-based search and reasoning capabilities.
- Work with large-scale language models (LLMs) for text processing, summarization, and question-answering applications.
- Implement knowledge graph-based AI solutions for intelligent data retrieval and inference.
- Train, fine-tune, and deploy AI models efficiently in cloud environments.
- Develop APIs to integrate AI/ML models into web applications.
- Collaborate with software engineers to integrate AI functionalities into the broader system architecture.
- Optimize AI models for performance, scalability, and cost-effectiveness.
- Stay up-to-date with the latest advancements in AI/ML, LLMs, and graph-based techniques.
Required Skills and Experience:
- 5+ years of experience in AI/ML development.
- Expertise in Machine Learning, Deep Learning, and NLP techniques.
- Strong experience with Generative AI models (GPT-3.5, GPT-4, LLaMA, Falcon, etc.).
- Experience with Graph RAG, Knowledge Graphs, and Semantic Search.
- Proficiency in AI/ML frameworks: TensorFlow, PyTorch, LangChain.
- Strong knowledge of RAG techniques for AI-powered retrieval systems.
- Experience in large-scale data processing using Pandas, Spark, or Dask.
- Familiarity with cloud AI/ML services: AWS Sagemaker, Google Vertex AI, Azure AI.
- Proficiency in Python and AI-related libraries (Hugging Face, Transformers, OpenAI API).
- Experience with AI model deployment and optimization.
- Understanding of DevOps practices, containerization (Docker, Kubernetes), and CI/CD pipelines.
- Familiarity with prompt engineering and fine-tuning LLMs.
- Ability to work collaboratively in an Agile development environment.
- Excellent problem-solving and communication skills.
- Experience working with cross-country teams (India, US) is a plus.
Senior AI/ML Engineer
Remote
We are looking for a highly skilled Senior AI/ML Engineer to join our client's team on a long-term contract basis. This is a unique opportunity to work on an AI-powered platform utilizing the latest advancements in Graph RAG, Knowledge Graphs, and Generative AI (GPT models, LLMs). The ideal candidate is passionate about AI/ML, experienced in retrieval-augmented generation (RAG) techniques, and proficient in building scalable AI-driven solutions.
Responsibilities:
- Design and implement AI/ML models with a focus on Graph RAG, Knowledge Graphs, and Generative AI (GPT, LLMs, etc.).
- Develop and optimize retrieval-augmented generation (RAG) pipelines to enhance AI-based search and reasoning capabilities.
- Work with large-scale language models (LLMs) for text processing, summarization, and question-answering applications.
- Implement knowledge graph-based AI solutions for intelligent data retrieval and inference.
- Train, fine-tune, and deploy AI models efficiently in cloud environments.
- Develop APIs to integrate AI/ML models into web applications.
- Collaborate with software engineers to integrate AI functionalities into the broader system architecture.
- Optimize AI models for performance, scalability, and cost-effectiveness.
- Stay up-to-date with the latest advancements in AI/ML, LLMs, and graph-based techniques.
Required Skills and Experience:
- 5+ years of experience in AI/ML development.
- Expertise in Machine Learning, Deep Learning, and NLP techniques.
- Strong experience with Generative AI models (GPT-3.5, GPT-4, LLaMA, Falcon, etc.).
- Experience with Graph RAG, Knowledge Graphs, and Semantic Search.
- Proficiency in AI/ML frameworks: TensorFlow, PyTorch, LangChain.
- Strong knowledge of RAG techniques for AI-powered retrieval systems.
- Experience in large-scale data processing using Pandas, Spark, or Dask.
- Familiarity with cloud AI/ML services: AWS Sagemaker, Google Vertex AI, Azure AI.
- Proficiency in Python and AI-related libraries (Hugging Face, Transformers, OpenAI API).
- Experience with AI model deployment and optimization.
- Understanding of DevOps practices, containerization (Docker, Kubernetes), and CI/CD pipelines.
- Familiarity with prompt engineering and fine-tuning LLMs.
- Ability to work collaboratively in an Agile development environment.
- Excellent problem-solving and communication skills.
- Experience working with cross-country teams (India, US) is a plus.