Python+ai Engineer

You will be responsible for designing, building, and optimizing advanced AI/ML solutions focusing on Generative AI and Large Language Models (LLMs) to power intelligent products and platforms. As a senior member of the AI team, you will work on state-of-the-art NLP models, contribute to GenAI system architecture, and bring research to production in a fast-paced and team-oriented environment. - Design and implement scalable AI/ML models, with a focus on LLMs and Generative AI use cases. - Fine-tune and deploy foundation models (e.g., GPT, LLaMA, Mistral) using Python and up-to-date ML frameworks. - Lead research, experimentation, and prototyping of new ML algorithms and NLP approaches. - Collaborate with data scientists, MLOps engineers, and product teams to integrate AI capabilities into real-world applications. - Develop APIs and end-to-end ML pipelines for training, testing, and deployment. - Stay current with emerging trends in artificial intelligence and apply best practices in production environments. Qualifications required for this role include: - 9+ years of experience in Artificial Intelligence, Machine Learning, and Python programming. - Hands-on expertise in Generative AI and Large Language Models (LLMs). - Strong knowledge of frameworks such as PyTorch, TensorFlow, and Hugging Face Transformers. - Experience with prompt engineering, fine-tuning, and inference optimization of LLMs. - Solid understanding of NLP, deep learning architectures, and model performance evaluation. - Experience working with vector databases (FAISS, Pinecone) and retrieval-augmented generation (RAG) architectures. - Proven ability to translate complex research into scalable applications. It would be a plus if you have exposure to LangChain, OpenAI APIs, Anthropic Claude, or other commercial LLM ecosystems. Familiarity with cloud platforms (AWS/GCP/Azure) and MLOps practices (Docker, MLFlow, CI/CD), prior experience mentoring junior engineers or leading AI project teams, and contributions to open-source AI projects or published research in the AI/ML domain. You will be responsible for designing, building, and optimizing advanced AI/ML solutions focusing on Generative AI and Large Language Models (LLMs) to power intelligent products and platforms. As a senior member of the AI team, you will work on state-of-the-art NLP models, contribute to GenAI system architecture, and bring research to production in a fast-paced and team-oriented environment. - Design and implement scalable AI/ML models, with a focus on LLMs and Generative AI use cases. - Fine-tune and deploy foundation models (e.g., GPT, LLaMA, Mistral) using Python and up-to-date ML frameworks. - Lead research, experimentation, and prototyping of new ML algorithms and NLP approaches. - Collaborate with data scientists, MLOps engineers, and product teams to integrate AI capabilities into real-world applications. - Develop APIs and end-to-end ML pipelines for training, testing, and deployment. - Stay current with emerging trends in artificial intelligence and apply best practices in production environments. Qualifications required for this role include: - 9+ years of experience in Artificial Intelligence, Machine Learning, and Python programming. - Hands-on expertise in Generative AI and Large Language Models (LLMs). - Strong knowledge of frameworks such as PyTorch, TensorFlow, and Hugging Face Transformers. - Experience with prompt engineering, fine-tuning, and inference optimization of LLMs. - Solid understanding of NLP, deep learning architectures, and model performance evaluation. - Experience working with vector databases (FAISS, Pinecone) and retrieval-augmented generation (RAG) architectures. - Proven ability to translate complex research into scalable applications. It would be a plus if you have exposure to LangChain, OpenAI APIs, Anthropic Claude, or other commercial LLM ecosystems. Familiarity with cloud platforms (AWS/GCP/Azure) and MLOps practices (Docker, MLFlow, CI/CD), prior experience mentoring junior engineers or leading AI project teams, and contributions to open-source AI projects or published research in the AI/ML domain.