Senior AI/ML Engineer

4 weeks ago

bangalore, India Prophecy Technologies Full time

We are seeking a highly skilled Senior AI/ML Engineer with deep expertise in Python programming, LLMs, and Generative AI ecosystems. The ideal candidate will have strong fundamentals in machine learning, deep learning, and a solid understanding of modern AI pipelines involving RAG (Retrieval-Augmented Generation), LangChain/LangGraph, document ingestion, and vector databases. This role requires both hands-on technical expertise and strong programming discipline, with the ability to design, build, and deploy scalable AI solutions that integrate structured and unstructured data sources into real-world intelligent applications. Roles and Responsibilities · Design, train, and fine-tune Large Language Models (LLMs) for domain-specific applications. · Implement Retrieval-Augmented Generation (RAG) pipelines for context-aware responses using enterprise data. · Work with LangChain, LangGraph, and similar frameworks to build modular, production-ready AI workflows. · Develop efficient document ingestion and vectorization pipelines to index, embed, and query knowledge bases using vector databases like Pinecone, FAISS, or Chroma. AI/ML Engineering & Programming Excellence · Write high-quality, modular, and maintainable code in Python, applying strong software engineering principles. · Build and optimize data pipelines for feature extraction, preprocessing, and model training. · Apply deep learning and machine learning concepts for both traditional and generative use cases. · Implement prompt engineering and context optimization strategies to enhance LLM performance. MLOps & Deployment · Develop end-to-end AI workflows with CI/CD, Docker, and Kubernetes. · Deploy models on cloud platforms (GCP Vertex AI, AWS SageMaker, Azure ML). · Monitor and optimize performance of deployed models, ensuring scalability and reliability. Collaboration & Innovation · Collaborate with cross-functional teams to identify business use cases for AI solutions. · Research emerging LLM techniques, retrieval strategies, and framework advancements. · Mentor team members on Python best practices, AI pipeline design, and vector database integration. Primary Skills: · Expert-level Python programming skills with solid understanding of algorithms, data structures, and OOP. · Strong understanding of LLMs (Large Language Models) and transformer-based architectures. · Hands-on experience with LangChain, LangGraph, and other LLM orchestration frameworks. · Proficiency in RAG (Retrieval-Augmented Generation) design and implementation. · Experience in document ingestion, data embedding, and vector database management (FAISS, Pinecone, Chroma, Weaviate). · Strong grounding in Deep Learning, Machine Learning, and Generative AI. · Familiarity with TensorFlow, PyTorch, and Hugging Face ecosystems. · Experience in MLOps, Docker, Kubernetes, and CI/CD pipelines for AI model deployment. · Strong knowledge of mathematical foundations — linear algebra, probability, statistics. · Experience with cloud AI platforms (GCP Vertex AI, AWS SageMaker, Azure ML). Secondary Skills: · Experience with Big Data frameworks (Hadoop, PySpark) for large-scale data processing. · Exposure to Kafka for real-time streaming data pipelines. · Knowledge of time-series forecasting techniques and applications. · Knowledge of API development for AI model serving (FastAPI, Flask). · Experience in multi-modal learning (combining text, images, video, or speech)

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