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Senior AI / ML Engineer

Senior AI / ML Engineer

Prophecy TechnologiesBelgaum, IN
5 hours ago
Job description

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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    Senior Engineer • Belgaum, IN

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