Role: AI/ML Engineer

Experience: 4+ Years

Skills: Machine Learning, LLM, Rag Architecture, Vector Database

Location: Bangalore, India (Hybrid)

Key Responsibilities:

• Design, develop, and deploy LLM-based applications for NLP tasks, including text generation, summarization, and conversational AI.
• Implement and optimize RAG (Retrieval-Augmented Generation) architectures to improve the accuracy and relevance of generative models.
• Work with Vector Databases (e.g., Pinecone, FAISS, or Weaviate) to store, manage, and retrieve high-dimensional data for AI applications.
• Integrate external knowledge sources into AI models, using retrieval-based methods to enhance their contextual understanding.
• Collaborate with cross-functional teams to ensure the AI/ML solutions meet business objectives and are scalable and efficient.
• Stay up-to-date with advancements in AI/ML technologies, including the latest research in LLMs, RAG architectures, and database innovations.

Qualifications:

• Bachelor's or Master’s degree in Computer Science, Data Science, AI/ML, or a related field.
• Proven experience working with LLMs like GPT, BERT, or similar models in real-world applications.
• Strong knowledge of RAG architecture and its implementation for enhancing model generation capabilities.
• Experience with Vector Databases for handling large-scale, high-dimensional data.
• Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or Hugging Face.
• Familiarity with cloud platforms (e.g., AWS, Azure) for AI/ML deployments.
• Strong problem-solving skills and the ability to work in a collaborative team environment.

Preferred Skills:

• Experience with MLOps and the deployment of ML models at scale.
• Familiarity with graph databases and semantic search technologies.
• Knowledge of AI-driven product development lifecycle, from data collection to model deployment and monitoring.

About EngineersMind:

Engineersmind is an IT solutions and consulting company that provides digital engineering, automation, cloud transformation, and design services across various industries. Their expertise spans multiple domains, including financial services, healthcare, and manufacturing, where they design and implement integrated multi-channel digital experiences. They leverage platforms like Liferay and cloud services such as AWS, Azure, and Google Cloud to deliver scalable, secure, and cost-effective solutions.