Ai/ml Engineer

Description:

SiliconNexus is a fast-growing technology company delivering end-to-end solutions in Embedded Systems, Blockchain, AI/ML, and Web & Mobile Application Development.

We foster a culture of innovation, collaboration, and continuous learning, empowering our teams to design intelligent systems that solve real-world challenges.

We are seeking a passionate and skilled AI/ML Engineer with expertise in Large Language Models (LLMs), NLP, and Generative AI technologies such as GPT, Bard, Whisper AI, and Stable Diffusion. This role offers the opportunity to work on state-of-the-art AI applications involving vector databases, RAG (Retrieval-Augmented Generation) systems, and OCR automation, building next-generation intelligent solutions.

Role Overview

As an AI/ML Engineer at SiliconNexus, you will design, build, and deploy advanced AI solutions that leverage LLMs, LangChain, and modern cloud infrastructure. You’ll collaborate with cross-functional teams to develop scalable AI systems for diverse enterprise applications in speech, vision, and language processing.

Key Responsibilities

• Model Development & Fine-tuning: Design, train, and deploy machine learning and NLP models (LLMs, GPT, Bard, Gemini) for real-world problem-solving.
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• LLM & NLP Expertise: Build solutions for text generation, summarization, entity recognition, and sentiment analysis using state-of-the-art NLP techniques.
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• LangChain & LLAMA Index Integration: Develop scalable, context-aware AI applications by integrating LangChain, LLAMA Index, and external data sources.
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• Vector Databases & RAG Systems: Implement and optimize vector databases (FAISS, Pinecone) for high-accuracy retrieval-augmented generation (RAG) pipelines.
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• API Development & Deployment: Build RESTful APIs for ML model deployment using FastAPI, Flask, or Django, ensuring scalability and reliability.
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• Cloud Infrastructure & CI/CD: Utilize AWS SageMaker, Azure, or GCP for model training, deployment, and scaling with automated CI/CD workflows.
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• Speech & Vision AI: Work with Whisper AI for speech recognition and Stable Diffusion for generative image applications.
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• OCR Systems: Develop and optimize Optical Character Recognition (OCR) pipelines for document processing and intelligent automation.
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• Collaboration & Research: Work closely with data scientists, developers, and business stakeholders while staying updated with emerging trends in AI/ML and LLMs.

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• Required Qualifications & Skills
  • Bachelor’s, Master’s, or Ph.D. in Computer Science, Engineering, Data Science, or related field.
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  • 2–3 years of experience building and deploying machine learning or AI-driven systems.
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  • Strong expertise with LLMs (GPT, Bard, Gemini) and frameworks like LangChain and LLAMA Index.
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  • Solid understanding of NLP tasks such as summarization, entity recognition, and text classification.
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  • Hands-on experience with Vector Databases (FAISS, Pinecone) and RAG-based architectures.
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  • Proficiency with TensorFlow, PyTorch, or other deep learning frameworks.
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  • Skilled in developing and deploying APIs using FastAPI, Flask, or Django.
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  • Experience with cloud platforms (AWS, GCP, Azure) and ML pipeline automation (SageMaker, MLflow).
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  • Familiarity with Whisper AI and Stable Diffusion for multimodal AI applications.
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  • Experience with OCR tools such as Tesseract, EasyOCR, or deep learning-based OCR frameworks.
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  • Strong analytical thinking, debugging, and problem-solving abilities.