AI/ML Engineer

SiliconNexus is a rapidly expanding technology company specializing in Embedded Systems, Blockchain, AI/ML, and Web & Mobile Application Development. We are seeking a skilled AI/ML Engineer with strong expertise in Large Language Models (LLMs), Natural Language Processing (NLP), and generative AI technologies such as GPT, Bard, Whisper AI, and Stable Diffusion. In this role, you will be responsible for designing, developing, and deploying innovative AI solutions including vector databases, retrieval-augmented generation (RAG) systems, and OCR applications. You will work closely with cross-functional teams to build scalable AI systems using frameworks like LangChain, FastAPI, and AWS SageMaker, contributing to impactful business outcomes.

Key Responsibilities

- Model Development & Fine-tuning: Build, fine-tune, and deploy advanced machine learning and NLP models (LLMs including GPT, Bard, Gemini) to address complex business challenges.
- LLM & NLP Expertise: Utilize state-of-the-art NLP techniques for tasks such as text generation, summarization, sentiment analysis, question answering, and entity recognition.
- Integration of LangChain & LLAMA Index: Implement LangChain, LLAMA Index, and related frameworks to develop scalable AI systems capable of interacting with external data sources and APIs.
- Vector Databases & RAG Systems: Manage vector databases like Pinecone and FAISS to optimize retrieval-augmented generation systems, enhancing the relevance and context of AI outputs.
- API Development & Deployment: Develop and deploy machine learning models as scalable REST APIs using FastAPI, Flask, or Django to support production environments.
- Cloud Infrastructure & Deployment: Leverage cloud platforms such as AWS SageMaker for model training, deployment, and scaling, ensuring efficient CI/CD pipelines for AI solutions.
- AI Applications in Speech and Vision: Work on advanced AI models including Whisper AI for speech-to-text and Stable Diffusion for image generation, integrating these into enterprise applications.
- OCR Systems: Design and optimize Optical Character Recognition solutions for document processing and text extraction using deep learning techniques.
- Collaboration & Innovation: Partner with data scientists, software engineers, and business stakeholders to deliver AI-driven solutions that generate measurable business value.
- Research & Development: Stay current with emerging trends and advancements in AI, LLMs, NLP, and related fields to maintain a competitive edge.

Required Qualifications

- Bachelor’s, Master’s, or Ph.D. degree in Computer Science, Engineering, Data Science, or a related discipline.
- Proven experience with Large Language Models such as GPT, Bard, and Gemini.
- 2-3 years of hands-on experience with LangChain and LLAMA Index for developing robust LLM-based applications.
- Proficiency in NLP tools and techniques including named entity recognition, sentiment analysis, text generation, and summarization.
- Experience working with vector databases (e.g., FAISS, Pinecone) for similarity search and RAG implementations.
- Strong skills in machine learning frameworks like TensorFlow and PyTorch, with a solid understanding of deep learning architectures (CNNs, RNNs, Transformers).
- Expertise in API development using FastAPI, Flask, or Django for scalable AI solutions.
- Familiarity with cloud platforms (AWS, GCP, Azure) and experience deploying models using AWS SageMaker or similar services.
- Knowledge of generative AI models such as Stable Diffusion (image generation) and Whisper AI (speech recognition).
- Experience with OCR frameworks like Tesseract or EasyOCR for document and text extraction.

Preferred Qualifications and Benefits

- Opportunity to work on cutting-edge AI technologies and large-scale projects within a collaborative and innovative team environment.
- Competitive compensation and comprehensive benefits package.
- Support for personal and professional growth through continuous learning and development opportunities.
- Flexible work schedules with options for remote work.
- Access to advanced AI tools, frameworks, and cloud services to enhance your technical expertise.

If you are passionate about AI/ML development and thrive in a fast-paced, technology-driven environment, we encourage you to apply and become a part of our dynamic team.