Silicon Nexus helps businesses build modern software with embedded, AI, and IoT capabilities. It delivers full-stack development, embedded solutions, and blockchain applications across industries. The company operates as a B2B software development partner serving industrial IoT, automation, healthcare, automotive, and wireless tech customers. Its engineers work with cross-disciplinary teams to ship scalable products.
Blockchain developmentEmbedded systems developmentMachine learningMobile application developmentNFTs#siliconnexus#sinexCodersUI/UXWeb application developmentsilicon-nexus.com
SiliconNexus
Silicon Nexus helps businesses build modern software with embedded, AI, and IoT capabilities. It delivers full-stack development, embedded solutions, and blockchain applications across industries. The company operates as a B2B software development partner serving industrial IoT, automation, healthcare, automotive, and wireless tech customers. Its engineers work with cross-disciplinary teams to ship scalable products.
Blockchain developmentEmbedded systems developmentMachine learningMobile application developmentNFTs#siliconnexus#sinexCodersUI/UXWeb application developmentsilicon-nexus.com
HQDover, US
Team Size44
Open Jobs13
Total Funding-
Latest FundraiseUnknown
Join the Team
AI/ML Engineer
On-SiteLahore District, Punjab, PK
On-Site • Lahore District, Punjab, PK
Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.
Machine Learning Engineer
Part-timeNew York, US
Part-time • New York, US
Data Scientist
Full-timeJerusalem
Full-time • Jerusalem
Product Designer
Full-timeHamburg, DE
Full-time • Hamburg, DE
DevOps Engineer
InternshipTel Aviv
Internship • Tel Aviv
Technical Writer
Full-timeJerusalem
Full-time • Jerusalem
Backend Developer
ContractBerlin, DE
Contract • Berlin, DE
AI/ML Engineer
SiliconNexus is a fast-growing technology company providing end-to-end services in Embedded Systems, Blockchain, AI/ML, Web & Mobile Application Development. We are looking for experienced professionals for
AI/ML Engineer
positions to join our dynamic team.
Company Overview:
We are seeking an experienced AI/ML Engineer with expertise in Large Language Models (LLMs), NLP, and generative AI technologies such as GPT, Bard, Whisper AI, and Stable Diffusion. In this role, you will design, develop, and deploy cutting-edge AI solutions, including vector databases, retrieval-augmented generation (RAG) systems, and OCR applications. You will collaborate with cross-functional teams to create scalable, innovative AI systems using frameworks like LangChain, FastAPI, and AWS SageMaker, driving impactful business solutions.
Responsibilities:
Technical Skills & Qualification:
What We Offer:
Work on cutting-edge AI technologies and large-scale projects.
A collaborative and innovative team environment.
Competitive compensation and benefits package.
Opportunities for personal and professional growth.
Flexible work schedule and remote work options.
Access to advanced tools, frameworks, and cloud services.
How to Apply
:
If you are passionate about AI/ML development and eager to work in a fast-paced environment, we want to hear from you! Please send your resume at careers@silicon-nexus.com with the subject line
"AI/ML Engineer”
.
Model Development & Fine-tuning:
Build, fine-tune, and deploy advanced machine learning and natural language processing models (LLMs, GPT, Bard, Gemini) to solve complex business problems.
LLM & NLP Expertise:
Leverage cutting-edge NLP techniques to build and optimize solutions for tasks like text generation, summarization, sentiment analysis, question answering, and entity recognition.
Integration of LangChain & LLAMA Index:
Integrate LangChain, LLAMA Index, and other frameworks to build scalable and efficient AI systems that can interact with external data sources and APIs.
Vector Databases & RAG Systems:
Implement and manage vector databases (e.g., Pinecone, FAISS) for retrieval-augmented generation (RAG) systems, optimizing search and retrieval of relevant data to improve the accuracy and context of AI outputs.
API Development & Deployment:
Build and deploy machine learning models as scalable REST APIs using frameworks such as FastAPI, Flask, and Django to serve AI-driven solutions in production environments.
Cloud Infrastructure & Deployment:
Utilize cloud platforms (e.g., AWS SageMaker) for model training, deployment, and scaling. Ensure efficient model pipelines for continuous integration and deployment (CI/CD) of AI solutions.
AI Applications in Speech and Vision:
Work on advanced AI models such as Whisper AI (for speech-to-text) and Stable Diffusion (for image generation). Integrate these models into enterprise applications.
OCR Systems:
Develop and optimize Optical Character Recognition (OCR) solutions for document processing, text extraction, and analysis using deep learning models.
Collaboration & Innovation:
Collaborate with cross-functional teams, including data scientists, software engineers, and business stakeholders, to deliver AI solutions that create business impact.
Research & Development:
Stay updated with the latest advancements in AI, LLMs, NLP, and related technologies to keep the company ahead of industry trends.
Education:
Bachelor’s, Master’s, or Ph.D. in Computer Science, Engineering, Data Science, or a related field.
Strong experience with
Large Language Models (LLMs)
, including GPT, Bard, and Gemini.
2-3 Years of Hands-on experience with
LangChain
and
LLAMA Index
for building robust LLM-driven applications.
Proficiency with
NLP tools and techniques
, including named entity recognition (NER), sentiment analysis, text generation, and summarization.
Experience with
Vector Databases
(e.g., FAISS, Pinecone) for similarity search and RAG systems.
Proficient in
machine learning frameworks
(e.g., TensorFlow, PyTorch) and
deep learning
(e.g., CNNs, RNNs, Transformers).
Strong skills in
API development
using
FastAPI
,
Flask
, or
Django
for building scalable solutions.
Experience with
cloud platforms
(AWS, GCP, Azure) and using tools like
AWS SageMaker
for deploying models at scale.
Familiarity with generative AI models like
Stable Diffusion
(for image generation) and
Whisper AI
(for speech recognition).
Knowledge of
OCR
tools and frameworks (e.g., Tesseract, EasyOCR) for document and text extraction.
