Live opening · Posted 15 hours ago

AIML Developer

Technonex | Software Development Partner for Healthcare & SaaS Leaders · India (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 15 hours ago
CompanyTechnonex | Software Development Partner for Healthcare & SaaS Leaders
LocationIndia (Remote)
Work modeYes
SkillsPython, GCP, Docker, TensorFlow, PyTorch
SourceLinkedin
ListedPosted 15 hours ago

About the role

Description supplied by the original job listing.

We’re Hiring: AI/ML Developer
Company: Technonex
Job Type: Full-Time
Experience: 2–5 Years
Location: Remote
About the Role
We are looking for a skilled AI/ML Developer to join our team and build intelligent, scalable AI-powered applications. The ideal candidate should have hands-on experience with machine learning, Generative AI, LLMs, and AI model integration.
Key Responsibilities
Design, develop, and deploy AI/ML models for real-world applications.
Build AI-powered solutions using Large Language Models (LLMs), Generative AI, and NLP.
Integrate AI models and third-party AI services into backend applications through REST APIs.
Work with frameworks such as TensorFlow, PyTorch, and Scikit-learn.
Develop solutions using OpenAI APIs, Gemini, Claude, or similar AI platforms.
Implement Retrieval-Augmented Generation (RAG), vector databases, embeddings, and semantic search.
Optimize model performance, accuracy, scalability, and response time.
Collaborate with backend, frontend, and product teams to deliver production-ready solutions.
Required Skills
Strong programming skills in Python.
Experience with Machine Learning, Deep Learning, and NLP.
Hands-on experience with LLMs and Generative AI.
Knowledge of LangChain, LlamaIndex, or similar frameworks.
Experience with vector databases such as Pinecone, FAISS, Chroma, or Weaviate.
Knowledge of REST APIs, Git, Docker, and cloud platforms.
Understanding of model evaluation, prompt engineering, and AI safety.
Good to Have
Experience with RAG pipelines and AI agents.
Experience with Google Cloud Platform.
Knowledge of MLOps, model deployment, and monitoring.
Experience building production-grade AI applications.
How to Apply
Interested candidates can share their updated resume along with their current CTC, expected CTC, notice period, and relevant AI/ML project experience.

Work arrangement
Yes

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