Description
Must-Haves :
Mandatory 3 + years of experience in AI/ML, Gen AI
1+ years of experience in Voice Chatbot, On Premises LLM Solutions
Individual Contributor role.
About the company:
Location: - Remote
Team Strength- 300+ people
About the Company: Sequantix is a fast-growing technology company specializing in cutting-edge solutions in Artificial Intelligence, Machine Learning, and data-driven innovation. With a focus on delivering enterprise-grade AI products and platforms, Sequantix empowers organizations to harness the full potential of advanced technologies, including Generative AI, Large Language Models (LLMs), and voice-enabled systems.
Headquartered in India, Sequantix serves a global clientele across diverse industries, combining deep technical expertise with a strong commitment to quality, agility, and continuous innovation
About the position:
Designation: AI/ML Engineer
Experience required- 3-8 yrs
Reporting To: manager
Vacancy: 1
Work Location: remote (work from Home)
Interview Process: 3 Tech round & HR round ( Global head), Virtual.
Job Summary:
We are looking for an experienced AI/ML Engineer to research, develop, and optimize AI language models for text generation and semantic search. The ideal candidate will work on embedding models, inference optimization, and distributed AI training while ensuring performance, security, and scalability in an on-premise or cloud environment.
Key Responsibilities
� Research, develop, and fine-tune AI language models for text generation.
� Implement and optimize embedding models for semantic search and retrieval.
� Work on distributed model training and inference optimization for efficient performance.
� Collaborate with backend engineers to integrate AI models into the application.
� Ensure AI model security, performance, and scalability in on-premise and cloud deployments.
Requirements
Hands-on experience with Generative AI and LLM (Large Language Models).
Experience in setting up on-premises systems for LLM solutions.
Exposure to voice-enabled Chatbot is mandatory.
� Strong knowledge of Natural Language Processing (NLP), deep learning, and machine learning.
� Experience with AI frameworks like TensorFlow, PyTorch, or similar.
� Hands-on experience with vector databases (Elasticsearch, Weaviate, Milvus, FAISS).
� Proficiency in deploying AI models using Docker, Kubernetes, and CI/CD pipelines.
� Familiarity with RAG-based AI solutions, LangChain, LlamaIndex is a plus.
� Bachelor's/Master's degree in Computer Science, AI, Machine Learning, or a related field.