AIML Engineer

Orison Solutions

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profile Job Location:

Bengaluru - India

profile Monthly Salary: Not Disclosed
Posted on: 30+ days ago
Vacancies: 1 Vacancy

Job Summary

Location: Remote

Employment Type: Full-time

Experience: 3 years



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 anon-premiseor 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.

Bachelors/Masters degree in Computer Science AI Machine Learning or a related field


Required Skills:

TENSORFLOW MACHINE LEARNING ELASTICSEARCH PYTORCH DEEP LEARNING DOCKER KUBERNETES

Location: RemoteEmployment Type: Full-timeExperience: 3 years Job SummaryWe 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 distribu...
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