Inspiration Manpower Consultancy
Ai Ml Engineer
- Compensation
- Not disclosed
- Location
- Bengaluru
- Work setup
- Onsite
- Seniority
- Not specified
- Employment
- Full time
- Experience
- 3+ years
- Category
- Ml / AI
- Posted
Skills
Must have
- Minimum 5 years of overall relevant experience in AI/ML engineering.
- At least 3 years of hands-on experience in Conversational AI.
- Experience developing and deploying AI-powered applications and conversational solutions.
- Strong understanding of NLP, Generative AI, and machine learning concepts.
- Experience working with cloud AI services and production deployment pipelines.
- Ability to work independently, contribute to technical decisions, and collaborate effectively with teams.
- 15 years of full-time education is mandatory.
Nice to have
- Deep Learning and Neural Networks
- Large Language Models (LLMs)
- Prompt Engineering
- Retrieval-Augmented Generation (RAG)
- AI Model Integration and Deployment
- Image Processing and Computer Vision
Full description
Job Description: AI/ML Engineer Conversational AI
Location: Bengaluru
Experience: 5+ Years
Mandatory Conversational AI Experience: Minimum 3 Years
Qualification: 15 Years of Full-Time Education
Job Summary
We are looking for an experienced AI/ML Engineer specializing in Conversational AI to design, develop, and deploy intelligent AI-powered applications. The ideal candidate should have strong knowledge of Natural Language Processing (NLP), Generative AI, machine learning, and cloud-based AI solutions, with the ability to build scalable, secure, and production-ready applications.
Key Responsibilities
- Design, develop, and implement AI/ML solutions with a focus on Conversational AI and intelligent virtual assistants.
- Build and enhance conversational agents, chatbots, and AI-powered applications.
- Integrate Generative AI models into applications to improve automation and user interactions.
- Apply Natural Language Processing (NLP), machine learning, deep learning, and neural network techniques.
- Develop and maintain production-ready AI pipelines across cloud-based and on-premises environments.
- Integrate cloud AI services and deploy AI models into scalable application environments.
- Monitor, evaluate, and optimize AI model performance, accuracy, scalability, and reliability.
- Collaborate with cross-functional teams to understand business requirements and deliver effective AI solutions.
- Participate in technical discussions, troubleshoot complex issues, and provide innovative solutions.
- Document technical designs, implementation approaches, and development processes.
- Provide technical guidance and support to junior team members.
Mandatory Skills
- Conversational AI
- Natural Language Processing (NLP)
- Chatbot and Virtual Assistant Development
- Generative AI (GenAI)
- AI/ML Application Development
- Cloud AI Services and Deployment Pipelines
- Production Deployment and Model Optimization
Good-to-Have Skills
- Deep Learning and Neural Networks
- Large Language Models (LLMs)
- Prompt Engineering
- Retrieval-Augmented Generation (RAG)
- AI Model Integration and Deployment
- Image Processing and Computer Vision
Required Qualifications and Experience
- Minimum 5 years of overall relevant experience in AI/ML engineering.
- At least 3 years of hands-on experience in Conversational AI.