AI/ML Architect for Enterprise Solutions
Budget / Salary₹12,500–37,500
TypeFreelance project
LocationRemote
Posted1 hour ago
*Job Title: AI/ML Architect*
*Experience:* 8+ Years
*Employment Type:* C2C
*Priority:* P1
*Location:* Remote
*Shift Timing:* 11:00 AM – 9:00 PM IST
*Openings:* 1
*UAN Required*
## Job Summary
We are looking for an experienced and hands-on *AI/ML Architect* to design, develop, and deliver scalable enterprise AI/ML and Generative AI solutions.
The ideal candidate will have strong expertise in AI/ML architecture, Python development, Generative AI, LLMs, RAG, cloud platforms, and MLOps/LLMOps. This role requires a hands-on technical leader who can drive solutions from architecture and development through deployment, monitoring, and operationalization.
## Key Responsibilities
* Architect, design, and implement end-to-end AI, ML, and Generative AI solutions.
* Translate business requirements into scalable, secure, and production-ready technical architectures.
* Develop and integrate AI/ML solutions using Python, APIs, AI frameworks, and cloud services.
* Design solutions using *LLMs, RAG, embeddings, vector databases, vector search, and agentic AI*.
* Build capabilities for model training, deployment, inference, evaluation, monitoring, and lifecycle management.
* Implement *MLOps and LLMOps* practices including CI/CD, model and prompt versioning, automated testing, observability, and monitoring.
* Integrate AI solutions with enterprise applications, APIs, data platforms, and cloud services.
* Ensure security, privacy, Responsible AI, scalability, performance, reliability, and cost optimization.
* Provide technical leadership through architecture design, hands-on development, code reviews, troubleshooting, and mentoring.
## Required Skills
* *8+ years of experience* in AI/ML engineering, architecture, and enterprise solution delivery.
* Strong hands-on development experience with *Python*.
* Expertise in *Machine Learning, Deep Learning, NLP, and Generative AI/LLMs*.
* Strong experience with *RAG, embeddings, vector databases/search, prompt engineering, context engineering, and LLM evaluation*.
* Experience with *Agentic AI and model orchestration frameworks*.
* Strong hands-on experience with at least one major cloud platform: *Azure, AWS, or GCP*.
* Experience with *MLOps/LLMOps, CI/CD, model deployment, monitoring, containers, APIs, and microservices*.
* Experience working with structured and unstructured data, data pipelines, and enterprise data platforms.
* Strong understanding of *AI security, privacy, Responsible AI, and enterprise governance*.
* Excellent communication and stakeholder management skills.
## Ideal Candidate
The ideal candidate should be a *hands-on AI/ML technical architect* with strong enterprise experience who can independently design solutions, develop production-grade implementations, troubleshoot complex issues, and provide technical leadership across AI, engineering, architecture, product, and business teams.
*Experience:* 8+ Years
*Employment Type:* C2C
*Priority:* P1
*Location:* Remote
*Shift Timing:* 11:00 AM – 9:00 PM IST
*Openings:* 1
*UAN Required*
## Job Summary
We are looking for an experienced and hands-on *AI/ML Architect* to design, develop, and deliver scalable enterprise AI/ML and Generative AI solutions.
The ideal candidate will have strong expertise in AI/ML architecture, Python development, Generative AI, LLMs, RAG, cloud platforms, and MLOps/LLMOps. This role requires a hands-on technical leader who can drive solutions from architecture and development through deployment, monitoring, and operationalization.
## Key Responsibilities
* Architect, design, and implement end-to-end AI, ML, and Generative AI solutions.
* Translate business requirements into scalable, secure, and production-ready technical architectures.
* Develop and integrate AI/ML solutions using Python, APIs, AI frameworks, and cloud services.
* Design solutions using *LLMs, RAG, embeddings, vector databases, vector search, and agentic AI*.
* Build capabilities for model training, deployment, inference, evaluation, monitoring, and lifecycle management.
* Implement *MLOps and LLMOps* practices including CI/CD, model and prompt versioning, automated testing, observability, and monitoring.
* Integrate AI solutions with enterprise applications, APIs, data platforms, and cloud services.
* Ensure security, privacy, Responsible AI, scalability, performance, reliability, and cost optimization.
* Provide technical leadership through architecture design, hands-on development, code reviews, troubleshooting, and mentoring.
## Required Skills
* *8+ years of experience* in AI/ML engineering, architecture, and enterprise solution delivery.
* Strong hands-on development experience with *Python*.
* Expertise in *Machine Learning, Deep Learning, NLP, and Generative AI/LLMs*.
* Strong experience with *RAG, embeddings, vector databases/search, prompt engineering, context engineering, and LLM evaluation*.
* Experience with *Agentic AI and model orchestration frameworks*.
* Strong hands-on experience with at least one major cloud platform: *Azure, AWS, or GCP*.
* Experience with *MLOps/LLMOps, CI/CD, model deployment, monitoring, containers, APIs, and microservices*.
* Experience working with structured and unstructured data, data pipelines, and enterprise data platforms.
* Strong understanding of *AI security, privacy, Responsible AI, and enterprise governance*.
* Excellent communication and stakeholder management skills.
## Ideal Candidate
The ideal candidate should be a *hands-on AI/ML technical architect* with strong enterprise experience who can independently design solutions, develop production-grade implementations, troubleshoot complex issues, and provide technical leadership across AI, engineering, architecture, product, and business teams.
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