Job Description:

We are looking for an experienced AI/ML Architect to design, develop, and implement scalable Artificial Intelligence and Machine Learning solutions. The ideal candidate will lead AI strategy, architect enterprise-grade ML systems, guide engineering teams, and drive innovation using modern AI technologies including Generative AI, LLMs, NLP, Computer Vision, and Predictive Analytics.

Responsibilities:

- Design scalable AI/ML system architectures for enterprise applications.

- Define end-to-end AI solution strategy and technical roadmap.

- Select appropriate AI/ML models, frameworks, and cloud technologies.

- Build secure, reliable, and high-performance AI platforms.

- Develop and optimize machine learning models and pipelines.

- Work on NLP, Computer Vision, Recommendation Systems, Predictive Analytics, and Generative AI use cases.

- Design and implement LLM-based applications using OpenAI, Azure AI, Hugging Face, LangChain, etc.

- Fine-tune and deploy AI models for production environments.

- Design data pipelines for training and inference workloads.

- Implement MLOps practices including model monitoring, versioning, CI/CD, and automation.

- Ensure model scalability, performance optimization, and governance.

- Architect AI solutions on AWS, Azure, or Google Cloud platforms.

- Work with Docker, Kubernetes, APIs, and distributed systems.

- Ensure data security,



compliance, and scalability standards.

TECHNICAL SKILLS:

- Solid experience in Python, TensorFlow, PyTorch, Scikit-learn.

- Expertise in Machine Learning, Deep Learning, and Generative AI.

- Experience with LLMs, RAG architecture, vector databases, and prompt engineering.

- Knowledge of NLP, Computer Vision, and predictive modeling.

- Experience with cloud platforms: AWS/Azure/GCP.

- Familiarity with MLOps tools and deployment pipelines.

- Experience with REST APIs, microservices, and containerization.

- SQL/NoSQL databases

- Vector Databases (Pinecone, FAISS, Weaviate, ChromaDB)

- Git, CI/CD tools

- Docker & Kubernetes

QUALIFICATIONS & SKILLS:

- Bachelor’s/Master’s degree in Computer Science, AI, Data Science, or related field.

- Relevant AI/ML certifications are a plus.

- Experience working on enterprise AI transformation projects.

- Strong understanding of AI ethics and responsible AI.

- Excellent communication and leadership skills.

- Ability to manage multiple projects and stakeholders.

- Mentor AI/ML engineers and development teams.

- Collaborate with business stakeholders to identify AI opportunities.

- Participate in technical discussions, client meetings, and solution presentations.

- Drive innovation and best practices within the organization.

📌 AI Architect - Artificial Intelligence (India)
🏢 Flexsin
📍 India