Machine Learning Architect

Job Title : ML Architect

Location : Remote

Experience : 7-8+ Years

Job Overview :

We are looking for an experienced ML Architect with strong expertise in designing, developing, and deploying scalable Machine Learning and AI solutions. The ideal candidate should have hands-on experience in ML model development, MLOps practices, cloud platforms, and modern AI/GenAI frameworks.

This role requires a strong technical leader who can architect end-to-end AI/ML systems, optimize model deployment pipelines, and collaborate with cross-functional teams to deliver high-impact AI-driven solutions.

Key Responsibilities :

- Design and architect scalable Machine Learning and AI solutions for enterprise applications

- Build and manage end-to-end ML pipelines, data workflows, and model deployment architectures

- Develop, train, evaluate, and optimize ML/DL models using modern AI frameworks

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

- Deploy and manage ML models on cloud platforms such as AWS, Azure, or GCP

- Work with large-scale datasets and optimize model performance, scalability, and reliability

- Design and implement GenAI solutions, LLM integrations, and Retrieval-Augmented Generation (RAG) pipelines

- Collaborate with engineering, product, and business teams to translate requirements into AI-driven solutions

- Ensure system reliability, security, maintainability, and production readiness

- Mentor technical teams and contribute to architectural and technical decision-making

Required Skills & Experience :

- 7-8+ years of experience in Machine Learning, AI Engineering, or Solution Architecture

- Strong programming expertise in Python

- Hands-on experience with ML frameworks such as TensorFlow, PyTorch, and Scikit-learn

- Strong understanding of Machine Learning, Deep Learning, NLP, and AI model deployment

- Experience in building scalable MLOps pipelines and deployment workflows

- Expertise in cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP)

- Experience with Docker, Kubernetes, CI/CD pipelines, and containerized deployments

- Strong understanding of APIs, microservices architecture, and distributed systems

- Excellent analytical, debugging, and problem-solving skills

Preferred Skills :

- Experience with Generative AI, LLMs, LangChain, Vector Databases, and RAG architectures

- Familiarity with AI orchestration frameworks and model serving platforms

- Experience with data engineering and scalable data pipeline design

- Exposure to monitoring and observability tools for ML systems

Preferred Candidate Profile :

- Strong communication and stakeholder management skills

- Ability to work independently in a remote environment

- Passion for innovation and building scalable AI-driven products

- Experience leading technical teams or architecting enterprise-grade ML solutions