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
Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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