We are looking for an experienced AI/ML Architect to design, build, and evolve scalable, production-grade AI and Machine Learning platforms and solutions.

The ideal candidate should have strong hands-on expertise in Generative AI, Machine Learning, MLOps, cloud platforms, data engineering, and production ML pipelines. The candidate will be responsible for translating business requirements into robust AI/ML architectures while remaining hands-on with implementation, deployment, and optimization.

Key Responsibilities

- Design and architect scalable AI/ML and Generative AI solutions for enterprise applications.
- Define end-to-end ML architecture, covering data ingestion, model development, training, validation, deployment, monitoring, and continuous improvement.
- Build and maintain production-grade ML pipelines and MLOps workflows.
- Productionize machine learning models and ensure scalability, reliability, and performance.
- Design and implement CI/CD pipelines for ML applications and services.
- Work with Git, Docker, Jenkins, and scripting tools to automate development and deployment processes.
- Design cloud-native AI/ML solutions on AWS, GCP, and/or Azure.
- Implement containerized ML workloads using Docker and Kubernetes.
- Work with Kafka and other distributed data technologies for real-time data processing and ML applications.
- Develop machine learning solutions using Python and frameworks such as TensorFlow, Keras, and PyTorch.
- Implement MLOps platforms and tools such as MLflow, Kubeflow, Weights & Biases, AWS SageMaker, Vertex AI, DVC, Airflow, and Prefect.
- Design and optimize data engineering pipelines required for ML workloads.
- Apply statistical modeling, machine learning, data mining, and unstructured data analytics techniques.




- Establish best practices for model versioning, experiment tracking, model registry, monitoring, and governance.
- Collaborate with data scientists, data engineers, software engineers, cloud architects, and business stakeholders.
- Evaluate emerging AI/ML technologies and recommend appropriate solutions for enterprise adoption.
- Provide technical leadership and contribute to the evolution of the organization's AI/ML architecture.
- Troubleshoot complex technical issues across data, model, infrastructure, and deployment layers.
- Ensure AI/ML solutions meet security, scalability, reliability, and performance requirements.
- Support third-party integrations and external AI/ML platforms where required.

Required Skills & Experience

- Strong experience in AI/ML architecture and solution design.
- Hands-on experience with Generative AI, Machine Learning, and production ML pipelines.
- Strong understanding of the complete ML lifecycle and MLOps practices.
- Proven experience productionizing and deploying ML models.
- Solid programming skills in Python.
- Experience with TensorFlow, Keras, and/or PyTorch.
- Strong knowledge of CI/CD, Git, Docker, and Jenkins.
- Experience with at least one major cloud platform:
- AWS
- Google Cloud Platform (GCP)
- Microsoft Azure
- Hands-on experience with Kubernetes.
- Experience with Kafka and distributed data processing.
- Strong understanding of cloud build, deployment,



and orchestration tools.
- Experience with one or more MLOps platforms/tools such as:
- MLflow
- Kubeflow
- Weights & Biases
- AWS SageMaker
- Vertex AI
- DVC
- Airflow
- Prefect
- Strong knowledge of data engineering pipelines and data processing architectures.
- Understanding of statistical modeling, machine learning, data mining, and unstructured data analytics.
- Experience designing scalable and production-ready AI/ML systems.

Preferred Skills

- Experience with LLMs, Generative AI applications, RAG, and AI agents.
- Knowledge of model serving and inference frameworks.
- Experience with cloud-native ML architecture.
- Experience integrating AI/ML solutions with third-party platforms and enterprise applications.
- Knowledge of distributed systems and event-driven architectures.
- Experience with automated model monitoring and performance optimization.
- Exposure to AI governance, security, and responsible AI practices.

Soft Skills

- Strong architectural and problem-solving abilities.
- Ability to work independently as well as collaboratively with cross-functional teams.
- Excellent communication and stakeholder management skills.
- Ability to communicate complex technical concepts to both technical and non-technical stakeholders.
- Comfortable working with architects, engineers, data scientists, and business teams across geographies.
- Ability to balance low-level technical implementation with high-level architecture and technology evolution.
- Strong ownership, leadership, and decision-making skills.

Pay: ₹1,500,000.00 - ₹3,000,000.00 per year

Benefits:

- Health insurance
- Life insurance
- Provident Fund

Experience:

- AI/ML: 8 years (Preferred)

Work Location: In person

📌 AI/ML Architect (Bengaluru)
🏢 Jobbycart Technologies
📍 Bengaluru