AI/ML Architect, Java Architect / Solution Architect
Chennai City Corporation, India
Indium Software
Indium is a fast-growing, AI-driven digital engineering services company, developing cutting-edge solutions across applications and data. With deep expertise in next-generation offerings that combine Generative AI, Data, and Product...Location: Chennai/Bangalore/Pune/Hyderabad
Click this Link to know more about you : https://forms.office.com/r/BeMsh3teDC
Job Title: AI/ML Architect
Key Responsibilities
Design and review machine learning architecture pipelines end-to-end
Architect scalable models using tools like TensorFlow, PyTorch, Scikit-learn
Drive data strategy, feature stores, model lifecycle (training, deployment, monitoring)
Collaborate with data engineering and product teams to align technical goals
Define standards for MLOps, model governance, and responsible AI
Must-Have Skills
8+ years in ML/DL, data science, or AI-related roles
Expertise in Python, ML frameworks, distributed computing (Spark, Dask)
Cloud-native ML deployment on AWS SageMaker, Azure ML, GCP Vertex AI
Knowledge of Kubeflow, MLFlow, Airflow, Docker/K8s for ML pipelines
Strong grasp of ML lifecycle management, monitoring, and retraining
Job Title: Java Architect
Key Responsibilities
Own the technical design for backend systems built on Java / Spring Boot
Create solution blueprints, architecture documents, and design patterns
Guide teams on microservices, containerization, API design, and DevOps
Conduct code reviews, architecture assessments, and risk mitigation
Collaborate with product and infrastructure teams for seamless delivery
Must-Have Skills
Proficiency in Java 11+/Spring Boot, RESTful APIs, ORM frameworks
Experience with Kubernetes, Docker, messaging systems (Kafka, RabbitMQ)
Strong grasp of cloud-native development (AWS, Azure, GCP)
In-depth understanding of microservices, DDD, clean architecture
Performance tuning, scalability, and reliability design
Job Title: Solution Architect
Key Responsibilities
Analyze requirements and design technical solutions across platforms
Create architecture roadmaps for applications, integrations, and cloud infrastructure
Lead POCs, architecture evaluations, and tech selection
Align solutions with enterprise architecture standards and security best practices
Act as a technical bridge between stakeholders, developers, and leadership
Must-Have Skills
Strong experience in application architecture, APIs, and system integration
Familiarity with cloud platforms (Azure, AWS, GCP)
Solid understanding of data architecture, DevOps practices, CI/CD pipelines
Experience with design patterns, scalability, and resilience planning
Great communication, documentation, and stakeholder management skills
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow APIs Architecture AWS Azure CI/CD Data strategy DevOps Docker Engineering GCP Java Kafka Kubeflow Kubernetes Machine Learning Microservices MLFlow MLOps Pipelines Python PyTorch R RabbitMQ Responsible AI SageMaker Scikit-learn Security Spark TensorFlow Vertex AI
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