AI/ML Architect, Java Architect / Solution Architect

Location: Chennai/Bangalore/Pune/Hyderabad

• 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
• 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
• 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
• 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

Must-Have Skills

• Knowledge of Kubeflow, MLFlow, Airflow, Docker/K8s for ML pipelines
• Strong grasp of ML lifecycle management, monitoring, and retraining
• 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
• Proficiency in Java 11+/Spring Boot, RESTful APIs, ORM frameworks
• Knowledge of Kubeflow, MLFlow, Airflow, Docker/K8s for ML pipelines
• Strong grasp of ML lifecycle management, monitoring, and retraining
• 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
• Proficiency in Java 11+/Spring Boot, RESTful APIs, ORM frameworks

Job Title: Java Architect

Key Responsibilities

Must-Have Skills

• 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
• 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
• 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
• 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

Job Title: Solution Architect

Key Responsibilities

• Act as a technical bridge between stakeholders, developers, and leadership
• 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
• Act as a technical bridge between stakeholders, developers, and leadership
• 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

Must-Have Skills