AI/ML 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

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