The Role
Design and implement end-to-end ML architectures and scalable Java backend systems, and create cross-platform solution architectures. Lead model lifecycle, MLOps standards, cloud-native deployments, microservices design, integrations, CI/CD, and stakeholder alignment across product, data engineering, and infrastructure teams.
Summary Generated by Built In
This is a remote position.
1. 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.
2. 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.
3. 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.
Skills Required
- 8+ years in ML/DL, data science, or AI-related roles
- Expertise in Python
- Experience with TensorFlow
- Experience with PyTorch
- Experience with Scikit-learn
- Experience with distributed computing (Spark, Dask)
- Cloud-native ML deployment experience (AWS SageMaker, Azure ML, GCP Vertex AI)
- Familiarity with Kubeflow
- Familiarity with MLflow
- Experience with Airflow
- Experience with Docker and Kubernetes
- Proficiency in Java 11+
- Experience with Spring Boot
- Experience designing RESTful APIs
- Experience with ORM frameworks (e.g., Hibernate)
- Experience with messaging systems (Kafka, RabbitMQ)
- Strong cloud-native development experience (AWS, Azure, GCP)
- Experience with microservices, DDD, and clean architecture
- Experience with CI/CD, DevOps practices, and solution architecture
- Experience with performance tuning, scalability, reliability, and resilience planning
- Strong communication, documentation, and stakeholder management skills
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The Company
What We Do
Indium is an AI-driven digital engineering company that helps enterprises build, scale, and innovate with cutting-edge technology. We specialize in custom solutions, ensuring every engagement is tailored to business needs with a relentless customer-first approach. Our expertise spans Generative AI, Product Engineering, Intelligent Automation, Data & AI, Quality Engineering, and Gaming, delivering high-impact solutions that drive real business impact. With 5000+ associates globally, we partner with Fortune 500, Global 2000, and leading technology firms across Financial Services, Healthcare, Manufacturing, Retail, and Technology—driving impact in North America, India, the UK, Singapore, Australia, and Japan to keep businesses ahead in an AI-first world.
