AI & Cloud Infrastructure Engineer - Fintech AI/ML Systems

6 days ago

Mumbai, Maharashtra, India golden legand leasing and finance limited Full time ₹ 1,20,000 - ₹ 6,00,000 per year

Description :

Job Title : AI & Cloud Infrastructure Engineer - Fintech AI/ML Systems

Location : Mumbai (Onsite)

About the Role :


We are building a dedicated AI infrastructure team to power next-generation data and machine learning solutions for AashaPurti (Personal & Gold Loans) and India Online Pay (Payment Gateway).

As an AI & Cloud Infrastructure Engineer, you will design, implement, and manage scalable data and cloud platforms that enable AI/ML workflows, analytics, and real-time decision systems. You will work at the intersection of data engineering, cloud architecture, and MLOps to ensure reliability, performance, and compliance across all fintech systems.

Key Responsibilities :


- Architect and deploy cloud-native data and AI infrastructure (AWS, GCP, or Azure) for model training, deployment, and analytics.

- Design and maintain scalable data pipelines, data lakes, and feature stores for AI and ML use cases.

- Set up and manage Kubernetes-based compute clusters, container registries, and CI/CD pipelines for ML model delivery.

- Collaborate with Data Scientists and MLOps Engineers to automate training, deployment, and monitoring workflows.

- Implement infrastructure as code (IaC) using Terraform or CloudFormation.

- Ensure security, compliance, and reliability of data and model pipelines following RBI, GDPR, and data localization norms.

- Manage real-time data streaming and ingestion frameworks (Kafka, Kinesis, or Pub/Sub).

- Build and maintain observability stacks (logging, monitoring, alerting) for data and ML systems.

- Optimize cloud costs, compute resource allocation, and storage performance.

- Document architecture, configuration, and operational standards.

Required Skills & Qualifications :


- Education : B.E/B.Tech/MCA/M.Sc. in Computer Science, Cloud Engineering, or related field.

- Experience : 4- 8 years in data infrastructure, cloud architecture, or MLOps roles (preferably in fintech, banking, or payment systems).

Technical Skills :


- Strong expertise in cloud services - AWS (S3, Lambda, EKS, Redshift), GCP (BigQuery, Vertex AI), or Azure (Data Factory, Synapse).

- Hands-on experience with data engineering tools - Spark, Airflow, Kafka, dbt.

- Proficiency in Python or Go, and strong understanding of SQL/NoSQL systems (PostgreSQL, MongoDB, Cassandra).

- Experience with containerization and orchestration (Docker, Kubernetes).

- Proficient in Infrastructure-as-Code (Terraform, CloudFormation).

- Knowledge of networking, security groups, and IAM policies in cloud environments.

- Familiarity with CI/CD tools (GitHub Actions, Jenkins, ArgoCD).

Bonus Skills :


- Experience with MLflow, Kubeflow, or SageMaker.

- Exposure to monitoring tools (Prometheus, Grafana, ELK stack).

- Understanding of fintech data pipelines (transactions, fraud, credit scoring).

Soft Skills :


- Excellent problem-solving and analytical mindset.

- Strong ownership and ability to work in agile teams.

- Effective communication and documentation skills.

Compliance & Security Awareness :


- Familiarity with RBI, ISO 27001, and GDPR requirements for cloud-hosted financial data.

- Experience implementing data encryption, key management, and masking mechanisms.

Why Join Us?

- Shape the foundational infrastructure for AI and data-driven fintech systems.

- Work on cutting-edge cloud-native AI pipelines and distributed architectures.

- High-impact role in a new innovation team with direct visibility to leadership.

- Competitive compensation, growth opportunities, and modern work culture.

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