AI & Cloud Infrastructure Engineer - Fintech AI/ML Systems

4 weeks ago

Mumbai, India golden legand leasing and finance limited Full time

Description : Job Title : AI & Cloud Infrastructure Engineer - Fintech AI/ML SystemsLocation : 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. (ref:hirist.tech)

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