Total 8 job vacancies by Jeet Analytics Pte. Ltd.

Description

We are seeking an AI Engineer with strong hands-on experience in Microsoft Azure AI services to design, develop, and deploy AI-powered solutions. The role focuses on leveraging Azure-native AI capabilities, data services, and machine learning tools to build scalable and production-ready intelligent systems.

Key Responsibilities

Design and implement AI solutions using Azure AI services

Build and deploy machine learning / AI models on Azure cloud

Develop APIs and services to integrate AI capabilities into enterprise applications

Work with structured and unstructured data for model training and inference

Collaborate with business and technical teams to define AI requirements

Deploy, monitor, and optimize AI solutions in Azure environments

Ensure performance, scalability, and reliability of AI systems

Support troubleshooting and enhancement of existing AI solutions

Required Skills & Experience

Hands-on experience with Microsoft Azure AI / Azure Machine Learning

Strong understanding of AI/ML concepts and model lifecycle

Experience deploying and consuming models via APIs

Strong programming skills in Python / Java / similar languages

Experience working with data pipelines and data processing

Knowledge of REST API integration and system design

Good to Have

Experience with Azure services (App Service, Functions, AKS, Data Factory)

Familiarity with ML frameworks (Scikit-learn, TensorFlow, PyTorch)

Exposure to MLOps practices (CI/CD for ML models)

Experience with cloud monitoring and logging tools

Understanding of model evaluation and performance tuning

Soft Skills

Strong analytical and problem-solving skills

Good communication and collaboration abilities

Ability to work in Agile teams

Eagerness to learn and adapt to new cloud AI technologies

Description

We are seeking an AI Engineer to design and implement Generative AI (GenAI) solutions that enhance enterprise applications and business processes. The role focuses on integrating Large Language Models (LLMs), building intelligent automation, and enabling AI-driven capabilities across platforms.

Key Responsibilities

Design and develop GenAI-based solutions using LLMs for enterprise use cases

Integrate AI services with existing applications and platforms via APIs

Develop prompt engineering workflows to improve model accuracy and relevance

Build AI-powered automation, assistants, and intelligent workflows

Work with structured and unstructured data for AI-driven solutions

Collaborate with business and technical teams to define AI requirements

Support deployment, monitoring, and optimization of AI solutions

Ensure scalability, performance, and reliability of AI components

Required Skills & Experience

Experience in Generative AI / LLM-based application development

Strong programming experience in any modern language (e.g., Python, Java, or similar)

Experience integrating APIs and backend services

Understanding of AI concepts such as LLMs, embeddings, and prompt engineering

Experience working with data processing and transformation

Familiarity with cloud-based application development

Preferred Skills

Experience with GenAI frameworks (LangChain, LlamaIndex, or similar)

Knowledge of Retrieval Augmented Generation (RAG) concepts

Exposure to vector databases (FAISS, Pinecone, Weaviate, etc.)

Understanding of AI deployment concepts and containerization (Docker)

Exposure to enterprise AI or chatbot development

Soft Skills

Strong analytical and problem-solving skills

Good communication and collaboration abilities

Ability to work in Agile environments

Eagerness to learn and adapt to emerging AI technologies

Description

IAM Operations

• Manage the day-to-day operations of IAM systems, including provisioning, de-provisioning, and lifecycle management of user and machine identities.
• Administer and maintain Active Directory and LDAP directory services, ensuring accurate and up-to-date identity records across the environment.
• Operate and support One Identity solutions, handling configuration, troubleshooting, and routine maintenance.
• Process access requests in a timely manner, ensuring requests are fulfilled in accordance with established policies and approval workflows.
• Monitor IAM systems for anomalies, policy violations, and potential security threats, escalating and resolving issues promptly.
• Maintain accurate documentation of IAM configurations, procedures, access records, and operational runbooks.

Access Governance and Compliance

• Support periodic access reviews and IAM audits, identifying and remediating access risks in line with internal policies and regulatory requirements.
• Assist in tracking IAM-related risks and remediation action plans, providing updates to relevant stakeholders.
• Generate reports on access activity, identity lifecycle status, and compliance posture for management and audit purposes.

Stakeholder Support

• Serve as the first point of contact for IAM-related issues and queries from users and IT teams, providing clear and timely resolution.
• Work closely with the broader IT and security teams to ensure identity and access controls remain aligned with business needs.
• Maintain service quality and operational consistency as the team transitions project-focused members to new IAM initiatives.

Job Description

We are seeking an experienced Lead Data Integration & ETL Engineer to design, develop, and support enterprise-scale data integration solutions for banking and financial services clients.

The successful candidate will lead technical delivery teams, provide architectural guidance, and ensure the successful implementation of ETL and data warehousing solutions using modern data technologies.

Key Responsibilities

• Lead the design and development of ETL/Data Integration solutions.
• Manage end-to-end data migration and integration projects.
• Work closely with business stakeholders, architects, and project managers.
• Develop and optimize ETL processes using Talend and other data integration tools.
• Ensure data quality, governance, and compliance standards are met.
• Provide technical leadership and mentoring to junior team members.
• Support production deployments and resolve technical issues.
• Participate in solution design, code reviews, and best practice implementation.

Requirements

• Bachelor's Degree in Computer Science, Information Technology, Engineering, or related discipline.
• Minimum 12 years of experience in Data Integration, ETL, and Data Warehousing.
• Strong hands-on experience with Talend ETL.
• Experience with SQL, Oracle, Hadoop, Spark, Hive, or related Big Data technologies.
• Experience in Banking or Financial Services domain is preferred.
• Strong analytical, problem-solving, and communication skills.
• Experience leading technical teams and managing project deliverables.

We are seeking a highly experienced Application Development Manager to lead the design and delivery of Model Configuration Framework (MCF) solutions within the Risk and Finance domain. This role combines hands-on technical leadership with deep expertise in regulatory risk modeling and financial systems.

Key Responsibilities

•Lead development and implementation of MCF-based applications supporting risk models (PD, LGD, EAD, ECL, CVaR).

•Manage end-to-end application lifecycle: design, development, testing, deployment, and production support.

•Ensure alignment with regulatory frameworks including Basel IV, IFRS9, ICAAP, IRRBB, and regional requirements (MAS, HKMA, APRA).

•Drive architecture and solution design for scalable, high-performance risk platforms.

•Integrate ESG and climate risk capabilities into model frameworks (TCFD, IFRS S1 & S2).

•Lead and mentor development teams; collaborate with Risk, Finance, and Data stakeholders.

•Implement automation and data pipelines using Python, SQL, ETL tools and reporting platforms.

•Oversee regulatory reporting, audit support, and system controls.

Mandatory Requirements (Strict Screening)

•15-20 years of experience in application development within banking/financial services.

•Strong domain knowledge in risk modeling / regulatory frameworks (IFRS9, Basel, ICAAP, IRRBB).

•Proven experience in MCF / model platforms / risk systems development.

•Hands-on expertise in Python, SQL, ETL, and enterprise data platforms.

•Experience delivering solutions for regulatory reporting (MAS preferred).

•Demonstrated team leadership and stakeholder management experience.

•Exposure to ESG / Climate Risk solutions.

•Experience with ALM / FTP / Liquidity Risk systems.

•Certifications such as CFA, FRM, or ESG Investing.

•Familiarity with cloud or distributed data platforms (Hadoop/Spark).

Job Description

We are looking for an experienced senior data analyst / Data Engineer to support enterprise data engineering, analytics, and data warehousing initiatives within the Banking and Financial Services domain. The successful candidate will contribute to the design, development, and implementation of scalable data solutions across complex business environments.

Key Responsibilities

Collaborate with stakeholders to gather and analyse business requirements and translate them into technical solutions.

Design, develop, test, and deploy ETL/data pipelines using IBM DataStage, Control-M, and Airflow.

Build and optimise big data solutions using Spark, Hive, SQL, Python, and PySpark.

Support real-time and batch data ingestion using Kafka / Amazon Kinesis.

Develop and maintain data marts and data warehouse solutions for analytics and reporting.

Support testing, deployment, issue resolution, and stakeholder communication.

Requirements

Degree in computer science, engineering, information technology, or related discipline.

At least 12 years of relevant experience in Data Engineering, Data Analytics, or Data Warehousing.

Experience in Banking, Financial Services, Regulatory Reporting, or Risk Data environments will be advantageous.

Proficiency in:

• Spark / Hive / SQL / Python / PySpark / UNIX
• IBM DataStage / Control-M / Airflow
• Teradata / Oracle / DB2 / Data Modelling / FSLDM

Experience with AWS cloud technologies, including AWS Glue, Athena, Redshift, Kinesis, and/or Azure Synapse Analytics.

Familiarity with BI/reporting tools such as Tableau/Power BI is a plus.

Why Join Us

Opportunity to work on enterprise-scale data transformation and analytics initiatives

Exposure to modern cloud, big data, and data engineering technologies

Collaborative and growth-oriented work environment

• 10+ years of Software Engineer experience

• Proven expertise managing OpenShift (OCP) environments in enterprise scale production deployments.

• Hands on experience with infrastructure setup and sizing, performance tuning, and capacity assessment for AI workloads.

• Experience supporting Oracle Database from an application infrastructure perspective.

• Practical knowledge of certificate management, secrets management, and key handling.

• Experience implementing CI/CD pipelines and infrastructure automation.

• Strong background in security, vulnerability management, and compliance controls.

• Proven experience designing and implementing DR infrastructure for mission critical platforms.

• Experience working with AWS cloud services and hybrid cloud integrations.

• Strong coordination and leadership skills to work across Infrastructure, Network, Security, and Application teams.

• Experience with containerization and orchestration tools (Docker, Kubernetes).

• OpenShift & Kubernetes Platform Engineering

• DR Setup and Failover strategies, testing and resilience

• Security, Automation and Observability

• Hybrid Cloud + DR architecture

•Lead and manage end to end infrastructure for enterprise Gen AI applications hosted on OpenShift (OCP) platforms.

•Own capacity planning and sizing for OpenShift clusters, including OCP pods, Oracle databases, Redis caches, Dell ECS storage, Elastic DB, Postgres, Redhat, Ubuntu (optional) and related infrastructure components

•Design and operationalize Disaster Recovery (DR) infrastructure for Gen AI platforms, ensuring high availability and resilience

•Lead E2E DR setup, including replication, failover, testing, and documentation, in collaboration with infrastructure and network teams.

•Manage certificate lifecycle (TLS/SSL), key management, and secrets handling across Gen AI applications and platforms

•Implement and oversee vulnerability management, patching, and remediation across containers, Kubernetes, and underlying infrastructure

•Support and coordinate penetration testing activities, addressing infrastructure related findings and security gaps

•Good understanding of AWS services (EC2, VPC, CloudWatch, Lambda, Bedrock) and tools (Terraform, CloudFormation) alongside on Prem OpenShift environments.

•Operate and support Control M schedulers, logging, monitoring, and alerting tools for platform observability

•Bonus: experience/knowledge of open weight LLM models for text and vision use cases.

Requirements

•Engineering experience or demonstrated deeper experience setting up infrastructure and tools that enable scalable, secure, and efficient software development and deployment. You'll work closely with Technical Delivery Manger, Development, DevOps, and security teams to ensure platform reliability and performance

•Proven expertise managing OpenShift (OCP) environments in enterprise scale production deployments.

•Hands on experience with infrastructure setup and sizing, performance tuning, and capacity assessment for AI workloads.

•Experience supporting Oracle Database from an application infrastructure perspective.

•Practical knowledge of certificate management, secrets management, and key handling.

•Experience implementing CI/CD pipelines and infrastructure automation.

•Strong background in security, vulnerability management, and compliance controls.

•Proven experience designing and implementing DR infrastructure for mission critical platforms.

•Experience working with AWS cloud services and hybrid cloud integrations.

•Strong coordination and leadership skills to work across Infrastructure, Network, Security, and Application teams.

•Experience with containerization and orchestration tools (Docker, Kubernetes).