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We are looking for an outstanding ML Architect (Deployments) with expertise in deploying Machine Learning solutions/models into production and scaling them to serve millions of customers. A candidate with an adaptable and productive working style which fits in a fast-moving environment.

Skills:

- 5+ years deploying Machine Learning pipelines in large enterprise production systems.

- Experience developing end to end ML solutions from business hypothesis to deployment / understanding the entirety of the ML development life cycle.
- Expert in modern software development practices; solid experience using source control management (CI/CD).
- Proficient in designing relevant architecture / microservices to fulfil application integration, model monitoring, training / re-training, model management, model deployment, model experimentation/development, alert mechanisms.
- Experience with public cloud platforms (Azure, AWS, GCP).
- Serverless services like lambda, azure functions, and/or cloud functions.
- Orchestration services like data factory, data pipeline, and/or data flow.
- Data science workbench/managed services like azure machine learning, sagemaker, and/or AI platform.
- Data warehouse services like snowflake, redshift, bigquery, azure sql dw, AWS Redshift.
- Distributed computing services like Pyspark, EMR, Databricks.
- Data storage services like cloud storage, S3, blob, S3 Glacier.
- Data visualization tools like Power BI, Tableau, Quicksight, and/or Qlik.
- Proven experience serving up predictive algorithms and analytics through batch and real-time APIs.
- Solid working experience with software engineers, data scientists, product owners, business analysts, project managers, and business stakeholders to design the holistic solution.
- Strong technical acumen around automated testing.
- Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.)
- Strong hands-on experience with statistical packages and ML libraries (e.g., Python scikit learn, Spark MLlib, etc.)
- Experience in effective data exploration and visualization (e.g., Excel, Power BI, Tableau, Qlik, etc.)
- Experience in developing and debugging in one or more of the languages Java, Python.
- Ability to work in cross functional teams.
- Apply Machine Learning techniques in production including, but not limited to, neuralnets, regression, decision trees, random forests, ensembles, SVM, Bayesian models, K-Means, etc.

Roles and Responsibilities:

Deploying ML models into production, and scaling them to serve millions of customers.

Technical solutioning skills with deep understanding of technical API integrations, AI / Data Science, BigData and public cloud architectures / deployments in a SaaS environment.

Strong stakeholder relationship management skills - able to influence and manage the expectations of senior executives.
Strong networking skills with the ability to build and maintain strong relationships with both business, operations and technology teams internally and externally.

Provide software design and programming support to projects.

 Qualifications & Experience:

Engineering and post graduate candidates, preferably in Computer Science, from premier institutions with proven work experience as a Machine Learning Architect (Deployments) or a similar role for 5-7 years.

The Opportunity: We are seeking a highly experienced and passionate Lead Adobe Workfront & Fusion Developer to join our growing team. In this pivotal role, you will be instrumental in designing, developing, and implementing robust work management solutions and complex integrations using Adobe Workfront and Adobe Workfront Fusion. You will provide technical leadership, mentor junior developers, and play a critical role in optimizing our operational workflows.

Key Responsibilities:

• Solution Design & Architecture: Lead the end-to-end design and architectural planning of complex Workfront and Fusion solutions, ensuring scalability, maintainability, and alignment with business objectives.
• Development & Implementation: Hands-on development and configuration within Adobe Workfront, including custom forms, project templates, workflows, reports, dashboards, and access controls.
• Adobe Workfront Fusion Expertise: Design, build, and optimize intricate Workfront Fusion scenarios for data synchronization, automation, and integrating Workfront with various internal and external systems.
• API & Integration Development: Develop and manage API integrations between Workfront and other enterprise platforms (e.g., CRM, ERP, Marketing Automation, Asset Management) using Workfront Fusion, webhooks, and custom scripting.
• Technical Leadership & Mentorship: Provide technical guidance, mentorship, and code reviews to a team of Workfront/Fusion developers, ensuring best practices and high-quality deliverables.
• Requirements Analysis: Collaborate with business stakeholders to gather and analyze complex requirements, translating them into technical specifications and actionable development plans.
• Troubleshooting & Optimization: Diagnose and resolve technical issues related to Workfront configurations and Fusion integrations. Proactively identify and implement performance improvements.
• Documentation: Create and maintain comprehensive technical documentation, including solution designs, integration specifications, and operational procedures.
• Stay Current: Keep abreast of the latest Adobe Workfront and Workfront Fusion features, updates, and industry best practices.

Required Skills & Experience:

• 8+ years of total experience in software development, IT, or business systems analysis, with a strong focus on enterprise applications.
• Minimum 4+ years of hands-on, direct experience specifically implementing, configuring, and developing solutions within Adobe Workfront and Adobe Workfront Fusion.
• Proven expertise in designing and implementing complex Workfront workflows, custom data forms, and reporting structures.
• Demonstrable experience building and optimizing sophisticated Workfront Fusion scenarios, including knowledge of HTTP modules, JSON parsing, error handling, and various data manipulation techniques.
• Strong understanding of APIs (REST, SOAP) and experience with API integration concepts.
• Proficiency in JavaScript for scripting within Workfront or Fusion, and familiarity with HTML, CSS for Workfront UI customization.
• Experience with relational databases and SQL is a plus.
• Excellent problem-solving skills, analytical thinking, and attention to detail.
• Strong communication (written and verbal) and interpersonal skills, with the ability to effectively collaborate with technical and non-technical stakeholders.
• Proven ability to lead technical initiatives and mentor team members.

Highly Desired (Bonus Points):

• Adobe Workfront Core Developer Certification.
• Adobe Workfront Fusion Certification.
• Experience with other Adobe Experience Cloud products (e.g., AEM, Marketo Engage).
• Familiarity with Agile development methodologies.

Requirements

• 12+ years of overall SAP consulting/architecture experience, with at least 4–5 years on SAP BTP and its predecessor (HCP/SCP).
• Minimum 3 full-cycle SAP BTP implementation projects as Solution/Integration Architect or Technical Lead in large enterprise environments.
• Hands-on delivery experience with SAP AI Core or at least 2 production AI/ML implementations in the SAP ecosystem (not just POC/demo).
• Deep familiarity with SAP S/4HANA cloud integration patterns, side-by-side extensibility, and ABAP-to-BTP migration strategies.
• Experience leading architecture design sessions, reviewing technical deliverables, and owning solution blueprints for enterprise clients.
• Exposure to multi-cloud environments and ability to design hybrid landscapes integrating SAP BTP with hyperscalers.
• Prior client-facing consulting or practice-building experience in a Big 4, SAP partner, or independent software vendor context preferred.

Roles & Responsibilities

• Contribute to IP creation — accelerators, reusable assets, reference architectures, and practice-building initiatives.
• Design BTP solution architectures covering SAP Integration Suite, Extension Suite, Data and Analytics cloud, and SAP Build portfolio.
• Architect and deploy SAP AI Core pipelines — model serving, ML Ops workflows, and custom inference endpoints in production.
• Lead development of cloud integration flows using SAP Integration Suite (CPI), API Management, and Event Mesh for hybrid and multi-cloud landscapes.
• Drive SAP BTP subaccount strategy, environment provisioning, identity and access management (IAS/IPS), and security posture.
• Define and govern integration patterns — synchronous/asynchronous, event-driven, point-to-point, and hub-and-spoke models.
• Enable AI use cases using SAP AI Launchpad, Foundation Models, and third-party LLM integrations via BTP Generative AI Hub.
• Build and mentor a team of consultants and developers; run architecture workshops, enablement sessions, and CoE activities.
• Evaluate and recommend SAP BTP service mix against custom cloud-native alternatives to optimize TCO and roadmap alignment.
• Stay current with SAP roadmap, RISE with SAP, GROW with SAP, and relevant cloud platform evolution (AWS, Azure, GCP).

Certifications 

• Preferred / expected - C_BTP_2408 — SAP Certified Associate, BTP ; P_BTP_2408 — SAP Certified Professional, BTP ; C_AIG_2412 — SAP AI & GenAI ; C_ARCIG_2404 — SAP Integration Solution Architect ; C_HANADEV — SAP HANA Cloud Developer
• Good to have - AWS Solutions Architect, Azure / GCP Professional ; SAP Analytics Cloud

Required Technical Skills

 Experience required: 5-8 yrs.  Minimum 5 years of ServiceNow Design and Development experience apart from

support/admin.  Good to have any #ServiceNow Implementation Specialist Certification or Application

Developer Certification.  #ITSM/ #ITBM/ #ITOM/ #SecurityOps/ #grc development experience (Good to have).  Hand on experience in Integration of third-party API's - Primary skills: ServiceNow

#ITSM/GRC Dev engineer.  Must be CSA certified and great plus if certified as Implementation specialist.  Hands On Experience in #Integration of #API's. Preferred

 Minimum years of experience: 3 years in ServiceNow development

Certification is mandatory - #CAD Custom Application Development

Role Objective: 

Ensure that our software products are of the highest quality by utilizing manual and automated testing techniques, excellent communication, and logical reasoning skills. 

Roles & Responsibilities: 

Test Strategy and Planning: 

• Design, develop, and implement comprehensive test strategies and plans. 
• Collaborate with product managers and developers to understand product requirements and define appropriate test scenarios. 

Test Development and Execution: 

• Develop detailed, comprehensive, and well-structured test cases. 
• Execute manual test cases and analyze results. 
• Set up, maintain, and operate test automation frameworks. 
• Detect and report software defects using a bug tracking system, and work with the development team to troubleshoot, debug, and resolve them. 

Continuous Improvement: 

• Review and analyze the effectiveness and efficiency of existing systems and develop strategies for improving or further leveraging these systems. 
• Research new testing tools, methodologies, and best practices and share findings with the team. 

Collaboration & Communication: 

• Clearly and concisely report defects and other testing outcomes to developers and other stakeholders. 
• Collaborate with cross-functional teams to ensure seamless integration and quality throughout the software development lifecycle. 
• Facilitate and participate in QA reviews and updates to ensure consistency and compliance with standards. 

Documentation & Reporting: 

• Maintain detailed documentation of test cases, test scripts, and test outcomes. 
• Produce regular reports on test status, anomalies, risks, and validation results. 

Mentoring & Coaching: 

• Assist junior QA team members and offer guidance as needed. 
• Share knowledge on advanced testing techniques, tools, and best practices. 

Staying Updated: 

• Stay updated with the latest industry trends, tools, and technologies in QA testing. 
• Attend training and workshops to continually improve your QA skills. 

Required Skills & Qualifications: 

• 1-3 years of experience in a similar role in a software services environment. 
• Proficient in manual testing techniques, including black box, white box, and grey box testing. 
• Experience in setting up and using automation testing tools such as Selenium, JUnit, TestNG, etc. 
• Excellent communication skills, both verbal and written. 
• Strong logical reasoning and problem-solving skills. 
• Familiarity with bug tracking tools like Azure DevOps, JIRA, etc. 
• Knowledge of software development lifecycle (SDLC) and agile methodologies. 
• Bachelor's degree in Computer Science, Information Technology, or a related field. 

Preferred Qualifications: 

• Certifications in Quality Assurance, such as ISTQB or CSTE. 
• Experience with continuous integration and continuous delivery (CI/CD) tools like Jenkins or Travis CI. 
• Familiarity with code versioning tools like Git. 

Job Title: Accounts Executive

Job Summary:

The Accounts Executive will provide essential support to the Financial Controller in managing and maintaining the financial accounting system and records. The role involves preparing financial statements, offering financial advice and support, and collaborating with internal and external auditors. The position requires flexible working hours aligned with the Kuala Lumpur time zone (7.30 a.m - 4 p.m).

Responsibilities:

- Collaborate with the Financial Controller to manage and maintain the financial accounting system and records.

- Prepare monthly management accounts.

- Adhere to flexible working hours according to the Kuala Lumpur time zone (7.30 a.m - 4 p.m).

- Liaise with both internal and external auditors.

- Provide other financial advice and support as needed .

Qualifications:

- M.com Graduate.

- Preference for candidates pursuing CA/CMA/ICW certification.

- Must have at least 3 years of accounting experience, preferably in auditing.

- Possess extensive knowledge of financial nuances.

-Immediate joiners are preferred.

Compensation:

The Annual salary for this position is in the range of 3 to 3.5 LPA (Indian Rupees).

Skill Set:

• Strong knowledge in SQL Server
• Program and develop SQL scripts, tables, views, stored procedures, functions, triggers & constraints.
• Scripting (PowerShell, shell scripting)
• Azure Database (Nice to have)
• Experience with backups, restores and recovery models.
• Familiarity with database design, documentation and coding.

 Responsibilities: 

• Configures and validates database backup routines on a regular basis.
• Establish a regular data retention plan.
• Optimizes database performance through the use of database performance tuning techniques and tools.
• Require extensive familiarity with data management principles and best practices in order to properly store, migrate, and structure data for multiple applications.