Total 4 job vacancies by Consulguru Pte. Ltd.

Job Summary:An Appian Technical Consultant is a key member of the project team, responsible for designing and implementing custom software solutions on the Appian low-code platform. This role involves working with clients throughout the entire project lifecycle to drive digital transformation and improve business processes. The ideal candidate will combine a passion for technology with strong problem-solving and communication skills to deliver innovative solutions that meet client needs.

Key Responsibilities:

• Collaborate with clients and stakeholders to define business processes and gather functional and technical system requirements.
• Work within an agile environment to design and implement scalable and secure applications using Appian's low-code platform.
• Create application architecture, data models, and user interfaces (UIs) that align with client requirements and industry best practices.
• Utilize Appian's tools, including SAIL, Process Models, Web APIs, and Smart Services, to build and configure application components.
• Create APIs and other integrations to connect the Appian platform with external systems and databases.
• Conduct thorough testing, including unit, system, and integration testing, to ensure application reliability and functionality.
• Provide ongoing support and maintenance for deployed applications and assist with production releases.
• Mentor and guide junior team members on Appian application development and implementation methodologies.
• Empower clients to become self-sufficient by training them on how to build and maintain their own process applications.
• Document technical designs, reusable components, and solution best practices.

Required Skills and Qualifications:

• Experience:
  Min 5 years of experience in software designing or technical consulting.
  Proven experience in designing applications on the Appian platform.
  Experience with the full software development lifecycle (SLC) and agile methodologies (e.g., Scrum).
• Technical Skills:
  In-depth knowledge of the Appian platform, including SAIL, Sites, Records, and Process Models.
  Strong understanding of relational databases, data modeling, and SQL.
  Experience with integrations using APIs (REST, SOAP), web services, and JDBC connections.
  Familiarity with object-oriented programming concepts.
  Knowledge of software testing practices, including test-driven development.
• Soft Skills:
  Excellent verbal and written communication skills with the ability to clearly articulate technical concepts to both technical and non-technical stakeholders.
  Strong analytical and strategic problem-solving abilities.
  A passion for continuous learning and staying current with Appian's evolving platform features and industry trends.
  History of success working on cross-functional teams and collaborating effectively with clients.
  Ability to manage multiple projects and priorities in a fast-paced environment.

Education:

• B.S. or B.A. in Computer Science, Computer Studies, Science, Engineering, Information Systems, Mathematics, or a related field.
• Appian certifications (e.g., Appian Certified Associate Developer, Senior Developer) are highly preferred.

We are seeking a highly experienced Project Manager with a proven track record in leading large-scale, enterprise-level end-to-end System Integration projects, specifically in business application development. The ideal candidate will possess extensive project management and leadership experience and be well-versed in the latest technological advancements.

Responsibilities:

• Lead full stack development projects using no code or low-code platforms such as Mendix, OutSystems, or Microsoft Power Apps.
• Oversee the integration of front-end development technologies (HTML, CSS, JavaScript, React, Angular, Vue.js) and back-end development technologies (Node.js, Express, Django, Python, Ruby on Rails).
• Ensure continuous integration and continuous deployment (CI/CD) practices using tools like Git and GitHub.
• Guide business analysts in UI/UX design, user persona development, customer journey mapping, prototyping, and wireframing using tools like Adobe XD, Figma, and Sketch.
• Lead teams in developing scalable microservices architectures and robust APIs using technologies like Spring Boot, Node.js, and RESTful services.
• Design and implement scalable, efficient database architectures using SQL, NoSQL, MySQL, PostgreSQL, MongoDB, and Oracle.
• Manage ETL processes, data cleansing, data transformation, and data migration using tools like Talend, Informatica, and Microsoft SQL Server Integration Services (SSIS).
• Implement AI/ML and generative AI technologies using platforms such as TensorFlow, PyTorch, OpenAI, and Google Cloud AI.
• Develop advanced analytics solutions using tools such as Tableau, Power BI, and Qlik Sense.
• Work closely with Sales and Pre-Sales Solution Architects to propose, document, and present solutions during the proposal stage.
• Propose project approach and strategy, tender response, SOW, project planning, project roadmaps, project effort estimation, and project organization chart.

Qualifications:

• Bachelor’s degree in computer science or a technology equivalent.
• Only Singaporeans or local PRs may apply.
• 5+ years of project management experience from consultancy/technology product vendor/SI environments.
• PMI PMP Project Management Professional, CSM Certified Scrum Master or Agile certification, ITIL Foundation Certification is a must.
• Experience in ERP/CRM/SaaS application consultancy with platforms like SAP, Oracle, Salesforce.
• Strong interpersonal and stakeholder management skills with the ability to coordinate between technical, business teams, and executive “C” level clients.
• Demonstrate excellent written/verbal communication skills and a customer-centric approach.

Job Description :

Machine Learning/GenAI Engineer x2 – Focus: Smart Manufacturing & AI Solutions

Core Responsibilities:

• To design, develop, and deploy advanced AI/ML and Generative AI (GenAI)  solutions that optimize manufacturing operations in a high-volume drive production environment.
• This role focuses on leveraging machine learning, predictive analytics, and automation to improve yield, reduce downtime, and enable smart factory capabilities aligned with Industry 4.0 principles.

Model Development & Deployment

• Build and implement machine learning models for predictive maintenance, anomaly detection, and process optimization.
• Develop  GenAI-powered applications for automated reporting, intelligent chatbots, and simulation of manufacturing scenarios.
• Translate research-level algorithms into production-ready solutions using MLOps best practices.

Data Engineering & Integration

• Develop robust data pipelines to collect, clean, and transform sensor, MES, and IoT data for model training and inference.
• Integrate AI models with factory control systems and MES for real-time decision-making.

Predictive Analytics & Quality Control

• Apply AI techniques to forecast equipment failures, optimize production schedules, and enhance product quality.
• Use computer vision and deep learning for automated defect detection and quality assurance.

Automation & Continuous Improvement

• Implement AI-driven workflows and GenAI-based conversational assistants to reduce manual interventions and accelerate cycle times.
• Monitor model performance, detect drift, and automate retraining processes.

Collaboration & Reporting

• Work closely with engineers and IT teams to align AI and GenAI solutions with factory goals
• Communicate insights and recommendations to stakeholders through dashboards and natural language summaries generated by GenAI.

Required Skills:

Technical Expertise

• Proficiency in Python, R, or Java; experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Strong knowledge of machine learning algorithms, deep learning architectures, and statistical methods
• Familiarity with MLOps tools (MLflow, KServe, Docker, Kubernetes) and CI/CD pipelines.
  
  Domain Knowledge
• Understanding of manufacturing processes, MES systems, and industrial automation technologies.
• Experience with predictive maintenance, anomaly detection, and real-time analytics.
  
  Data Handling
• Expertise in data preprocessing, feature engineering, and working with large-scale sensor/IoT datasets.Knowledge of SQL/NoSQL databases and cloud platforms for data storage and model deployment.
  
  Soft Skills
• Strong problem-solving ability, analytical mindset, and effective communication skills.Ability to work in cross-functional teams and manage multiple priorities in a fast-paced environment.

Job Summary

The Application & Database Developer is responsible for designing, developing, and maintaining software applications and database systems that support business operations. This role involves full stack development, database design, performance tuning, and close collaboration with cross-functional teams to ensure high-quality, scalable, and secure solutions.

Key Responsibilities

Application Development

• Develop and maintain custom web, desktop, or mobile applications for manufacturing operations (e.g., MES, SPC, Equipment Tracking, Quality Management).
• Integrate applications with factory systems such as ERP, MES, SCADA, PLCs, and data historians.
• Design APIs and interfaces for seamless data exchange between IT and OT systems.
• Support the automation of manufacturing workflows, reporting, and analytics dashboards.

Database Development

• Design, build, and optimize relational databases (Oracle, PostgreSQL, SQL Server, etc.). o Develop complex SQL queries, stored procedures, triggers, and ETL scripts.
• Manage database performance tuning, backup/recovery, and data integrity.
• Collaborate with data engineers to structure data for analytics and reporting.

Operations & Support

• Work closely with manufacturing engineers, process owners, and IT infrastructure teams to gather requirements and deliver scalable solutions.
• Provide technical support for deployed applications and databases, including troubleshooting and enhancements.
• Ensure compliance with cybersecurity, audit, and change management standards.

Continuous Improvement

• Contribute to digital transformation projects such as predictive maintenance, AI/ML model integration, and factory data lakes.
• Identify automation opportunities and propose system improvements.
• Document system architecture, workflows, and procedures.

Required Skills & Qualifications

Must Have

• Bachelor's degree in computer science, IT, or related field
• 3–5 years of relevant experience in application support o Strong understanding of application architecture and databases

Proficiency in

•  Languages: Java, Python, C#, Node.js
• Web Frameworks: .NET, Flask, JavaScript
• Databases: Oracle, PostgreSQL, ETL, Stored Procedures, SQL Server
• Integration: REST APIs, Kafka, MQTT o Excellent problem-solving and communication skills
• Ability to communicate effectively in English (verbal and written)
• Experience with data modeling, performance tuning, and version control (Git).
• Familiarity with cloud and on-prem hybrid environments (GCP,Azure, AWS, etc.).

Good to Have

• Experience with Rest API, Web backend, SQL and No-SQL databases o Experience with big data platforms and real-time data processing o Familiarity with DevOps tools and CI/CD pipelines
• Experience working with cross-functional teams (e.g., manufacturing, engineering)
• Ability to create user guides and training materials o Understanding of factory security, safety, and quality standards

Nice to Have

• Knowledge of ITIL processes (Incident, Problem, Change Management) o Familiarity with cloud platforms (AWS, Azure) o Experience with monitoring tools (e.g., Zabbix)
• Understanding of information security best practices and compliance standards
• Experience in automation and process improvement initiatives