Vacancies Available at Gap Infrastructure Corporation - GIC

Key Responsibilities:

• Prepare and serve high-quality coffee and other beverages in the office canteen.
• Ensure cleanliness and proper maintenance of coffee machines and equipment.
• Maintain a clean and tidy service area at all times.
• Collect used mugs and cups from office workstations and communal areas throughout the day.
• Support boardroom and meeting hospitality, including serving drinks and clearing afterward.
• Provide friendly, professional, and timely service to all staff and visitors.
• Adhere to health, safety, and hygiene standards in all aspects of the role.

Requirements:

• Previous barista or customer service experience preferred.
• Strong attention to detail and commitment to cleanliness.
• Excellent communication and interpersonal skills.
• Well-groomed and professional appearance.
• Ability to work independently and take initiative.
• Discreet and respectful when entering office and meeting spaces.
• Flexible and dependable with a positive attitude.

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Key Responsibilities:

• Safely transport staff, clients, and guests to and from destinations as required.
• Deliver and collect documents, packages, and goods promptly.
• Ensure vehicle cleanliness and presentability at all times.
• Perform regular vehicle checks and routine maintenance (oil, tire pressure, fluids).
• Schedule and ensure timely servicing of vehicles.
• Maintain accurate trip logs, fuel records, and any incident reports.
• Follow assigned routes and adhere to time schedules.
• Ensure compliance with all traffic laws and company policies.
• Report any accidents, injuries, or vehicle damage to management immediately.

Requirements:

• Proven experience as a driver (corporate or commercial setting preferred).
• Valid driver’s license with a clean driving record.
• Valid Professional Driving Permit (PDP)
• Knowledge of local routes, traffic laws, and road safety regulations.
• High school diploma or equivalent preferred.
• Good communication and interpersonal skills.
• Ability to maintain confidentiality and professionalism.
• Physically fit and able to sit and drive for extended periods.
• Willingness to work flexible hours, including weekends or evenings when necessary.

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Key Responsibilities

• Lead design and development of end-to-end machine learning models.
• Own data science lifecycle: from exploration and experimentation to production deployment.
• Work with engineers and analysts to build pipelines and intelligent systems.
• Drive AI/ML use cases, including NLP, forecasting, anomaly detection, and optimization.
• Mentor junior team members and help establish best practices.
• Communicate findings and strategic recommendations to leadership.
• Assess, integrate, and extract data across multiple databases (structured and unstructured) to create usable datasets for analytics, dashboards, and business reporting.
• Design and implement automated data extraction and transformation workflows to support real-time reporting needs.
• Collaborate with IT and business units to understand data architecture and improve data accessibility and governance.

Required Skills & Experience

• 5+ years in data science or related field.
• Expert proficiency in Python (e.g., Scikit-learn, PyTorch/TensorFlow, Statsmodels).
• Strong SQL and experience with data engineering workflows.
• Proven ability to translate business problems into data science solutions.
• Hands-on experience with production ML pipelines and CI/CD.
• Familiarity with Azure cloud platforms.
• Excellent storytelling and stakeholder management skills.
• Proficiency in full-stack development (e.g., JavaScript/TypeScript, Node.js, React, or similar), enabling development of internal tools or dashboards where necessary.
• Strong understanding of relational and non-relational databases (e.g., SQL Server, MongoDB, PostgreSQL).
• Demonstrated experience in integrating backend services with frontend applications for end-to-end data solution

Additional Skills

• Experience with LLMs (e.g., OpenAI, Hugging Face Transformers).
• Background in building recommendation engines, predictive maintenance, or fraud detection.
• Familiarity with MLOps tools (e.g., MLflow, Kubeflow).
• Experience working with unstructured data (text, image, audio).
• "Experience developing and maintaining business intelligence dashboards (e.g., Power BI, Tableau, custom-built)."
• "Knowledge of DevOps tools and practices for managing infrastructure supporting analytics workloads."

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Key Responsibilities

• Design and develop scalable web applications and internal systems using Angular and Node.js/NestJS.
• Build and maintain high-performance RESTful APIs.
• Integrate external/internal APIs and services for seamless data flow.
• Architect infrastructure for reliability, security, and maintainability.
• Work closely with stakeholders across departments to automate and optimize internal processes.
• Collaborate on AI-powered features — from integrating LLMs to building smart interfaces — or lead such efforts if you already have AI experience.
• Participate in code reviews, architecture discussions, and mentoring junior developers.
• Stay current with industry best practices and emerging technologies.

Required Skills & Experience

• 5+ years of full stack development experience.
• Expert-level proficiency with Angular and TypeScript.
• Strong backend experience with Node.js (NestJS experience is a strong plus).
• Proven experience in designing, building, and consuming APIs.
• Experience with MongoDB, MS-SQL.
• Familiarity with cloud environments (e.g., Azure).
• Comfortable with CI/CD, Docker, and version control systems (e.g., Git).
• Excellent communication and problem-solving skills.