Manage day-to-day office administration and ensure smooth office operations.
Handle office supplies, inventory management, and procurement activities.
Coordinate with vendors, service providers, and facility management teams.
Oversee housekeeping, security, maintenance, and other administrative services.
Manage travel arrangements, hotel bookings, transportation, and visa support (if required).
Maintain office records, documents, contracts, and administrative databases.
Support employee onboarding by arranging workstations, ID cards, and office access.
Process and verify administrative bills, invoices, and expense reports.
Organize meetings, conferences, and events.
Ensure compliance with company policies, health and safety standards, and statutory requirements related to administration.
Coordinate courier services, mail distribution, and document dispatch.
Assist HR and other departments with administrative support as needed.
Prepare administrative reports, MIS, and budget tracking reports.
Identify opportunities to improve office processes and optimize operational efficiency.
Required Qualifications
Bachelor's degree in Business Administration, Commerce, or a related field.
3–5 years of relevant experience in office administration or facilities management.
Proficiency in Microsoft Office (Word, Excel, PowerPoint, Outlook).
Experience with vendor management and office procurement.
Strong organizational, time management, and problem-solving skills.
Excellent verbal and written communication skills.
Ability to handle multiple tasks and work under deadlines.
Preferred Skills
Knowledge of facility management practices.
Experience in budget monitoring and cost control.
Strong negotiation and vendor coordination skills.
Ability to maintain confidentiality and handle sensitive information.
Key Competencies
Organization and planning
Attention to detail
Communication and interpersonal skills
Multitasking and prioritization
Vendor and stakeholder management
Problem-solving
Teamwork and collaboration
Accountability and professionalism
Sr. Accounts Executive
Position
Sr. Accounts Executive
Experience required
5-8 years Experience
Openings
1
Job Description:
Responsible for posting expenses and purchase entries in Tally, ensuring accurate TDS deduction (where applicable) and availability of supporting documents.
Post Credit Note and Debit Note entries after verifying proper process compliance.
Pass bank receipt and payment entries in Tally.
Prepare Bank Reconciliation Statements (BRS) and ensure bank accounts in Tally are up to date.
Check employee claims on GreytHR and ensure compliance with company policy.
Pass employee claim entries in Tally.
Record accrued revenue after cross-checking billing details and process corresponding reversals.
Prepare workings for pre-billed income and record entries in Tally.
Prepare monthly prepaid expense workings and post entries in Tally.
Prepare documentation required for bank guarantees (BG), outward foreign payments, and inward foreign payment receipts.
File Professional Tax (PT) returns and STPI returns.
Assist in data preparation during audits.
Assist in MIS preparation and reporting as required.
Possess knowledge of GST and TDS regulations.
Should be well versed with Tally.
AI/ML Engineer
Position
AI/ML Engineer
Experience required
2-4 years Experience
Openings
1
Location
Thane
Experience:
3+ years of hands-on experience in machine learning, deep learning, or data science.
2+ years of experience leading or managing technical teams.
Job Summary
We are seeking an experienced and highly motivated AI/ML Manager to lead our Artificial Intelligence and Machine Learning initiatives. This role involves managing a team of data scientists, machine learning engineers, and analysts to design, develop, and deploy AI/ML solutions that drive business value. The ideal candidate will have a strong technical background combined with proven leadership and project management skills.
Key Responsibilities
Lead and mentor a team of AI/ML professionals in developing scalable models and algorithms.
Collaborate with cross-functional teams (engineering, product, analytics) to integrate AI/ML solutions into products and services.
Define and execute AI/ML strategy aligned with organizational goals.
Oversee the end-to-end lifecycle of AI/ML projects from research and development to deployment and monitoring.
Ensure model quality, performance, fairness, and explainability using best practices.
Manage timelines, resources, and priorities to ensure successful delivery of initiatives.
Stay current with the latest AI/ML trends, research, tools, and technologies.
Present insights and results to technical and non-technical stakeholders.
Proficient in programming languages such as Python, R, or Java.
Experience with MLOps, model deployment, and cloud platforms (AWS, GCP, or Azure).
Experience in the Banking domain will be preferred.
Experience with Apache Kafka, Apache Ignite, Spark, or distributed systems for handling high-volume data pipelines.
Strong understanding of GPU infrastructure requirements for training, optimizing, and deploying large-scale AI/ML and deep learning models.
Proficiency in containerization and orchestration using Docker (Kubernetes experience is a plus).
Hands-on experience with CI/CD pipelines for automating model integration, testing, and deployment in production environments.
Required Qualifications
Bachelor of Engineering / Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or related field.
