Job brief

This role will be responsible for performing the end-to-end processes of billing which includes invoice creation & credit note cancellation servicing at least one or more region.

Responsibilities & Duties

-       Role includes assisting Team Lead and supervising a team, resolving complex issues, and driving process improvements to enhance efficiency and accuracy

-       The position acts as a critical support role to the Team Lead, ensuring adherence to internal controls and compliance with organizational policies.

-       Performing end-to-end Billing activities and follow established policies, procedures, and management guidance.

-       Manage the daily activities by ensuring timeliness and meeting all required SLA.

• Work closely with the team, team lead/manager and relevant offshore and onshore teams within O2C Tower in reaching goals and accomplishing the team vision.

• Collaborate with internal/external stakeholders to ensure invoices are submitted to the clients timely and accurately.

• Distribute invoices to external clients through various distribution platforms e.g. mail, email, and client portal uploads.

• Respond to inquiries and escalate issues and concerns to the Team Lead for timely resolution.

• Participate in governance meetings with Operations Team and/or clients.

-       Provide guidance and training to team members to improve productivity and performance

-       Supervise the processing of various Billing types (T&M, Lumpsum, Percentage etc.).

-       Review and resolve escalated issues related to billing with the Onshore team.

-       Generate, review, and analyze weekly, and monthly revenue reports.

-       Assist in month-end and year-end closing activities related to accounts receivable.

-       Identify trends in discrepancies and propose preventive measures.

-       Collaborate with the Team Lead to identify opportunities for process improvements and implement best practices.

-       Partner with IT and finance teams to optimize ERP systems for enhanced Billing processes.

-       Serve as a point of contact for internal and external stakeholders regarding process queries.

• Address critical issues and recommend resolutions to the Team Lead within the prescribed turn-around time.

• Perform transition-related activities such as process training & desktop procedures creation.

• Contribute in various and simultaneous process improvement initiatives to streamline processes and improve customer experience.

• Support the Team Lead in report preparation by providing analysis and recommendation within established guidelines and procedures.

• Contribute specialized expertise to different assigned projects and may provide key updates to Team Lead and Manager.

• Assist in process trainings and knowledge transfers for new hires and may perform peer reviews as needed.

• Perform various billing tasks in compliance with service level agreement, process, policies, and procedures.

• Manage complex billing transactions and perform quality review of invoices.

• Monitor assigned projects and collaborate with Stakeholders to ensure invoices are submitted to the clients timely and accurately.

• Assess identified issues and collate documentation to assist in investigating and in resolving common and recurring issues

• Maintain the SOP/DTP of current processes and incorporate documentation updates as required.

• Assist junior team members to address process related concerns

We are looking for a motivated Machine Learning Engineer (Python) to join our fast-moving team. This is a hands-on role ideal for someone with a solid foundation in machine learning, strong Python skills, and a desire to grow in a dynamic and often ambiguous environment. You’ll work closely with product managers, data scientists, and engineers to rapidly prototype, test, and deploy ML-driven features and pipelines.

Responsibilities 

• Collaborate in an agile team to develop and deploy ML models and data pipelines.

• Translate loosely defined business or customer requirements into practical ML solutions.

• Be creative and proactive in shaping solutions that solve real-world problems.

• Build, test, and optimize scalable Python-based systems for training and inference.

• Work with structured and unstructured data (e.g., tabular, text, image).

• Participate in sprint planning, daily stand-ups, and reviews.

• Own and maintain parts of the codebase and contribute to improving engineering best practices.
  
  Collaboration 
  Work closely with product, engineering, and customer success teams to understand requirements and deploy ML models

• Communicate technical concepts and progress effectively to both technical and non-technical stakeholders.

• Collaborate on improving team processes, coding standards, and best practices.

Job Description

We are seeking an experienced AI/ML Engineer (5–8 years) with strong hands-on expertise in end-to-end machine learning, GenAI solution development, data engineering, and cloud-native deployment. The role involves building scalable AI systems, designing LLM-based applications, and integrating enterprise-grade MLOps pipelines across any one of Azure, GCP, and AWS environments.

Key Responsibilities

• Design and implement ML and GenAI solutions including RAG pipelines, LLM integrations, prompt engineering, and evaluation/guardrail frameworks.

• Develop and deploy API-based AI applications using FastAPI, Flask, or Plotly Dash.

• Build end-to-end ML pipelines: data ingestion, feature engineering, model training, validation, deployment, and monitoring.

• Work with cross-functional teams to translate business needs into AI-driven outcomes.

• Deploy workloads using Azure App Service, Cloud Run, Azure Bot Service, Dialogflow, and other cloud-native platforms.

• Implement MLOps workflows for CI/CD, model registry, experiment tracking, and automated retraining.

• Build and optimize ETL/ELT pipelines using Azure Data Factory, BigQuery, Databricks, and other data engineering tools.

• Create dashboards and analytical insights using Power BI, Tableau, Looker, QuickSight, or ThoughtSpot.

• Ensure scalable, secure, and cost-optimized deployment across Azure/GCP/AWS environments.