Job Description:

As an Applied Computer Vision Engineer focused on Data Driven Development, you will be a critical part of our feature team, responsible for building and scaling the infrastructure that powers our advanced perception systems. You will architect and implement the robust data pipelines and cloud-native workflows that enable the development, training, and evaluation of next-generation computer vision models. This role is ideal for an engineer passionate about data systems, MLOps, and enabling large-scale machine learning. 

Responsibilities Design, implement, and maintain scalable data pipelines and cloud-based workflows for computer vision applications. Architect efficient database schemas, queries, and end-to-end data pipelines to support large-scale data operations. 

Develop and scale Azure-based data pipelines to manage high-throughput workloads, including the processing, versioning, and management of millions of images. Build, automate, and manage robust training and evaluation pipelines using frameworks like PyTorch and TensorFlow. 

Integrate ML pipelines seamlessly with cloud storage and compute services, particularly Azure Blob Storage and Azure ML Compute. Analyze existing models and data workflows to identify and implement performance improvements and optimizations. 

Implement best practices for data quality, monitoring, and infrastructure-as-code. Document system architecture, data flows, and operational procedures. 

Required Qualifications Education: Bachelor’s degree in Computer Science, Electrical Engineering, or a related field. 

Experience: 2-4 years of professional experience in data engineering, MLOps, or a similar role supporting machine learning workflows. 

Core Skills: Proven experience designing and implementing scalable data pipelines and cloud-based workflows. 

Strong proficiency with cloud platforms, specifically Azure (AzureML, Azure Blob Storage, Azure ML Compute). 

Hands-on experience with data processing and orchestration tools such as Databricks or Ray. Proficiency in containerization technologies, especially Docker. 

Experience building or maintaining training/evaluation pipelines using PyTorch or TensorFlow. Experience with or exploration of data visualization and analysis tools (e.g., Voxel). 

Programming: Proficiency in Python and a strong understanding of object-oriented programming.

 Tools: Familiarity with essential software development tools like Git and working in a Linux environment. 

Additional Qualifications Master’s degree in a relevant field. Prior experience in the ADAS, autonomous driving, or robotics domains. Experience with other cloud platforms (e.g., AWS, GCP). Knowledge of model optimization and deployment (e.g., TensorRT, ONNX). Hands-on experience with C++ is beneficial. 

Brief Job Description: To lead or manage Accounts Payables Global operationsKey Accountabilities/Job Responsibilities:1) Lead or Manage Accounts Payable teams of Team Leads2) Ensure client SLA’s and deliverables are met 3) Perform requisite MIS4) Strong domain knowledge and able to support review process5) Good understanding of AP processes on SAP ERP system 6) Willing to work in all shifts (including nights)7) Drive initiatives and Team building activities.8) Adhere to reasonable operational requests from the management.9) Work very closely with teams across delivery locations and client.10) Strong governance (Weekly/Monthly) for Process Performance” & “Transformation” reviewsPERSON SPECIFICATIONSESSENTIAL DESIRABLEWork Experience (Mention No. of years):• The candidate should have 7+ years of Work Experience in F&A for Accounts Payables.• Prior experience in service/ BPO industry • Prior experience of relevant industryKnowledge/Qualifications/ Competency:• Commerce Graduate/Postgraduate• Good Communication Skills• Proficiency in Microsoft Office skills Capabilities:• Domain expertise• Team Leading• Good communications skills• Multi-tasking skills• Detail and Analytical• Ability to work efficiently in a fast-paced environment.• Flexibility to work in different shifts• Experience in being part of process transformation initiatives Special Role (Customer Specific Requirement) - Good Working knowledge in SAP ERP (FI & MM Modules)