Role Summary The Project Manager is a results-driven and innovative project leader within DataForce. The Project Manager is responsible for leading successful execution of the life cycle of a range of AI-Data projects, through the utilization of expertise and technical skills to manage project budgets, timelines, and quality requirements. The Project Manager has accountability for fostering professional client relationships, managing and coordinating external vendors, and leading and collaborating with cross-functional project teams and partners. Role Responsibilities The Project Manager is ultimately responsible for the quality of work, profitability, and performance of their projects. Oversee all aspects of the management of projects from hand-off through project completion to ensure project success against defined KPIs Develop and maintain project plans, workflows, guidelines, and resource materials Provide effective analysis and reporting of project performance Track, monitor, and control project financial, timeline and quality performance Organize and deliver a Post Project Review Provide effective risk management through identification, escalation, mitigation, and effective resolution of issues Execute projects autonomously, while successfully coordinating with cross-functional project teams as required to procure required resources and support Serve as a primary point of contact for clients and both internal and external stakeholders Proactively identify opportunities, provide recommendations, and drive improvements to maximize operational efficiency and implement scalable solutions Establish, strengthen, and expand client relationships, support development of new business opportunities and overall profitable revenue growth Assist in the hiring process of new team members and train them Contribute to the development of the knowledge and capability of the department, team, colleagues in industry, and technology advancements. Complete all other tasks that are deemed appropriate for this role and assigned by the manager/supervisor Job requirements Role Requirements Knowledge, Skills and Abilities Solid understanding of data collection, annotation, and transcription activities, ideally in an AI setting Excellent leadership, interpersonal, and relationship-building skills Effective written and verbal communication skills Effective use of platforms/systems to plan, organize, and prioritize to ensure the successful completion of projects Established expertise in project management skills and methodologies Outstanding teamwork and collaboration skills Demonstrated exceptional analytical, critical-thinking, problem-solving and decision-making skills Established competency in the use of business applications and collaboration tools, including but not limited to the Microsoft suite of applications (Outlook, Excel, Word, PowerPoint, SharePoint, Teams) and Google Workspace suite of products Role Requirements – Education and/or Experience Minimum Bachelor’s degree or its equivalent 5+ years’ relevant project management experience or experience in other roles with similar responsibilities Experience managing AI Machine Learning data-related projects, including speech, text and computer vision data collection, data curation and annotation projects Demonstrated success in end-to-end management of projects (total project lifecycle) Experience with project financials including proposals, RFPs, RFQs, MSAs, budgets, GM, quotes and SOWs Experience working with a high-performance, collaborative, and constructive peer group Ability to apply technology in solving business problems Experience managing information technology, data management, or similar technical projects AI industry experience Established expertise in applying PMI/PMP management principles, methods, and standards Business English language proficiency Preferred Role Requirements PMP or equivalent certification Experience working with support ticketing systems Experience managing projects with crowdsourcing and remote resourcing solutions Experience working in a multinational/multicultural virtual working environment Experience in working in a cross-functional/matrix organization Fluency in a language other than English language.
Key Responsibilities Process and coordinate payroll and related procedures with high accuracy Apply in-depth knowledge of benefits, compensation principles, income tax, and retirement plans Maintain and update HRMS master data, with a focus on non-financial data integrity Ensure compliance with statutory requirements related to payroll, including PF, ESI, Professional Tax, LWF, and TDS Conduct thorough reconciliation between Paybooks application outputs and input data Perform variance analysis to ensure payroll accuracy Manage annual compliance reporting for salary-related statutory requirements Address and resolve employee queries promptly and effectively Review and approve changes in employee records, including exemptions, insurance coverage, savings deductions, job titles, and departmental transfers Compile comprehensive reports on earnings, taxes, deductions, leave, disability, and non-taxable wages Job requirements MBA in Human Resources or bachelors degree in commerce Experience levels: 2+ to 5 years Minimum 1 year of experience in technical support with domestic clients Excellent verbal and written communication skills Strong client relationship management abilities Comprehensive knowledge of Indian HR and Payroll domains High degree of patience and problem-solving skills Proficiency in MS Excel Ability to perform under pressure during peak periods (month-end, quarter-end, and year-end)
OVERVIEW: DevOps & ML Ops Engineer would be responsible for developing and maintaining scalable, stable services that deliver machine learning models to end users with guaranteed uptime. The primary focus will be on the infrastructure, deployment, and continuous integration/continuous delivery (CI/CD) processes for our ML services DESCRIPTION: Manage resource allocation and workload scheduling for multiple DevOps services, ensuring efficient utilization of CPU/GPU resources and creating reliable queues based on service priorities. Maintain VM environments and manage OS updates, keep up-to-date VM inventory Work alongside the Dev and QA team to detect hot spots in our applications and set preventative measure before it becomes a live issue. Troubleshooting and provide solutions for system configurations Plan, execute and test disaster recovery Monitor and examine all application, performance, event, and system logs to assist in troubleshooting Responsible for filing all IT/Colocation tickets ensuring fulfilment of requests, escalating to the right person if necessary. Design, develop, and maintain the infrastructure required for deploying and scaling machine learning services. Implement and manage the CI/CD pipelines to ensure seamless and efficient deployment of ML models. Collaborate with data scientists, ML researchers, and language experts to understand the requirements for deploying ML models and provide necessary infrastructure support. Automate and streamline the build, test, and deployment processes to enhance efficiency and reduce time-to-market. Monitor and optimize the performance, availability, and scalability of production ML systems. Develop and maintain robust monitoring, logging, and alerting systems to proactively identify and address issues. Implement security best practices to protect sensitive data and ensure compliance with relevant regulations. Stay up-to-date with industry trends and emerging technologies related to DevOps, ML Ops and propose innovative solutions to improve our service delivery. Complete all other tasks that are deemed appropriate for this role and assigned by the manager/supervisor REQUIRED SKILLS: Strong knowledge of cloud platforms (such as AWS, Azure, or GCP) and local cluster deployments, and experience in deploying and managing ML services on these platforms. Knowledge of distributed computing frameworks (e.g., Spark) and big data technologies (e.g., Hadoop, Kafka). Proficiency in Python, Shell, Ruby, Golang, or C++ and experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation). Hands-on experience with containerization technologies (e.g., Docker) and orchestration frameworks (e.g. Kubernetes). Familiarity with CI/CD tools (e.g., Jenkins, GitLab CI/CD) and version control systems (e.g., Git). Solid understanding of networking, security, and system administration concepts. Strong problem-solving and troubleshooting skills, with the ability to quickly analyze and resolve issues in complex ML systems. Excellent communication and collaboration skills, with the ability to work effectively in a team-oriented environment. REQUIRED EXPERIENCE AND QUALIFICATIONS: Bachelor's or higher degree in Computer Science, Engineering, or a related field. Proven experience as an DevOps Engineer, ML Engineer, or a similar role, with a focus on deploying and maintaining machine learning models in production environments. DESIRED SKILLS AND EXPERIENCE: Experience with machine learning frameworks and libraries, such as TensorFlow, PyTorch, or scikit-learn. Familiarity with serverless computing and event-driven architectures. Experience with logging and monitoring tools (e.g., ELK Stack, Prometheus, Grafana). Understanding of software development methodologies and agile practices
OVERVIEW: The Project Manager is a results-driven and innovative project leader within DataForce. The Senior Project Manager is responsible for leading successful execution of the life cycle of a range of AI-Data projects, through the utilization of expertise and technical skills to manage project budgets, timelines, and quality requirements. The Project Manager has accountability for fostering professional client relationships, managing and coordinating external vendors, and leading and collaborating with cross-functional project teams and partners. The Project Manager is ultimately responsible for the quality of work, profitability, and performance of their projects. DESCRIPTION: Oversee all aspects of the management of projects from hand-off through project completion to ensure project success against defined KPIs. Develop and maintain project plans, workflows, guidelines, and resource materials Provide effective analysis and reporting of project performance Track, monitor, and control project financial, timeline and quality performance Organize and deliver a Post Project Review Provide effective risk management through identification, escalation, mitigation, and effective resolution of issues Execute projects autonomously, while successfully coordinating with cross-functional project teams as required to procure required resources and support Serve as a primary point of contact for clients and both internal and external stakeholders Proactively identify opportunities, provide recommendations, and drive improvements to maximize operational efficiency and implement scalable solutions Establish, strengthen, and expand client relationships, support development of new business opportunities and overall profitable revenue growth Assist in the hiring process of new team members and train them Contribute to the development of the knowledge and capability of the department, team, colleagues in industry, and technology advancements. REQUIRED SKILLS: Exceptional leadership, interpersonal, and relationship-building skills Effective written and verbal communication skills Effective use of platforms/systems to plan, organize, and prioritize to ensure the successful completion of projects Established expertise in project management skills and methodologies Outstanding teamwork and collaboration skills Demonstrated exceptional analytical, critical-thinking, problem-solving and decision-making skills Established competency in the use of business applications and collaboration tools, including but not limited to the Microsoft suite of applications (Outlook, Excel, Word, PowerPoint, SharePoint, Teams) and Google Workspace suite of products Solid understanding of data collection, annotation, and transcription activities in an AI setting REQUIRED EXPERIENCE AND QUALIFICATIONS: Master's degree in linguistics, languages or related field 5+ years relevant project management experience or experience in other roles with similar responsibilities Experience managing AI ML data-related projects (including speech, text and computer vision data collection, data curation and annotation projects) Experience managing projects with crowdsourcing and remote resourcing solutions Demonstrated success in end-to-end management of transcription projects Experience working with a high-performance, collaborative, and constructive peer group Ability to apply technology in solving business problems Experience managing information technology, data management, or similar technical projects Demonstrated business English language proficiency DESIRED SKILLS AND EXPERIENCE: PMP or equivalent certification Experience working in a multinational/multicultural virtual working environment Proficiency in working with support ticketing systems Experience in working in a cross-functional/matrix organization Fluency in a language other than English language Knowledge of scripting or command line tools is an advantage.
TransPerfect Is More Than Just a Job Our greatest asset is our people, and nothing is more important to us than ensuring that everyone knows that. Each of our 100+ offices has its own individual identity, and each also has its own unique rewards.
Job description Test Execution: Perform manual and automated tests to validate the functionality, performance, usability, and security of software applications according to defined test plans and test cases. Defect Identification: Identify and document software defects, inconsistencies, and usability issues using bug tracking tools or other designated systems. Test Documentation: Create and maintain accurate and detailed test documentation, including test plans, test cases, and test scripts, to ensure effective test coverage and repeatability. Test Environment Setup: Assist in setting up and configuring the necessary test environments, including hardware, software, and network configurations, to facilitate accurate testing. Regression Testing: Conduct regression testing to ensure that fixed defects or changes do not adversely impact existing software functionalities. Collaboration: Collaborate with the development team to understand the software requirements, review software designs, and provide feedback on potential issues from a testing perspective. Continuous Improvement: Stay updated with the latest industry trends, tools, and best practices related to software testing, and contribute ideas to improve testing processes and methodologies within the organization. Reporting: Prepare and communicate accurate and concise test reports, summarizing the test results, defect status, and other relevant metrics to project stakeholders. Job requirements Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Excellent communication skills Strong attention to detail and ability to maintain focus under pressure If you meet the requirements and have a passion for ensuring the quality of software products, we encourage you to apply for this exciting opportunity.
OVERVIEW: The Junior Transcriptionist is responsible for handling and processing, primarily, English dictation in a timely and functional manner to provide in-house support to new and ongoing projects. The Junior Transcriptionist should have an excellent command of the English language, first-class listening skills, and be able to proofread the final product to ensure the quality and accuracy of every project. DESCRIPTION: Liaise with Team Lead to clarify project parameters Coordinate with quality personnel to ensure that the transcription perfectly complies with instructions and is linguistically perfect Type either from an audio file or video file, or update/revise/correct client provided documents in different formatsProofread and edit any transcription produced by transcription software and ensure the accuracy of grammar, spelling, or format Work on various subtitling/captioning tools, creating and formatting English subtitles according to the specifications Research words/concepts/facts: using dictionaries, online dictionaries, or Google Data entry: type numbers, names, addresses from the source document or replicating on-screen text/graphics from source video to an editable formatFormat in Microsoft Word (e.g. tables, organizational charts, etc.) Proofread and edit external transcription vendors work Review inaudible portions from external transcription vendors work Complete all other tasks that are deemed appropriate for this role and assigned by the manager/supervisor REQUIRED SKILLS: Typing speed of 60+ words per minute Must possess strong attention to detail REQUIRED EXPERIENCE AND QUALIFICATIONS: Minimum Bachelor’s degree or its equivalent Typically 1-5 years of prior experience in the transcription industry.Must have previous typing, dictation, or transcription experience Fluency in English (both written and verbal) Strong proficiency in MS Office, Express Scribe, and other similar transcription software
We are seeking a Mid-Level AI/ML Engineer to join our clients AI team and contribute to the development of cutting-edge intelligent systems. In this role, youll be responsible for designing, training, and deploying machine learning models that power innovative features across devices and services. This is an exciting opportunity to work with a global technology leader in the telecommunications sector, applying your expertise to real-world applications that impact millions of users. Required Qualifications Develop and fine-tune machine learning algorithms. Conduct experiments, evaluate model performance, and suggest improvements. Collaborate with senior engineers to implement production-ready AI solutions. Document processes and results for scalability. Bachelors or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or related field. 2–5 years of experience in developing and deploying machine learning models. Proficiency in Python and popular ML frameworks such as TensorFlow, PyTorch, and scikit-learn. Strong understanding of data preprocessing, model evaluation, and hyperparameter tuning. Experience with SQL, Pandas, NumPy, and working with structured and unstructured data. Familiarity with MLOps tools (Docker, Kubernetes, MLflow, Airflow) is a plus. Experience with cloud platforms (AWS, Azure, or GCP) preferred. Programming & ML Frameworks Python TensorFlow PyTorch scikit-learn XGBoost / LightGBM (common in practical ML pipelines) Data & Analytics NumPy, Pandas SQL Jupyter Notebooks Data preprocessing & feature engineering tools Cloud / Infrastructure AWS (S3, SageMaker, Lambda, ECS) Azure (ML Studio, Blob Storage) GCP (AI Platform, BigQuery) (Any of the three—whichever the client prefers) Version Control & CI/CD Git / GitHub / GitLab Jenkins, GitHub Actions, or GitLab CI Development & Experimentation Tools TensorBoard Weights & Biases (W&B) or Neptune.ai ONNX (optional but common for deployment/optimization) Other Useful Skills (common for telecom/edge AI) Experience with edge AI model optimization (TensorRT, CoreML, TFLite)
As a Senior Localization Engineer/Leader Smartphone & Tablet, You will shape standards, guide L10n Engineering team, manage and monitor daily activities, lead the team for efficient and automation tasks, ensure mobile apps and device UI experiences are globally ready by supporting localization workflows, automation, and technical integration across all platforms Responsibilities Lead team activities and roadmap. Interface with other internal teams for activities management and solutions. Prepare mobile UI strings, app content, and resource files for localization. Lead development and maintenance of automation/scripts for mobile localization workflows. Work closely with linguists, PMs, and mobile engineers to integrate localized assets. Troubleshoot encoding, formatting, build, and platform-specific issues (iOS/Android). Validate localized app builds, layouts, and device displays to ensure proper functionality. Maintain documentation for workflows, tools, integrations, and localization standards. Requirements Bachelors degree in Computer Science, Engineering, Information Systems, or related field; Master’s preferred. Strong scripting and programming skills (Python, JavaScript, or similar). Solid problem-solving skills and ability to work across multiple teams and systems. 4-6+ years in localization engineering, mobile development, or related technical role. 2+ years of experience in leadership (Tech Lead) Strong knowledge of mobile localization workflows and formats (XML, JSON, strings, .arb). Proficiency in scripting languages (Python, Bash). Experience with iOS/Android build processes and common mobile UI behaviors. Experience debugging encoding, layout, or resource integration issues. Knowledge of Git and CI/CD systems Tech Stack Project Tools: Jira, Smartsheet. Methods: Agile/Scrum, Localization best practices. Languages: Python, Bash. Formats: XML, JSON, iOS .strings, Android resource files, YAML. Tools: Git, Jenkins/CI Platforms: iOS, Android, mobile companion app pipelines. Nice to Have: Xcode/Android Studio, mobile simulators, mobile UI testing tools.
As a Localization Engineer IoT, you’ll support global readiness of connected devices, mobile apps, and cloud components through scalable localization workflows. Responsibilities Prepare IoT firmware, device UI strings, and app content for localization. Build and maintain automation/scripts for device and app localization workflows. Work with linguists, PMs, and embedded engineers on integration. Troubleshoot encoding, parsing, and platform-specific issues. Validate localized firmware, device screens, and app UI. Document workflows, tools, and localization standards. Requirements Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field; Master’s preferred. 2–4+ years in localization engineering, IoT, embedded systems, or similar. Strong knowledge of localization workflows and formats (JSON, XML). Proficient in scripting (Python, Bash, PowerShell). Experience with IoT development lifecycle and cross-functional engineering teams. Familiarity with Git and CI systems. Bonus: experience with embedded systems, mobile apps, or connected device ecosystems. Tech Stack Languages: Python, Bash/PowerShell. Formats: JSON, XML, PO, YAML, CSV. Tools: Git, Jenkins/CI Environments: IoT firmware pipelines, mobile companion apps. Nice to Have: Embedded OS experience, Android/iOS tooling, IoT cloud platforms.
As a Localization Engineer PC, you’ll ensure global readiness of PC products by enabling seamless localization workflows, technical integration, and automation. Responsibilities Prepare, analyze, and process files for translation across PC titles. Build and maintain scripts/tools to automate localization workflows. Collaborate with linguists, PMs, and developers to integrate localized assets. Troubleshoot encoding, formatting, and file conversion issues. Validate localized builds and ensure proper implementation. Maintain documentation for tools, workflows, and processes. Requirements Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field; Master’s preferred. 2–4+ years in localization engineering or related technical role. Strong understanding of localization workflows and file formats (JSON, XML, CSV). Proficiency in scripting languages (Python, Bash, PowerShell). Experience with debugging encoding and automation issues. Familiarity with Git or version control tools. Experience in PC software or game development is a plus. Tech Stack Languages: Python, Bash/PowerShell. Formats: JSON, XML, CSV, HTML, YAML. Tools: Git, Jenkins/CI Environment: Windows/PC pipelines. Nice to Have: build automation tools.
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