This person will be an integral member of the Project management team, supporting and assisting the IT Project contracts and task schedules. Working mostly on data management projects, the champion has to connect with our clients from eastern geography. Due to timezone difference, these interactions should be mostly during the early hours of the day. The person should do a bit of IT house keeping and maintaining schedules and records of interactions and contracts along with providing appropriate reports to management, periodically and also when needed. Key responsibilities: Helps with the process of creating and editing standard contract documents. Understand the terms and conditions of service level agreements with clients. Understand basics of data compliance not limited to GDPR and CAN-SPAM for marketing. Explain Digital marketing elements involved within the purview of agreed services. Check and gauge the accuracy and compliance of files received from clients and interact with them up to satisfaction levels. Provide bills and explain billing processes to clients, as it demands. Requirements (Qualifications / Experience / Competencies) Have a good command of English language. You will write, speak and tweak good English to equally impress our clients from Europe, Asia Pacific and at times, Middle East too. Managing various concurrent projects will not affect your concentration. Microsoft Excel is one of your top liked tools. You enjoy the art of communication. Digital Marketing is not a new subject for you. A B.Tech degree in Computer Science is definitely going to help. You like drinking coffee or tea. :)

We are seeking a talented Business Analyst to join our dynamic team. In this role, you will bridge the gap between business needs and IT solutions, playing a key part in delivering technology that drives success. you'll work closely with stakeholders to gather requirements, analyze processes, and ensure our IT solutions align with business objectives making you a critical contributor to our clients growth and efficiency. Key responsibilities: Partner with stakeholders to gather, document, and analyze business requirements. Analyze and model business processes to identify inefficiencies and recommend improvements. Translate business needs into clear, actionable technical specifications for development teams. Collaborate with IT teams to ensure solutions meet requirements and deliver value. Perform testing and validation of IT solutions to confirm they meet business needs, requirements, and quality standards. Facilitate meetings, workshops, and presentations to share progress, resolve issues, and align teams. Track project milestones and ensure deliverables align with business goals. Keep updated with industry trends, emerging technologies, and best practices in business analysis to identify opportunities for innovation and process optimization. Requirements (Qualifications / Experience / Competencies) Bachelor s degree in Business Administration, Computer Science, Information Systems, or a related field. At least 4 years of experience as a Business Analyst, in an IT or tech-focused environment. Strong analytical and problem-solving skills with a strategic mindset. Excellent communication and interpersonal skills to engage stakeholders at all levels. Experience with project management methodologies like Agile, Scrum, or Waterfall. Understanding of software development life cycles (SDLC) and IT project delivery. Proficiency in tools such as Microsoft Office, Visio, Miro, Draw.io and requirements management software (eg, Jira, Confluence). Familiarity with data analysis tools (eg, SQL, Python) or visualization platforms (eg, Tableau, Power BI) are a plus. Certifications like CBAP or PMI-PBA or CCBA are a plus

To assist the data systems team with collecting, cleansing, consolidating incoming data. Also, prepare statistical reports for specific datasets based on various performance measurement functional indicators. Key responsibilities: Collect, validate, and analyze quantitative and qualitative data from multiple sources Translate business questions into prototypes and conceptual design Sourcing data and using various data provisioning tools to order data into data sets for interactive analysis Create reference data custom groups and hierarchies that support multiple innovative business use cases from single sets transactional data. Prepare analytic reports and using a variety of graphs, Data cleansing, de-duplication Produce a variety of scheduled and ad hoc reports for internal and external requirements. Working with marketing teams on analyzing various reports Work with raw data in order to transform them to analytic reports usable for business performance and planning. Innovative analysis in terms of Social Media Analytics, Google Analytics, Database Management Requirements (Qualifications / Experience / Competencies) At least 2-3 years experience in data analysis, collection, and reporting (quantitative and qualitative) End-to-end BI experience in requirements management, design and development, focus on design and data management Good numerical capability and knowledge of Excel/ Access/ MySQL/MQL Server Should be able to easily grasp numerical relationships Extremely good knowledge of MS-Excel, problem solving capability and having worked in a similar position will be definitely an advantage. Strong attention to detail and accuracy in all work products Excellent writing and communication skills, including the ability to communicate complex technical information clearly and concisely. Strong critical thinking skills, including demonstrated ability to approach problems objectively, draw valid conclusions, and develop viable options and recommendations for action Ability to innovate and suggest new approaches to solving problems or meeting requirements Ability to work independently and as part of a team

To assist the data systems team with collecting, cleansing, consolidating incoming data. Also, prepare statistical reports for specific datasets based on various performance measurement functional indicators. Key responsibilities: Collect, validate, and analyze quantitative and qualitative data from multiple sources Translate business questions into prototypes and conceptual design Sourcing data and using various data provisioning tools to order data into data sets for interactive analysis Create reference data custom groups and hierarchies that support multiple innovative business use cases from single sets transactional data. Prepare analytic reports and using a variety of graphs, Data cleansing, de-duplication Produce a variety of scheduled and ad hoc reports for internal and external requirements. Working with marketing teams on analyzing various reports Work with raw data in order to transform them to analytic reports usable for business performance and planning. Innovative analysis in terms of Social Media Analytics, Google Analytics, Database Management Requirements (Qualifications / Experience / Competencies) At least 2-3 years experience in data analysis, collection, and reporting (quantitative and qualitative) End-to-end BI experience in requirements management, design and development, focus on design and data management Good numerical capability and knowledge of Excel/ Access/ MySQL/MQL Server Should be able to easily grasp numerical relationships Extremely good knowledge of MS-Excel, problem solving capability and having worked in a similar position will be definitely an advantage. Strong attention to detail and accuracy in all work products Excellent writing and communication skills, including the ability to communicate complex technical information clearly and concisely. Strong critical thinking skills, including demonstrated ability to approach problems objectively, draw valid conclusions, and develop viable options and recommendations for action Ability to innovate and suggest new approaches to solving problems or meeting requirements Ability to work independently and as part of a team

Expert in all aspects of data management and analysis with a strong ability to convert data into meaningful insights. This role requires leading the end-to-end business intelligence lifecycle from gathering business requirements, data provisioning, and modelling, to reporting and insight generation enabling strategic decision-making across teams. Key responsibilities: Lead data collection, validation, transformation, and analysis from multiple internal and external sources. Translate complex business problems into data models and analytical frameworks. Source and organize data using advanced data provisioning tools, ensuring datasets are optimized for analysis. Design and implement custom reference data, groups, and hierarchies to support advanced analytical use cases. Develop scalable dashboards and reports using business intelligence tools like Power BI or Tableau. Apply statistical analysis and predictive modelling techniques to solve business problems. Clean, de-duplicate, and transform raw data into accurate and usable formats. Deliver scheduled and ad hoc reports and dashboards that support decision-making across departments. Work with marketing and other cross-functional teams to analyse campaign performance, user behaviour, and customer trends. Handle large datasets and support data governance, quality, and compliance requirements. Guide and mentor junior analysts to ensure best practices in data handling and reporting. Explore and apply new tools and methods for Social Media Analytics, Google Analytics, and other digital data sources. Requirements (Qualifications / Experience / Competencies) Minimum 5 years of experience in data analysis, reporting, and visualization. Strong experience in end-to-end BI development: requirements gathering, data modelling, and reporting. Advanced skills in MS Excel, SQL (MySQL/SQL Server), and data querying. Hands-on experience with BI tools such as Power BI, Tableau, or equivalent. Experience with scripting languages like Python or R is an added advantage. Strong numerical aptitude and analytical thinking with the ability to draw meaningful insights from complex data. Excellent attention to detail and accuracy in all data work. Proven ability to clearly communicate technical findings to non-technical stakeholders. Strong problem-solving and critical-thinking skills with a proactive mindset. Ability to take ownership, work independently, and manage multiple priorities. Previous experience mentoring or guiding junior team members is preferred

This person will be an integral member of the Project management team, supporting and assisting the IT Project contracts and task schedules. Working mostly on data management projects, the champion has to connect with our clients from eastern geography. Due to timezone difference, these interactions should be mostly during the early hours of the day. The person should do a bit of IT house keeping and maintaining schedules and records of interactions and contracts along with providing appropriate reports to management, periodically and also when needed. Key responsibilities: Helps with the process of creating and editing standard contract documents. Understand the terms and conditions of service level agreements with clients. Understand basics of data compliance not limited to GDPR and CAN-SPAM for marketing. Explain Digital marketing elements involved within the purview of agreed services. Check and gauge the accuracy and compliance of files received from clients and interact with them up to satisfaction levels. Provide bills and explain billing processes to clients, as it demands. Requirements (Qualifications / Experience / Competencies) Have a good command of English language. You will write, speak and tweak good English to equally impress our clients from Europe, Asia Pacific and at times, Middle East too. Managing various concurrent projects will not affect your concentration. Microsoft Excel is one of your top liked tools. You enjoy the art of communication. Digital Marketing is not a new subject for you. A B.Tech degree in Computer Science is definitely going to help. You like drinking coffee or tea. :)

To assist the data systems team with collecting, cleansing, consolidating incoming data. Also, prepare statistical reports for specific datasets based on various performance measurement functional indicators. Key responsibilities: Collect, validate, and analyze quantitative and qualitative data from multiple sources Translate business questions into prototypes and conceptual design Sourcing data and using various data provisioning tools to order data into data sets for interactive analysis Create reference data custom groups and hierarchies that support multiple innovative business use cases from single sets transactional data. Prepare analytic reports and using a variety of graphs, Data cleansing, de-duplication Produce a variety of scheduled and ad hoc reports for internal and external requirements. Working with marketing teams on analyzing various reports Work with raw data in order to transform them to analytic reports usable for business performance and planning. Innovative analysis in terms of Social Media Analytics, Google Analytics, Database Management Requirements (Qualifications / Experience / Competencies) At least 2-3 years experience in data analysis, collection, and reporting (quantitative and qualitative) End-to-end BI experience in requirements management, design and development, focus on design and data management Good numerical capability and knowledge of Excel/ Access/ MySQL/MQL Server Should be able to easily grasp numerical relationships Extremely good knowledge of MS-Excel, problem solving capability and having worked in a similar position will be definitely an advantage. Strong attention to detail and accuracy in all work products Excellent writing and communication skills, including the ability to communicate complex technical information clearly and concisely. Strong critical thinking skills, including demonstrated ability to approach problems objectively, draw valid conclusions, and develop viable options and recommendations for action Ability to innovate and suggest new approaches to solving problems or meeting requirements Ability to work independently and as part of a team

A mobile app developer would be expected to gather requirements around functionality and translate those requirements into simple but effective web and mobile solutions, design mobile user interfaces, develop and maintain websites, enhancing webmobile user experience Key responsibilities: Deliver across the entire app life cycle concept, design, build, deploy, test, release to app stores and support. Build prototypes at tech scoping stage of projects. Working along the web developers to create and maintain a robust framework to support the appsweb. Working with the front end developers to build the interface with focus on usability features. Create compelling mobile device specific user interfaces and experiences. Optimizing performance for the apps web. Keep up to date on the latest industry trends in the mobileweb technologies. Requirements (Qualifications ExperienceCompetencies) Minimum 2-3 years experience in mobile application development. Proven development experience in desktop and mobile web development. Excellent knowledge in information architecture, human computer interaction and mobile usability design principles. A track record of delivering successful consumer products Thorough knowledge of iOS, Android & HTML 5 Application development. HTML, Javascript, CSS, AJAX. Sound knowledge in SQL queries and RDBMS. Good knowledge of MVC Architecture, Visual Studio 20082005, ASP.NET 3.52.0. Windows and Windows Communications Foundation (WCF) iOS Strong OO design and programming skills in Objective-C Familiar with iOS SDK (UIKit, Cocoa Touch, Core Data, Core Location, etc) Familiar with xcode Android Strong OO design and programming skills in Java (J2EE J2ME) Familiar with the Android SDK Knowledge of SQLite, MySQL or similar database management system Familiar with Eclipse

ABOUT THE TEAM: You will be joining a passionate and agile quality engineering team dedicated to delivering reliable and seamless software experiences. We thrive on collaboration, continuous learning, and innovation to help drive the success of our products and delight our users. Key responsibilities: As QA Engineer you will: Design, develop, and execute manual and automated test cases to ensure software quality. Collaborate with developers, product owners, and QA team members to identify, report, and resolve defects. Monitor test execution results and help improve test coverage and reliability. Participate in daily stand-up meetings and other agile ceremonies. Requirements (Qualifications/Experience/Competencies) At least 5+ years of hands-on experience in mobile and web test automation using Appium, selenium. In this role, you will play a crucial part in ensuring the quality and reliability of our mobile applications. Should be able to work independently and create framework from scratch You will be responsible for developing and executing robust automation test suites using Appium, covering both Android and iOS platforms. You will also contribute to continuous improvement of our testing processes and collaborate closely with development teams to deliver high-quality mobile experiences. Design, develop, and execute comprehensive test suites for mobile applications using Appium. Automate functional, regression, and performance tests for both Android and iOS platforms. Develop and maintain robust and maintainable automation scripts. Integrate automation tests with continuous integration (CI) systems, such as Jenkins. Analyze test results, identify and report defects, and track issues to resolution. Hands-on experience in building and managing application builds (APK, IPA) locally. Collaborate with development teams to ensure timely and efficient build processes. Implement and improve test strategies and methodologies to ensure comprehensive test coverage. Explore and implement new testing tools and techniques to enhance test efficiency and effectiveness. Expertise in building and managing application builds (APK, IPA). In-depth knowledge of integrating automation frameworks with CI/CD pipelines (eg , Jenkins). Strong understanding of parallel and sequential test execution techniques.

ABOUT THE TEAM: You will be joining a passionate and agile quality engineering team dedicated to delivering reliable and seamless software experiences. We thrive on collaboration, continuous learning, and innovation to help drive the success of our products and delight our users. Key responsibilities: As QA Engineer you will: Design, develop, and execute manual and automated test cases to ensure software quality. Collaborate with developers, product owners, and QA team members to identify, report, and resolve defects. Monitor test execution results and help improve test coverage and reliability. Participate in daily stand-up meetings and other agile ceremonies. Requirements (Qualifications/Experience/Competencies) At least 5+ years of hands-on experience in mobile and web test automation using Appium, selenium. In this role, you will play a crucial part in ensuring the quality and reliability of our mobile applications. Should be able to work independently and create framework from scratch You will be responsible for developing and executing robust automation test suites using Appium, covering both Android and iOS platforms. You will also contribute to continuous improvement of our testing processes and collaborate closely with development teams to deliver high-quality mobile experiences. Design, develop, and execute comprehensive test suites for mobile applications using Appium. Automate functional, regression, and performance tests for both Android and iOS platforms. Develop and maintain robust and maintainable automation scripts. Integrate automation tests with continuous integration (CI) systems, such as Jenkins. Analyze test results, identify and report defects, and track issues to resolution. Hands-on experience in building and managing application builds (APK, IPA) locally. Collaborate with development teams to ensure timely and efficient build processes. Implement and improve test strategies and methodologies to ensure comprehensive test coverage. Explore and implement new testing tools and techniques to enhance test efficiency and effectiveness. Expertise in building and managing application builds (APK, IPA). In-depth knowledge of integrating automation frameworks with CI/CD pipelines (eg , Jenkins). Strong understanding of parallel and sequential test execution techniques.

We are seeking a highly motivated Full Stack .NET Developer to join our team and help build and maintain scalable, cloud-native applications using the latest .NET technologies. You will be working across the stack—from backend services to frontend UI—leveraging microservices architecture, Blazor advancements, Minimal APIs, and modern development practices. You should be comfortable working independently as well as collaborating with cross-functional teams. Quick adaptation to emerging tools and technologies, strong debugging capabilities, and excellent communication skills are essential. Key responsibilities: Design and develop enterprise-grade applications using .NET 8 , C# , and front-end frameworks (Blazor, React, or Angular). Architect and implement RESTful APIs , Minimal API s, and microservices with a focus on scalability and performance. Utilize source generators for compile-time performance optimizations. Integrate and work with queuing and streaming systems such as Kafka , RabbitMQ . Build and maintain containerized applications with Docker and Kubernetes. Develop solutions with open-source integrations , including Dapr, Redis, MongoDB, and PostgreSQL. Implement OpenTelemetry for distributed tracing and observability. Handle big data operations and real-time event processing within the .NET ecosystem. Design, develop, and deploy serverless functions using AWS Lambda and other cloud-native services. Design and deploy Azure Functions for: Microservices / APIs Event processing Data pipelines Scheduled jobs Automation tasks Webhook integrations Ensure compliance with data privacy regulations such as GDPR and CCPA, including implementation of location-based data handling policies. Maintain clean, secure, and well-documented code across both backend and frontend components. Work independently to deliver high-quality features in fast-paced, high-pressure environments. Requirements (Qualifications/Experience/Competencies) 4+ years of experience in .NET Core / .NET 5/6/7/8 development. Proficient in REST APIs, microservices, and Minimal APIs. Strong experience with Blazor and other modern .NET web frameworks. Solid understanding of multilevel/n-tier architecture design. Skilled with SQL Server, PostgreSQL, Entity Framework , Dapper, and NoSQL databases like MongoDB and Redis. Strong experience in Cross-Platform & Hybrid DB Usage and hands-on with cross-platform migrations, schema transformation, and data consistency validation. Hands-on experience with Docker, CI/CD pipelines, and deployment automation. Good exposure to event-driven architecture and messaging queues. Experience with OpenTelemetry and application monitoring tools. Experience designing serverless architectures , especially with AWS Lambda for scalable microservices and event-driven apps. Knowledge of data privacy laws (GDPR, CCPA) and best practices for location-based data storage. Preferred Skills Experience with Azure Cloud , including Azure Functions, App Services, and Azure Storage. Familiarity with Dapr, Kafka etc. Exposure to AI/ML in .NET, especially generative AI integration scenarios. Practical knowledge of source generators and .NET performance tuning. Active involvement with open-source tools and GitHub-based workflows. Soft Skills Strong problem-solving skills, ability to manage priorities, and work independently with minimal supervision in a fast-paced environment. Quick learner with a passion for emerging technologies, collaborative mindset, and the ability to mentor and support junior developers.

Should be able to write functional code with a sharp eye for spotting defects. Should be a team player and excellent communicator. Work with internal teams to design, develop and maintain software. Key responsibilities: Write “clean”, well-designed code Produce detailed specifications Troubleshoot, test and maintain the core product software and databases to ensure strong optimization and functionality Contribute in all phases of the development lifecycle Follow industry best practices Develop and deploy new features to facilitate related procedures and tools if necessary Participate in requirements analysis Collaborate with internal teams to produce software design and architecture Requirements (Qualifications/Experience/Competencies) Proven software development experience in PHP - min 5 years Understanding of open source projects like Joomla, Drupal, osCommerce, etc Demonstrable knowledge of web technologies including HTML, CSS, Javascript, AJAX etc Good knowledge of relational databases, version control tools and of developing web services Experience in common third-party APIs (Google, Facebook, Ebay etc) Passion for best design and coding practices and a desire to develop new bold ideas BTech degree in Computer Science, Engineering or a related subject Laravel framework knowledge preferred

We are seeking a visionary and highly skilled AI Architect to join our leadership team. This pivotal role will be responsible for defining and implementing the end-to-end architecture for deploying our machine learning models, including advanced Generative AI and LLM solutions, into production. You will lead and mentor a talented cross-functional team of Data Scientists, Backend Developers, and DevOps Engineers, fostering a culture of innovation, technical excellence, and operational efficiency. Key responsibilities: Architectural Leadership: Design, develop, and own the scalable, secure, and reliable end-to-end architecture for deploying and serving ML models, with a strong focus on real-time inference and high availability. Lead the strategy and implementation of the in-house API wrapper infrastructure for exposing ML models to internal and external customers. Define architectural patterns, best practices, and governance for MLOps, ensuring robust CI/CD pipelines, model versioning, monitoring, and automated retraining. Evaluate and select the optimal technology stack (cloud services, open-source frameworks, tools) for our ML serving infrastructure, balancing performance, cost, and maintainability. Team Leadership & Mentorship: Lead, mentor, and inspire a diverse team of Data Scientists, Backend Developers, and DevOps Engineers, guiding them through complex architectural decisions and technical challenges. Foster a collaborative environment that encourages knowledge sharing, continuous learning, and innovation across teams. Drive technical excellence, code quality, and adherence to engineering best practices within the teams. Generative AI & LLM Expertise: Architect and implement solutions for deploying Large Language Models (LLMs), including strategies for efficient inference, prompt engineering, and context management. Drive the adoption and integration of techniques like Retrieval Augmented Generation (RAG) to enhance LLM capabilities with proprietary and up-to-date information. Develop strategies for fine-tuning LLMs for specific downstream tasks and domain adaptation, ensuring efficient data pipelines and experimentation frameworks. Stay abreast of the latest advancements in AI , particularly in Generative AI, foundation models, and emerging MLOps tools, and evaluate their applicability to our business needs. Collaboration & Cross-Functional Impact: Collaborate closely with Data Scientists to understand model requirements, optimize models for production, and integrate them seamlessly into the serving infrastructure. Partner with Backend Developers to build robust, secure, and performant APIs that consume and serve ML predictions. Work hand-in-hand with DevOps Engineers to automate deployment, monitoring, scaling, and operational excellence of the AI infrastructure. Communicate complex technical concepts and architectural decisions effectively to both technical and non-technical stakeholders. Requirements (Qualifications/Experience/Competencies) Education: Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or a related quantitative field. Experience: 10+ years of progressive experience in software engineering, with at least 5+ years in an Architect or Lead role. Proven experience leading and mentoring cross-functional engineering teams (Data Scientists, Backend Developers, DevOps). Demonstrated experience in designing, building, and deploying scalable, production-grade ML model serving infrastructure from the ground up. Technical Skills: Deep expertise in MLOps principles and practices , including model versioning, serving, monitoring, and CI/CD for ML. Strong proficiency in Python and experience with relevant web frameworks (e.g., FastAPI, Flask ) for API development. Expertise in containerization technologies (Docker) and container orchestration (Kubernetes) for large-scale deployments. Hands-on experience with at least one major cloud platform (AWS, Google Cloud, Azure) and their AI/ML services (e.g., SageMaker, Vertex AI, Azure ML). Demonstrable experience with Large Language Models (LLMs) , including deployment patterns, prompt engineering, and fine-tuning methodologies. Practical experience implementing and optimizing Retrieval Augmented Generation (RAG) systems. Familiarity with distributed systems, microservices architecture, and API design best practices. Experience with monitoring and observability tools (e.g., Prometheus, Grafana, ELK stack, Datadog). Knowledge of infrastructure as code (IaC) tools (e.g., Terraform, CloudFormation). Leadership & Soft Skills: Exceptional leadership, mentorship, and team-building abilities. Strong analytical and problem-solving skills, with a track record of driving complex technical initiatives to completion. Excellent communication (verbal and written) and interpersonal skills, with the ability to articulate technical concepts to diverse audiences. Strategic thinker with the ability to align technical solutions with business objectives. Proactive, self-driven, and continuously learning mindset. Bonus Points: Experience with specific ML serving frameworks like BentoML, KServe/KFServing, TensorFlow Serving, TorchServe, or NVIDIA Triton Inference Server. Contributions to open-source MLOps or AI projects. Experience with data governance, data security, and compliance in an AI context.

We are seeking a visionary and highly skilled AI Architect to join our leadership team. This pivotal role will be responsible for defining and implementing the end-to-end architecture for deploying our machine learning models, including advanced Generative AI and LLM solutions, into production. You will lead and mentor a talented cross-functional team of Data Scientists, Backend Developers, and DevOps Engineers, fostering a culture of innovation, technical excellence, and operational efficiency. Key responsibilities: Architectural Leadership: Design, develop, and own the scalable, secure, and reliable end-to-end architecture for deploying and serving ML models, with a strong focus on real-time inference and high availability. Lead the strategy and implementation of the in-house API wrapper infrastructure for exposing ML models to internal and external customers. Define architectural patterns, best practices, and governance for MLOps, ensuring robust CI/CD pipelines, model versioning, monitoring, and automated retraining. Evaluate and select the optimal technology stack (cloud services, open-source frameworks, tools) for our ML serving infrastructure, balancing performance, cost, and maintainability. Team Leadership & Mentorship: Lead, mentor, and inspire a diverse team of Data Scientists, Backend Developers, and DevOps Engineers, guiding them through complex architectural decisions and technical challenges. Foster a collaborative environment that encourages knowledge sharing, continuous learning, and innovation across teams. Drive technical excellence, code quality, and adherence to engineering best practices within the teams. Generative AI & LLM Expertise: Architect and implement solutions for deploying Large Language Models (LLMs), including strategies for efficient inference, prompt engineering, and context management. Drive the adoption and integration of techniques like Retrieval Augmented Generation (RAG) to enhance LLM capabilities with proprietary and up-to-date information. Develop strategies for fine-tuning LLMs for specific downstream tasks and domain adaptation, ensuring efficient data pipelines and experimentation frameworks. Stay abreast of the latest advancements in AI , particularly in Generative AI, foundation models, and emerging MLOps tools, and evaluate their applicability to our business needs. Collaboration & Cross-Functional Impact: Collaborate closely with Data Scientists to understand model requirements, optimize models for production, and integrate them seamlessly into the serving infrastructure. Partner with Backend Developers to build robust, secure, and performant APIs that consume and serve ML predictions. Work hand-in-hand with DevOps Engineers to automate deployment, monitoring, scaling, and operational excellence of the AI infrastructure. Communicate complex technical concepts and architectural decisions effectively to both technical and non-technical stakeholders. Requirements (Qualifications/Experience/Competencies) Education: Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or a related quantitative field. Experience: 10+ years of progressive experience in software engineering, with at least 5+ years in an Architect or Lead role. Proven experience leading and mentoring cross-functional engineering teams (Data Scientists, Backend Developers, DevOps). Demonstrated experience in designing, building, and deploying scalable, production-grade ML model serving infrastructure from the ground up. Technical Skills: Deep expertise in MLOps principles and practices , including model versioning, serving, monitoring, and CI/CD for ML. Strong proficiency in Python and experience with relevant web frameworks (e.g., FastAPI, Flask ) for API development. Expertise in containerization technologies (Docker) and container orchestration (Kubernetes) for large-scale deployments. Hands-on experience with at least one major cloud platform (AWS, Google Cloud, Azure) and their AI/ML services (e.g., SageMaker, Vertex AI, Azure ML). Demonstrable experience with Large Language Models (LLMs) , including deployment patterns, prompt engineering, and fine-tuning methodologies. Practical experience implementing and optimizing Retrieval Augmented Generation (RAG) systems. Familiarity with distributed systems, microservices architecture, and API design best practices. Experience with monitoring and observability tools (e.g., Prometheus, Grafana, ELK stack, Datadog). Knowledge of infrastructure as code (IaC) tools (e.g., Terraform, CloudFormation). Leadership & Soft Skills: Exceptional leadership, mentorship, and team-building abilities. Strong analytical and problem-solving skills, with a track record of driving complex technical initiatives to completion. Excellent communication (verbal and written) and interpersonal skills, with the ability to articulate technical concepts to diverse audiences. Strategic thinker with the ability to align technical solutions with business objectives. Proactive, self-driven, and continuously learning mindset. Bonus Points: Experience with specific ML serving frameworks like BentoML, KServe/KFServing, TensorFlow Serving, TorchServe, or NVIDIA Triton Inference Server. Contributions to open-source MLOps or AI projects. Experience with data governance, data security, and compliance in an AI context.

We are seeking a seasoned IT Infrastructure Engineer with strong technical expertise and strategic thinking to drive modern infrastructure transformation. The role involves designing, implementing, and maintaining scalable, secure, and resilient IT environments, with a focus on adopting emerging technologies including cloud platforms, container orchestration, DevOps/DevSecOps practices, and AI infrastructure. Reporting to the Head of Engineering, the candidate will play a key role in supporting digital innovation and operational excellence across the enterprise. Key responsibilities: Design, implement, and enhance enterprise-grade infrastructure solutions across on-premises and cloud environments. Evaluate and optimize current systems, ensuring compliance with security standards, scalability, and operational efficiency. Manage virtual networks, resolve connectivity issues, and implement redundancy strategies for high availability across locations. Administer and monitor operating systems, middleware, automated workflows, and server virtualization platforms. Collaborate with development teams to support application deployment, testing, and performance tuning across multiple environments. Lead containerization initiatives using Docker, Kubernetes, or similar platforms to streamline application delivery. Support DevOps and DevSecOps processes including CI/CD pipelines, infrastructure as code (IaC), and automated security testing. Monitor infrastructure performance and proactively identify areas for improvement in systems, networks, applications, and databases. Maintain and evolve build and release processes, ensuring secure promotion of infrastructure components from development to production. Deploy and manage hybrid cloud environments including public, private, and AI-enabled cloud platforms (e.g., AWS, Azure, GCP). Implement secure system configurations and manage inter-application data flows in alignment with data protection regulations. Provide architectural input during project planning and ensure technical alignment with business goals. Share expertise across teams and support cross-functional programs and initiatives. Stay updated on emerging trends in cloud computing, automation, AI infrastructure, and cyber-resilience. Requirements (Qualifications/Experience/Competencies) 3 to 4 years of professional experience in enterprise IT infrastructure roles. Proven experience with modern infrastructure design including server, storage, networking, virtualization, and cloud-native services. Strong hands-on experience with DevOps, CI/CD tools (e.g., GitLab, Jenkins, Azure DevOps), and IaC tools (e.g., Terraform, Ansible). Experience with containerization platforms (e.g., Docker, Kubernetes) and orchestration in hybrid/multi-cloud environments. Familiarity with AI/ML workloads and infrastructure components used in AI Cloud environments is an advantage. Working knowledge of cloud platforms (AWS, Azure, GCP) and their architecture best practices. Deep understanding of IT security principles, compliance frameworks (e.g., ISO 27001), and secure system architecture. Proficiency in managing and optimizing network topologies, firewalls, VPNs, and access controls. Strong communication and stakeholder engagement skills with the ability to align infrastructure design with business strategy. Experience in architecture governance, standards development, and delivery lifecycle optimization. Bachelor’s degree or higher in Computer Science, Information Technology, or related field. Industry certifications (e.g., AWS Certified Solutions Architect, Azure Architect, Kubernetes Administrator, CISSP) are a plus.

We are seeking a dynamic and strategic Project Manager to lead our cross-functional Innovation Team. In this role, you will be at the forefront of discovering, validating, and delivering cutting-edge technologies and solutions that align with Timesworld’s mission to stay ahead of the curve. You'll manage experimental projects, champion a culture of rapid prototyping, and bring bold ideas to life. Key responsibilities: Lead the end-to-end planning and execution of innovation-driven projects, from concept to implementation. Work closely with internal stakeholders, including data scientists, developers, designers, and product leads, to transform ideas into viable prototypes and MVPs. Establish clear goals, timelines, and success metrics for innovation initiatives. Conduct market and trend research to identify emerging technologies and business opportunities. Promote agile methodologies, rapid iteration, and lean experimentation. Balance exploration with delivery – ensuring innovations meet real-world business needs and timelines. Facilitate brainstorming sessions, design sprints, and innovation workshops. Track performance metrics, risks, budgets, and resource allocations. Serve as the communication bridge between executive leadership and technical teams. Foster a culture of creativity, experimentation, and continuous improvement. Requirements (Qualifications/Experience/Competencies) 13+ years of overall IT experience, with 4–6 years of Project management. Strong understanding of emerging technologies such as AI/ML, automation, IoT, cloud platforms, and digital transformation trends. Demonstrated ability to navigate ambiguity, explore hypotheses, and drive validation through experimentation. Ability to balance innovation with deliverables, timelines, and business priorities. Familiarity with KPIs, OKRs, and other goal-setting frameworks. Experience using project management tool Jira. Presentable personality with very good communication skills. PMP certification is required, and knowledge of project management tools is expected.