We are looking for a passionate and detail-oriented Automation Tester with 1–2 years of experience in JavaScript and Selenium to join our dynamic QA team. The ideal candidate will be responsible for developing and executing automated tests to ensure product quality across various platforms and applications. Key Responsibilities Design, develop, and maintain automated test scripts using JavaScript and Selenium. Execute test cases (manual or automated) and analyze results. Identify, record, and track bugs with clear documentation. Collaborate with developers, product managers, and other team members to understand requirements and ensure proper test coverage. Participate in code reviews and contribute to continuous improvement in test practices and frameworks. Ensure timely and accurate test execution and reporting. Qualifications 1–2 years of hands-on experience in test automation using Selenium with JavaScript. Good understanding of software QA methodologies, tools, and processes. Experience in writing clear, concise, and comprehensive test plans and cases. Familiarity with version control systems like Git. Strong problem-solving skills and attention to detail. Excellent communication and collaboration skills.

We are seeking a proactive and detail-oriented Automation Tester with 1–2 years of hands-on experience in Python and Selenium to join our QA team. The ideal candidate will be responsible for designing, developing, and executing automated tests to ensure software quality and performance. Key Responsibilities: Design, develop, and maintain automated test scripts using Python and Selenium WebDriver. Collaborate with developers, business analysts, and other QA team members to understand requirements and create effective test strategies. Execute automated test cases and analyze results to identify issues. Maintain and enhance existing automation frameworks. Report and track defects using bug tracking tools. Ensure timely delivery of testing milestones and contribute to continuous integration and delivery processes. Participate in code reviews, test case reviews, and maintain test documentation. Qualifications: 1–2 years of experience in automation testing using Python and Selenium. Good understanding of software testing life cycle (STLC) and test automation principles. Familiarity with test management and defect tracking tools (e.g., JIRA, TestRail). Knowledge of automation frameworks such as PyTest or unittest. Understanding of version control systems like Git. Strong analytical and problem-solving skills. Excellent communication and collaboration abilities.

We are seeking a proactive and detail-oriented Automation Tester with 1–2 years of hands-on experience in Python and Selenium to join our QA team. The ideal candidate will be responsible for designing, developing, and executing automated tests to ensure software quality and performance. Key Responsibilities: Design, develop, and maintain automated test scripts using Python and Selenium WebDriver. Collaborate with developers, business analysts, and other QA team members to understand requirements and create effective test strategies. Execute automated test cases and analyze results to identify issues. Maintain and enhance existing automation frameworks. Report and track defects using bug tracking tools. Ensure timely delivery of testing milestones and contribute to continuous integration and delivery processes. Participate in code reviews, test case reviews, and maintain test documentation. Qualifications: 1–2 years of experience in automation testing using Python and Selenium. Good understanding of software testing life cycle (STLC) and test automation principles. Familiarity with test management and defect tracking tools (e.g., JIRA, TestRail). Knowledge of automation frameworks such as PyTest or unittest. Understanding of version control systems like Git. Strong analytical and problem-solving skills. Excellent communication and collaboration abilities. Show more Show less

We are looking for a passionate and detail-oriented Automation Tester with 1–2 years of experience in JavaScript and Selenium to join our dynamic QA team. The ideal candidate will be responsible for developing and executing automated tests to ensure product quality across various platforms and applications. Key Responsibilities Design, develop, and maintain automated test scripts using JavaScript and Selenium. Execute test cases (manual or automated) and analyze results. Identify, record, and track bugs with clear documentation. Collaborate with developers, product managers, and other team members to understand requirements and ensure proper test coverage. Participate in code reviews and contribute to continuous improvement in test practices and frameworks. Ensure timely and accurate test execution and reporting. Qualifications 1–2 years of hands-on experience in test automation using Selenium with JavaScript. Good understanding of software QA methodologies, tools, and processes. Experience in writing clear, concise, and comprehensive test plans and cases. Familiarity with version control systems like Git. Strong problem-solving skills and attention to detail. Excellent communication and collaboration skills. Show more Show less

We are looking for a highly motivated and detail-oriented Data Scientist with 2–3 years of experience to join our growing team. The ideal candidate will have strong analytical skills, a solid foundation in machine learning, and the ability to translate data into actionable insights that drive business decisions. Responsibilities: Collect, clean, and preprocess structured and unstructured data from various sources. Develop, implement, and evaluate predictive models and machine learning algorithms. Perform statistical analyses to extract insights and support business strategies. Visualize and communicate results to stakeholders through dashboards, reports, and presentations. Collaborate with cross-functional teams to define data-driven approaches for business problems. Monitor and improve the performance of deployed models. Stay current with the latest research and developments in data science and machine learning. Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. 2–3 years of hands-on experience in data science, machine learning, or a related role. Strong proficiency in Python and its data science libraries (Pandas, NumPy, Scikit-learn, etc.). Experience with data visualization tools like Power BI, Tableau, or Plotly. Solid understanding of statistical methods, data modeling, and algorithm design. Experience working with SQL and NoSQL databases. Familiarity with cloud platforms (e.g., AWS, Azure, or GCP) is a plus. Strong problem-solving skills and attention to detail. Excellent communication and teamwork skills.

We are looking for a highly motivated and detail-oriented Data Scientist with 2–3 years of experience to join our growing team. The ideal candidate will have strong analytical skills, a solid foundation in machine learning, and the ability to translate data into actionable insights that drive business decisions. Responsibilities: Collect, clean, and preprocess structured and unstructured data from various sources. Develop, implement, and evaluate predictive models and machine learning algorithms. Perform statistical analyses to extract insights and support business strategies. Visualize and communicate results to stakeholders through dashboards, reports, and presentations. Collaborate with cross-functional teams to define data-driven approaches for business problems. Monitor and improve the performance of deployed models. Stay current with the latest research and developments in data science and machine learning. Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. 2–3 years of hands-on experience in data science, machine learning, or a related role. Strong proficiency in Python and its data science libraries (Pandas, NumPy, Scikit-learn, etc.). Experience with data visualization tools like Power BI, Tableau, or Plotly. Solid understanding of statistical methods, data modeling, and algorithm design. Experience working with SQL and NoSQL databases. Familiarity with cloud platforms (e.g., AWS, Azure, or GCP) is a plus. Strong problem-solving skills and attention to detail. Excellent communication and teamwork skills. Show more Show less

We are looking for a skilled and passionate React Developer . As a React Developer, you will be responsible for developing and implementing highly responsive user interface components using React.js concepts and workflows. Key Responsibilities Develop new user-facing features using React.js Build reusable components and front-end libraries for future use Translate designs and wireframes into high-quality code Optimize components for maximum performance across web-capable devices and browsers Collaborate closely with UI/UX designers, backend developers, and stakeholders Ensure code quality, maintainability, and best practices Debug and resolve technical issues across the front-end stack Participate in code reviews and contribute to team knowledge sharing Required Skills & Qualifications Bachelor’s degree in Computer Science, Engineering, or related field 3–6 years of hands-on experience with React.js Strong proficiency in JavaScript, HTML5, and CSS3 Familiarity with RESTful APIs and asynchronous request handling Experience with state management libraries like Redux, Context API, or MobX Proficiency with modern front-end build pipelines and tools such as Webpack, Babel, etc. Good understanding of responsive and adaptive design principles Familiarity with version control tools like Git Ability to write clean, maintainable, and testable code

InnoWave is looking for a talented and analytical Data Scientist with 2–3 years of experience to join our dynamic team. The ideal candidate will have a strong foundation in data analysis, machine learning, and statistical modeling, and will be passionate about transforming data into actionable insights to support decision-making across projects. Responsibilities Analyze large and complex datasets to identify trends, patterns, and actionable insights Design, develop, and implement machine learning models to solve business problems Collaborate with cross-functional teams to understand business objectives and data needs Present analytical findings and model results clearly to both technical and non-technical stakeholders Create data visualizations and dashboards to communicate insights effectively Develop and maintain robust data pipelines and data wrangling scripts Monitor model performance and continuously improve algorithms Stay updated with the latest advancements in data science and machine learning Required Skills & Qualifications Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field 2–3 years of hands-on experience in a data science or analytics role Strong proficiency in Python or R for data analysis and modeling Experience with machine learning libraries such as Scikit-learn, TensorFlow, or PyTorch Solid understanding of statistical techniques and their real-world applications Experience with SQL and working with relational databases Familiarity with data visualization tools such as Power BI, Tableau, or matplotlib/seaborn Excellent problem-solving skills and attention to detail Strong communication and collaboration skills

InnoWave is looking for a talented and analytical Data Scientist with 2–3 years of experience to join our dynamic team. The ideal candidate will have a strong foundation in data analysis, machine learning, and statistical modeling, and will be passionate about transforming data into actionable insights to support decision-making across projects. Responsibilities Analyze large and complex datasets to identify trends, patterns, and actionable insights Design, develop, and implement machine learning models to solve business problems Collaborate with cross-functional teams to understand business objectives and data needs Present analytical findings and model results clearly to both technical and non-technical stakeholders Create data visualizations and dashboards to communicate insights effectively Develop and maintain robust data pipelines and data wrangling scripts Monitor model performance and continuously improve algorithms Stay updated with the latest advancements in data science and machine learning Required Skills & Qualifications Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field 2–3 years of hands-on experience in a data science or analytics role Strong proficiency in Python or R for data analysis and modeling Experience with machine learning libraries such as Scikit-learn, TensorFlow, or PyTorch Solid understanding of statistical techniques and their real-world applications Experience with SQL and working with relational databases Familiarity with data visualization tools such as Power BI, Tableau, or matplotlib/seaborn Excellent problem-solving skills and attention to detail Strong communication and collaboration skills

We are looking for a highly motivated and detail-oriented Senior Software Development Engineer in Test (SDET) with strong experience in Python to join our QA team. The ideal candidate will bring expertise in test automation, leadership capabilities, and a background in OTT platforms and Set-Top Box (STB) testing. You will work closely with developers, DevOps engineers, and product managers to ensure high-quality software delivery in a fast-paced environment. Responsibilities: Design, develop, and maintain scalable and robust automation frameworks using Python. Lead and mentor a team of SDETs or QA engineers, ensuring test strategy alignment and efficient task execution. Collaborate with developers and DevOps teams to integrate test automation into the CI/CD pipeline using Jenkins. Create, execute, and maintain test cases for functional, regression, and performance testing. Drive automation best practices and ensure test coverage for OTT and STB-based applications. Analyze test results, isolate defects, and ensure resolution through to production. Participate in requirements and design reviews to ensure testability and quality of the software. Report on test metrics, identify quality risks, and communicate effectively with stakeholders. Qualifications: Bachelor’s degree in Computer Science, Engineering, or related discipline. 3–5 years of hands-on experience in software testing and test automation. Strong programming skills in Python with proven experience in automation frameworks. Experience with CI/CD tools like Jenkins. Good understanding of testing methodologies, QA lifecycle, and bug tracking tools (e.g., JIRA). Prior experience in OTT platforms and Set-Top Box (STB) testing is highly preferred. Exposure to test frameworks such as PyTest or Robot Framework is an advantage. Familiarity with REST API testing and tools such as Postman or similar. Excellent communication skills – both verbal and written. Demonstrated team leadership experience or mentoring skills.

We are looking for a highly skilled and motivated Senior Data Scientist with 3–5 years of hands-on experience in Machine Learning , Deep Learning , and Large Language Models (LLMs) . The ideal candidate should have strong experience working with Microsoft technologies and Azure Cloud and should be passionate about building scalable AI solutions that drive real business value. You will work closely with cross-functional teams to design, develop, and deploy data-driven models and solutions, leveraging the latest in cloud computing and AI innovations. Responsibilities: Design and develop advanced ML/DL models for predictive analytics, natural language processing, computer vision, and recommendation systems. Build and fine-tune LLMs and deploy them effectively on Azure Machine Learning or other Microsoft AI platforms. Collaborate with data engineers and cloud architects to implement end-to-end ML pipelines on Azure. Apply Deep Learning techniques using frameworks like TensorFlow, PyTorch, or Hugging Face. Conduct exploratory data analysis and identify key trends and insights to inform business decisions. Work on large-scale datasets and implement scalable solutions for model training and deployment. Ensure models are monitored, maintained, and retrained as needed to meet performance standards. Contribute to the design of data architecture and infrastructure for AI applications on Azure. Keep up-to-date with advancements in AI, ML, LLMs, and related Microsoft technologies. Qualifications: Bachelor's or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. 3–5 years of relevant experience in data science, machine learning, and AI. Strong experience with Azure Cloud Services including Azure ML, Azure Data Lake, and Azure Functions. Proven experience in Machine Learning, Deep Learning, and working with LLMs. Proficiency in Python, with experience in libraries such as Scikit-learn, Pandas, NumPy, TensorFlow, PyTorch, or Hugging Face Transformers. Solid understanding of Microsoft’s ecosystem and AI stack (e.g., Cognitive Services, Azure OpenAI, Microsoft Fabric, etc.). Familiarity with MLOps practices and tools on Azure. Strong analytical thinking, problem-solving skills, and communication abilities. Ability to work in a collaborative and fast-paced environment.

We are looking for a highly skilled and motivated Senior Data Scientist with 35 years of hands-on experience in Machine Learning , Deep Learning , and Large Language Models (LLMs) . The ideal candidate should have strong experience working with Microsoft technologies and Azure Cloud and should be passionate about building scalable AI solutions that drive real business value. You will work closely with cross-functional teams to design, develop, and deploy data-driven models and solutions, leveraging the latest in cloud computing and AI innovations. Responsibilities: Design and develop advanced ML/DL models for predictive analytics, natural language processing, computer vision, and recommendation systems. Build and fine-tune LLMs and deploy them effectively on Azure Machine Learning or other Microsoft AI platforms. Collaborate with data engineers and cloud architects to implement end-to-end ML pipelines on Azure. Apply Deep Learning techniques using frameworks like TensorFlow, PyTorch, or Hugging Face. Conduct exploratory data analysis and identify key trends and insights to inform business decisions. Work on large-scale datasets and implement scalable solutions for model training and deployment. Ensure models are monitored, maintained, and retrained as needed to meet performance standards. Contribute to the design of data architecture and infrastructure for AI applications on Azure. Keep up-to-date with advancements in AI, ML, LLMs, and related Microsoft technologies. Qualifications: Bachelor&aposs or Masters degree in Computer Science, Data Science, Artificial Intelligence, or a related field. 35 years of relevant experience in data science, machine learning, and AI. Strong experience with Azure Cloud Services including Azure ML, Azure Data Lake, and Azure Functions. Proven experience in Machine Learning, Deep Learning, and working with LLMs. Proficiency in Python, with experience in libraries such as Scikit-learn, Pandas, NumPy, TensorFlow, PyTorch, or Hugging Face Transformers. Solid understanding of Microsofts ecosystem and AI stack (e.g., Cognitive Services, Azure OpenAI, Microsoft Fabric, etc.). Familiarity with MLOps practices and tools on Azure. Strong analytical thinking, problem-solving skills, and communication abilities. Ability to work in a collaborative and fast-paced environment. Show more Show less

We are looking for a highly motivated and detail-oriented Senior Software Development Engineer in Test (SDET) with strong experience in Python to join our QA team. The ideal candidate will bring expertise in test automation, leadership capabilities, and a background in OTT platforms and Set-Top Box (STB) testing. You will work closely with developers, DevOps engineers, and product managers to ensure high-quality software delivery in a fast-paced environment. Responsibilities: Design, develop, and maintain scalable and robust automation frameworks using Python. Lead and mentor a team of SDETs or QA engineers, ensuring test strategy alignment and efficient task execution. Collaborate with developers and DevOps teams to integrate test automation into the CI/CD pipeline using Jenkins. Create, execute, and maintain test cases for functional, regression, and performance testing. Drive automation best practices and ensure test coverage for OTT and STB-based applications. Analyze test results, isolate defects, and ensure resolution through to production. Participate in requirements and design reviews to ensure testability and quality of the software. Report on test metrics, identify quality risks, and communicate effectively with stakeholders. Qualifications: Bachelors degree in Computer Science, Engineering, or related discipline. 35 years of hands-on experience in software testing and test automation. Strong programming skills in Python with proven experience in automation frameworks. Experience with CI/CD tools like Jenkins. Good understanding of testing methodologies, QA lifecycle, and bug tracking tools (e.g., JIRA). Prior experience in OTT platforms and Set-Top Box (STB) testing is highly preferred. Exposure to test frameworks such as PyTest or Robot Framework is an advantage. Familiarity with REST API testing and tools such as Postman or similar. Excellent communication skills both verbal and written. Demonstrated team leadership experience or mentoring skills. Show more Show less