Associate Tech Lead

Core Tasks Support Quality Management and Automated Quality Management Cloud initiative product development ensuring global customer success Begin with resolving small product issues progressing to new feature development Distill requirements from feature level into implementation level tasks Evaluate whether implementation tasks meet feature requirements and work with Team Lead and Technical Architect to ensure it does Guide the team in writing clean maintainable and efficient code using Python and Java Architect and implement AI-driven solutions for automation analytics and decision-making Ensure adherence to best practices in AI model training deployment and monitoring Implement and maintain automated testing frameworks PyTest Cucumber Selenium etc Conduct rigorous code reviews to uphold software quality Drive process improvements for test automation and CI CD pipelines Oversee CI CD pipelines for efficient deployment of AI and full-stack applications Optimize cloud-based solutions AWS Azure for performance and cost-efficiency Guide the team in setting up infrastructure for AI workloads in the cloud Develop and implement technical strategies to drive innovation in AI and full-stack development Stay updated with emerging technologies in AI ML full-stack development and cloud computing Evaluate new tools and frameworks to enhance product capabilities Work closely with cross-functional teams including product managers designers and other developers Lead Agile Scrum ceremonies such as sprint planning daily stand-ups and retrospectives Align development activities with business objectives and product roadmaps Support departmental and team initiatives Management and Leadership Communicate relevant risks and issues to Team Lead and other relevant team members inside and or outside the team Take responsibility for technical implementation and decision making including the delivery of features Identify monitor and resolve feature related issues escalate if individual resolution is not possible Knowledge and Expertise Be seen as a person who when faced with technical challenges can work as part of a team to resolution Support and provide input to development tools environment and 3rd party software selection Develop an understanding of the target market and technology used Help provide information to resolve disputes and make tradeoffs Mandatory Skills Degree in Computer Science Engineering or equivalent with 8 years of experience in full-stack development including AI ML integration 5 years of experience in full-stack development with Java C Python Vue js JavaScript HTML5 CSS TypeScript UI Development Node js RESTful Web Services and SQL databases 3 year of working experience with MERN Stack MongoDB Express js React js Node js 2 years of experience working with Python Machine Learning technologies NLP and Python libraries like Pandas Keras TensorFlow and Scikit-Learn Experience with Computer Vision Speech Analytics and Deep Learning techniques Hands-on experience in at least 2-3 computer vision deep learning use cases such as detection tracking classification recognition and intent understanding using TensorFlow Keras PyTorch frameworks Working experience with cloud technologies AWS Azure OKD OpenShift experience is a plus Experience with containerization and orchestration tools such as Kubernetes Docker Hands-on experience with CI CD tools like Harness and Jenkins Experience with Infrastructure as Code IaC using Terraform Working knowledge of Linux Unix services Experience with monitoring tools such as Datadog and or OpsGenie Strong background in test automation using Cucumber PyTest Selenium Experience in voice video recording platforms is advantageous Strong programming background capable of designing and delivering solutions quickly Experience with Agile methodologies JIRA Scrum Kanban Strong leadership mentoring and problem-solving skills Ability to collaborate effectively across teams Excellent communication skills both written and verbal Responsibilities Core Tasks Support Quality Management and Automated Quality Management Cloud initiative product development ensuring global customer success Begin with resolving small product issues progressing to new feature development Distill requirements from feature level into implementation level tasks Evaluate whether implementation tasks meet feature requirements and work with Team Lead and Technical Architect to ensure it does Guide the team in writing clean maintainable and efficient code using Python and Java Architect and implement AI-driven solutions for automation analytics and decision-making Ensure adherence to best practices in AI model training deployment and monitoring Implement and maintain automated testing frameworks PyTest Cucumber Selenium etc Conduct rigorous code reviews to uphold software quality Drive process improvements for test automation and CI CD pipelines Oversee CI CD pipelines for efficient deployment of AI and full-stack applications Optimize cloud-based solutions AWS Azure for performance and cost-efficiency Guide the team in setting up infrastructure for AI workloads in the cloud Develop and implement technical strategies to drive innovation in AI and full-stack development Stay updated with emerging technologies in AI ML full-stack development and cloud computing Evaluate new tools and frameworks to enhance product capabilities Work closely with cross-functional teams including product managers designers and other developers Lead Agile Scrum ceremonies such as sprint planning daily stand-ups and retrospectives Align development activities with business objectives and product roadmaps Support departmental and team initiatives Management and Leadership Communicate relevant risks and issues to Team Lead and other relevant team members inside and or outside the team Take responsibility for technical implementation and decision making including the delivery of features Identify monitor and resolve feature related issues escalate if individual resolution is not possible Knowledge and Expertise Be seen as a person who when faced with technical challenges can work as part of a team to resolution Support and provide input to development tools environment and 3rd party software selection Develop an understanding of the target market and technology used Help provide information to resolve disputes and make tradeoffs Mandatory Skills Degree in Computer Science Engineering or equivalent with 8 years of experience in full-stack development including AI ML integration 5 years of experience in full-stack development with Java C Python Vue js JavaScript HTML5 CSS TypeScript UI Development Node js RESTful Web Services and SQL databases 3 year of working experience with MERN Stack MongoDB Express js React js Node js 2 years of experience working with Python Machine Learning technologies NLP and Python libraries like Pandas Keras TensorFlow and Scikit-Learn Experience with Computer Vision Speech Analytics and Deep Learning techniques Hands-on experience in at least 2-3 computer vision deep learning use cases such as detection tracking classification recognition and intent understanding using TensorFlow Keras PyTorch frameworks Working experience with cloud technologies AWS Azure OKD OpenShift experience is a plus Experience with containerization and orchestration tools such as Kubernetes Docker Hands-on experience with CI CD tools like Harness and Jenkins Experience with Infrastructure as Code IaC using Terraform Working knowledge of Linux Unix services Experience with monitoring tools such as Datadog and or OpsGenie Strong background in test automation using Cucumber PyTest Selenium Experience in voice video recording platforms is advantageous Strong programming background capable of designing and delivering solutions quickly Experience with Agile methodologies JIRA Scrum Kanban Strong leadership mentoring and problem-solving skills Ability to collaborate effectively across teams Excellent communication skills both written and verbal Qualifications Mandatory Skills Degree in Computer Science Engineering or equivalent with 8 years of experience in full-stack development including AI ML integration 5 years of experience in full-stack development with Java C Python Vue js JavaScript HTML5 CSS TypeScript UI Development Node js RESTful Web Services and SQL databases 3 year of working experience with MERN Stack MongoDB Express js React js Node js 2 years of experience working with Python Machine Learning technologies NLP and Python libraries like Pandas Keras TensorFlow and Scikit-Learn Experience with Computer Vision Speech Analytics and Deep Learning techniques Hands-on experience in at least 2-3 computer vision deep learning use cases such as detection tracking classification recognition and intent understanding using TensorFlow Keras PyTorch frameworks Working experience with cloud technologies AWS Azure OKD OpenShift experience is a plus Experience with containerization and orchestration tools such as Kubernetes Docker Hands-on experience with CI CD tools like Harness and Jenkins Experience with Infrastructure as Code IaC using Terraform Working knowledge of Linux Unix services Experience with monitoring tools such as Datadog and or OpsGenie Strong background in test automation using Cucumber PyTest Selenium Experience in voice video recording platforms is advantageous Strong programming background capable of designing and delivering solutions quickly Experience with Agile methodologies JIRA Scrum Kanban Strong leadership mentoring and problem-solving skills Ability to collaborate effectively across teams Excellent communication skills both written and verbal