Sales Executive

Job Description

We are seeking a highly skilled DevOps / Kubernetes Engineer. The ideal candidate will have strong expertise in container orchestration, infrastructure as code, and GitOps workflows, with hands-on experience in Azure cloud environments. You will be responsible for designing, deploying, and managing modern cloud-native infrastructure and applications at scale.

Key Responsibilities:

· Manage and operate Kubernetes clusters (AKS / K3s) for large-scale applications.

· Implement infrastructure as code using Terraform or OpenTofu for scalable, reliable, and secure infrastructure provisioning.

· Deploy and manage applications using Helm and ArgoCD with GitOps best practices.

· Work with Podman and Docker as container runtimes for development and production environments.

· Collaborate with cross-functional teams to ensure smooth deployment pipelines and CI/CD integrations.

· Optimize infrastructure for cost, performance, and reliability within Azure cloud.

· Troubleshoot, monitor, and maintain system health, scalability, and performance.

Required Skills & Experience:

· Strong hands-on experience with Kubernetes (AKS / K3s) cluster orchestration.

· Proficiency in Terraform or OpenTofu for infrastructure as code.

· Experience with Helm and ArgoCD for application deployment and GitOps.

· Solid understanding of Docker / Podman container runtimes.

· Cloud expertise in Azure with experience deploying and scaling workloads.

· Familiarity with CI/CD pipelines, monitoring, and logging frameworks.

· Knowledge of best practices around cloud security, scalability, and high availability.

Preferred Qualifications:

· Contributions to open-source projects under Apache 2.0 / MPL 2.0 licenses.

· Experience working in global distributed teams across CST/PST time zones.

· Strong problem-solving skills and ability to work independently in a fast-paced environment.

About the Role

We are seeking a highly skilled Senior AI/ML Engineer to join our dynamic team. The ideal candidate will have extensive experience in designing, building, and deploying machine learning models and AI solutions to solve real-world business challenges. You will collaborate with cross-functional teams to create and integrate AI/ML models into end-to-end applications, ensuring models are accessible through APIs or product interfaces for real-time usage.

Responsibilities

• Lead the design, development, and deployment of machine learning models for various use cases such as recommendation systems, computer vision, natural language processing (NLP), and predictive analytics.

• Work with large datasets to build, train, and optimize models using techniques such as classification, regression, clustering, and neural networks.

• Fine-tune pre-trained models and develop custom models based on specific business needs.

• Collaborate with data engineers to build scalable data pipelines and ensure the smooth integration of models into production.

• Collaborate with frontend/backend engineers to build AI-driven features into products or platforms.

• Build proof-of-concept or production-grade AI applications and tools with intuitive UIs or workflows.

• Ensure scalability and performance of deployed AI solutions within the full application stack.

• Implement model monitoring and maintenance strategies to ensure performance, accuracy, and continuous improvement of deployed models.

• Design and implement APIs or services that expose machine learning models to frontend or other systems

• Utilize cloud platforms (AWS, GCP, Azure) to deploy, manage, and scale AI/ML solutions.

• Stay up-to-date with the latest advancements in AI/ML research, and apply innovative techniques to improve existing systems.

• Communicate effectively with stakeholders to understand business requirements and translate them into AI/ML-driven solutions.

• Document processes, methodologies, and results for future reference and reproducibility.

Required Skills & Qualifications

• Experience: 3-5+ years of experience in AI/ML engineering roles, with a proven track record of successfully delivering machine learning projects.

• AI/ML Expertise: Strong knowledge of machine learning algorithms (supervised, unsupervised, reinforcement learning) and AI techniques, including NLP, computer vision, and recommendation systems.

• Programming Languages: Proficient in Python and relevant ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras.

• Data Manipulation: Experience with data manipulation libraries such as Pandas, NumPy, and SQL for managing and processing large datasets.

• Model Development: Expertise in building, training, deploying, and fine-tuning machine learning models in production environments.

• Cloud Platforms: Experience with cloud platforms such as AWS, GCP, or Azure for the deployment and scaling of AI/ML models.

• MLOps: Knowledge of MLOps practices for model versioning, automation, and monitoring.

• Data Preprocessing: Proficient in data cleaning, feature engineering, and preparing datasets for model training.

• Strong experience building and deploying end-to-end AI-powered applications— not just models but full system integration.

• Hands-on experience with Flask, FastAPI, Django, or similar for building REST APIs for model serving.

• Understanding of system design and software architecture for integrating AI into production environments.

• Experience with frontend/backend integration (basic React/Next.js knowledge is a plus).

• Demonstrated projects where AI models were part of deployed user-facing applications.

• NLP & Computer Vision: Hands-on experience with natural language processing or computer vision projects.

• Big Data: Familiarity with big data tools and frameworks (e.g., Apache Spark, Hadoop) is an advantage.

• Problem-Solving Skills: Strong analytical and problem-solving abilities, with a focus on delivering practical AI/ML solutions.

Nice to Have

• Experience with deep learning architectures (CNNs, RNNs, GANs, etc.) and techniques.

• Knowledge of deployment strategies for AI models using APIs, Docker, or Kubernetes.

• Experience building full-stack applications powered by AI (e.g., chatbots, recommendation dashboards, AI assistants, etc.).

• Experience deploying AI/ML models in real-time environments using API gateways, microservices, or orchestration tools like Docker and Kubernetes.

• Solid understanding of statistics and probability.

• Experience working in Agile development environments.

What You'll Gain

• Be part of a forward-thinking team working on cutting-edge AI/ML technologies.

• Collaborate with a diverse, highly skilled team in a fast-paced environment.

• Opportunity to work on impactful projects with real-world applications.

• Competitive salary and career growth opportunities

Senior UI/UX Designer

Job Summary: We are seeking a highly skilled Senior UI/UX Designer to lead the design of our company's digital products and services. The ideal candidate will have at least 5 years of experience in UI/UX design and a proven track record of creating elegant and effective user-centered designs. You will work closely with cross-functional teams including product managers, developers, and other designers to create innovative solutions that meet user needs and business goals.

Responsibilities:

·        Lead the design of our company's digital products and services, ensuring that they meet user needs and business goals.

·        Collaborate with cross-functional teams to gather requirements, define user personas, and create user flows and wireframes.

·        Create high-fidelity mockups and prototypes to demonstrate design concepts and interactions.

·        Conduct user research and usability testing to validate design decisions and identify areas for improvement.

·        Work with developers to ensure that designs are implemented to spec and delivered on time.

·        Stay up-to-date with the latest design trends and technologies, and share your knowledge with the team.

·        Mentor and train junior designers.

Requirements:

·        At least 5 years of experience in UI/UX design, with a strong portfolio of work that demonstrates your skills.

·        Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.

·        Strong problem-solving skills, with the ability to think creatively and come up with innovative solutions.

·        Proficiency with design tools such as Sketch, Adobe Creative Suite, Figma, or similar.

·        Knowledge of HTML/CSS and front-end development is a plus.

·        Bachelor's degree in design, human-computer interaction, or related field is preferred.

If you are a self-motivated, detail-oriented, and experienced UI/UX designer who is passionate about creating innovative digital products and services, we encourage you to apply for this position.

• Should have handled Voice | Chat | Email audits for a team of 15 to 20 advisors
• Ensure coaching & feedback is done for team members to improve overall customer experience
• Should have an eye for detail & report non-compliance in audit findings
• Good command in MS Excel

• Solid background and proven experience in the Java Tech Stacks
• Expertise in Java and in JavaScript based framework
• Expertise in multiple front-end languages and libraries (e.g., HTML/ CSS, JavaScript, XML, jQuery)
• Familiarity with databases (e.g., MySQL, MongoDB), web servers (e.g., Apache) and UI/UX design
• Experience developing desktop and mobile applications
• Familiarity with common stacks
• Excellent communication and teamwork skills
• Great attention to detail and problem-solving skills

Simultaneously develop app and target for both Android and iOS using third party SDKs and APIs

Required – React Native, Firebase Integration, Third Party SDK integrations

• Own the delivery of multiple features of the product end to end while hands-on in development as well
• Advocate best development practices such as continuous integration/continuous delivery, automation (testing and infrastructure) and code modularity, extensibility, quality
• Adopt security- first approach in the product development and ensure automated and manual security checks in place across the delivery pipeline
• Lead by example and mentor other developers in the team both technically and professionally
• Support other Senior Product Engineers and contribute to their growth professionally
• Work with  tech leads and the team to ensure shared technology vision and develop state of the art design and architecture for any product development
• Work with other functions such as testing, analysis, infra management, support to ensure faster delivery of products
• Ensure timely and accurate communication with broader team in order to share understanding of product functionality, features, and technology vision
• Look out for technology trends across the industry and apply relevant developments to the products
• Work with the decentralised application business owners to ensure their vision is realised through efficient technology and delivery timelines
• Work in a dynamic, collaborative, transparent, non-hierarchical, and ego-free culture where your talent is valued over a role title 
• Develop personally and professional outside of the confinement of a traditional career path by focusing on what you’re passionate about rather than a predetermined one-size-fits-all plan 

• Must have extensive hands on experiencing designing and building mobile applications on Android
• Must have excellent programming, debugging and scripting skills with a solid understanding of Object-Oriented Design principles
• Must have ability to learn/iterate quickly in a rapidly changing technical stack with nascent codebase and developer tools
• Must possess a passion for delivery-focused development, and overcoming challenges through teamwork and self-motivation
• Ability to work in a variety of client settings and in a team-oriented, collaborative environment 
• Ability to communicate technical vision and direction of the product and make significant impacts to technology and design choices

• Architectural design while leading and inspiring software development teams 
• Leading development of large, custom-built object-oriented applications 
• Continuous integration tools and test automation
• Managing systems in production and understands release process, monitoring, and debugging
• Working and developing in agile environment working with XP/Scrum development practices

• Expertise in end to end Android development and release management
• Proficiency in at least two of the following: Java,  NodeJS, Go, JavaScript, Python programming stacks, and passion for software engineering and craftsman-like coding prowess 
• Knowledge of software practices like refactoring, clean code, domain driven design, Encapsulation etc 
• Hands on experience managing databases like MongoDB, Cassandra, Redis
• Exposure to event driven systems and event streaming engines like Kafka
• Good knowledge of DevOps tooling like docker, kubernetes, ansible/chef, AWS.
• Solid OO skills, including strong design patterns knowledge and enterprise integration