11+ QML Jobs in Chennai | QML Job openings in Chennai

• 5+ years of hands-on ServiceNow development experience.
• 3+ years of dedicated, in-depth experience implementing, configuring, and customizing the ServiceNow SPM/ITBM suite.
• Technical Certifications:
• Must-Have: ServiceNow Certified Implementation Specialist – Project Portfolio Management (CIS-PPM).
• Strongly Required: ServiceNow Certified Application Developer (CAD).
• SPM Module Expertise (Hands-On):
• Demonstrated mastery of the PPM suite (Demand, Project, Portfolio, Resource Management).
• Proven experience with Application Portfolio Management (APM).
• Solid understanding and configuration experience with Agile Development 2.0 and its integration points.
• Platform Skills:
• Expert proficiency in ServiceNow scripting (both client-side and server-side).
• Strong knowledge of the ServiceNow platform architecture, including the Common Service Data Model (CSDM).
• Experience building and consuming REST/SOAP web services.
• Analytical Skills:
• Excellent problem-solving skills with the ability to analyze complex business requirements and translate them into technical designs.
• Strong communication and interpersonal skills, with the ability to effectively collaborate with both technical teams and business leaders.

Preferred Qualifications:

• BS degree in Computer Science or Engineering or equivalent experience

Roles & Responsibilities

Roles and Responsibilities:

• SPM Module Implementation: Lead the design, configuration, development, and implementation of core SPM applications, including:
• Project Portfolio Management (PPM): Including Ideation, Demand, Project, Program, and Portfolio modules.
• Application Portfolio Management (APM): For application inventory, rationalization, and technology portfolio management.
• Agile Development 2.0: Configure and manage stories, epics, themes, and sprints, ensuring seamless integration with PPM.
• Resource Management: Develop and configure solutions for capacity planning, resource allocation, and time management.
• Financial Management: Assist in configuring cost models, budgets, and financial reporting related to projects and portfolios.
• Custom Development & Platform Expertise:
• Develop high-quality, scalable, and maintainable custom solutions using ServiceNow platform capabilities, including Business Rules, Client Scripts, UI Actions, UI Policies, and Flow Designer/Workflows.
• Utilize advanced scripting skills in JavaScript, Glide APIs (GlideRecord, GlideAjax), and HTML/CSS to deliver custom functionality.
• Serve as the technical SME for the SPM module, providing guidance on best practices and platform limitations.
• Integrations:
• Design and implement integrations between ServiceNow SPM and other enterprise systems (e.g., Jira, Azure DevOps, financial systems) using IntegrationHub, REST, and SOAP APIs.
• Stakeholder Collaboration & Support:
• Collaborate with business analysts and stakeholders to gather requirements, create technical designs, and deliver solutions that meet business needs.
• Provide advanced support for SPM applications, troubleshoot complex issues, and perform root cause analysis.
• Reporting and Analytics:
• Create sophisticated reports, Performance Analytics dashboards, and custom visualizations to provide stakeholders with actionable insights into portfolio health, project status, and resource utilization.
• Governance and Maintenance:
• Manage application upgrades, patching, and release cycles for the SPM suite.
• Ensure adherence to coding standards, development best practices, and effective use of update sets for deployments.

Job Summary:

As an AWS Data Engineer, you will be responsible for designing, developing, and maintaining scalable, high-performance data pipelines using AWS services. With 6+ years of experience, you’ll collaborate closely with data architects, analysts, and business stakeholders to build reliable, secure, and cost-efficient data infrastructure across the organization.

Key Responsibilities:

• Design, develop, and manage scalable data pipelines using AWS Glue, Lambda, and other serverless technologies
• Implement ETL workflows and transformation logic using PySpark and Python on AWS Glue
• Leverage AWS Redshift for warehousing, performance tuning, and large-scale data queries
• Work with AWS DMS and RDS for database integration and migration
• Optimize data flows and system performance for speed and cost-effectiveness
• Deploy and manage infrastructure using AWS CloudFormation templates
• Collaborate with cross-functional teams to gather requirements and build robust data solutions
• Ensure data integrity, quality, and security across all systems and processes

Required Skills & Experience:

• 6+ years of experience in Data Engineering with strong AWS expertise
• Proficient in Python and PySpark for data processing and ETL development
• Hands-on experience with AWS Glue, Lambda, DMS, RDS, and Redshift
• Strong SQL skills for building complex queries and performing data analysis
• Familiarity with AWS CloudFormation and infrastructure as code principles
• Good understanding of serverless architecture and cost-optimized design
• Ability to write clean, modular, and maintainable code
• Strong analytical thinking and problem-solving skills

Responsibilities:

• Collaborate with cross-functional teams to design, develop, and deliver robust and scalable web applications using the MERN stack (MongoDB, Express.js, React.js, Node.js).

• Translate user requirements and wireframes into ecient and responsive front-end components while ensuring high performance and usability.

• Develop and maintain server-side logic using Node.js and Express.js, ensuring smooth integration with the front-end components.

• Design and implement data models, schemas, and queries for MongoDB, and manage database interactions effectively.

• Write reusable, testable, and efficient code following best practices and coding standards.

• Perform unit and integration testing of both front-end and back-end components to ensure reliability and quality of the application.

• Troubleshoot, debug, and resolve issues that arise during development, testing, and deployment phases.

• Stay up-to-date with industry trends and technologies, and proactively suggest improvements to enhance application performance, security, and maintainability.

• Participate in code reviews, provide constructive feedback, and mentor junior developers when necessary.

• Contribute to the continuous improvement of development processes, tools, and methodologies.

About us:

HappyFox is a software-as-a-service (SaaS) support platform. We offer an enterprise-grade help desk ticketing system and intuitively designed live chat software.

We serve over 12,000 companies in 70+ countries. HappyFox is used by companies that span across education, media, e-commerce, retail, information technology, manufacturing, non-profit, government and many other verticals that have an internal or external support function.

To know more, Visit! - https://www.happyfox.com/

We’re looking for a Lead Backend Engineer with 5+ years of experience in building web services to join our engineering team to help architect, build and run our growing list of products. You should have prior experience being responsible for building sufficiently complex products/services and mentoring software engineers.

Responsibilities: 

• Lead a team of engineers working on our product roadmap. You are expected to contribute to feature development with hands-on development tasks
• Oversee software architecture, source control workflows, and CI/CD processes and perform code reviews to ensure exceptional code quality
• Improve the development experience and the quality of the codebase. You will define and uphold best practices and coding standards for the team
• Responsible for architecture and design decisions
• Own stability and performance of the service that you work on
• Work with the Engineering Manager to ship stable software on time
• Contribute to the vision and long-term strategy in your area of expertise

Requirements: 

• 2+ years of experience in a technical lead role designing and building complex backend systems
• 5+ years of professional software development experience
• Excellent knowledge of best practices and coding patterns
• Deep knowledge of backend programming languages like Python and web application frameworks like Django
• Solid experience in building web services using relational databases like PostgreSQL or NoSQL databases like MongoDB
• Proficiency with Amazon Web Services (AWS) or Google Cloud Platform or Azure
• Extensive experience with Linux/UNIX production environments
• Strong sense of quality in terms of both program architecture and code style
• Passion to dig into technically complex problems to troubleshoot and figure out a solution
• Desire to continuously improve and ship the best quality product
• Pragmatic approach to make sure technical decisions align with actual business needs. 
• Good understanding of the trade-offs when building for product value, reliability, or performance
• Excellent communication skills with the ability to discuss and explain your point of view clearly and effectively
• An engineering degree is a must(B.E. CS preferred)

Our job is one of empowerment. Specifically, empowering our clients to improve their business through advances in technology and data. As the ad tech ecosystem continues to become more complex, we are counted on to provide expertise on digital marketing technologies, incorporate strategy and manage tracking of all digital marketing efforts. But as our client roster continues to grow, we’re going to need more help.

YOUR RESPONSIBILITIES

• Automated testing of complex SPA Web application (brand-new software products based on unified platform, new features, bug verification), requirement testing, analysis and clarification (direct communication with product owner),
• Communication with different cross-functional teams
• Following automation testing standards set in the team
• Help to build fully automated testing pipeline

 REQUIRED SKILLS AND EXPERIENCE                                                                                              

• 3-5 years of experience in automation testing
• Testing web-applications (UI and API), including SPA
• Black box testing (boundary values, equivalence partitioning)
• UI/UX Testing
• C# experience of 2+ years
• NUnit or similar
• Selenium WebDriver
• CSS-selectors                                                                    

DESIRABLE SKILLS AND EXPERIENCE                                           

• Basic knowledge of core JavaScript
• Desire to learn tools and techniques
• Confluence or similar
• Bug tracking system (Jira)
• TeamCity
• Allure or similar
• Jira X-Ray or similar
• Performance testing experience
• Cross-browser testing experience
• Security testing experience                                             

PERSONAL SKILLS

• Clever personality
• Strong spirit skills set: conflict resistant, self -motivated, result-oriented, responsible, honest, “open”, courageous

Job Overview

                         We are looking for a ML Architect to help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. They must have strong experience using variety of data mining and data analysis methods, building and implementing models, using/creating algorithm’s and creating/running simulations.  They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. Automating to identify the textual data with their properties and structure form various type of document.

Responsibilities

• Selecting features, building and optimizing classifiers using machine learning techniques
• Data mining using state-of-the-art methods
• Enhancing data collection procedures to include information that is relevant for building analytic systems
• Processing, cleansing, and verifying the integrity of data used for analysis
• Creating automated anomaly detection systems and constant tracking of its performance
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Secure and manage when needed GPU cluster resources for events
• Write comprehensive internal feedback reports and find opportunities for improvements
• Manage GPU instances/machines to increase the performance and efficiency of the ML/DL model.

Skills and Qualifications

• Strong Hands-on experience in Python Programming
• Working experience with Computer Vision models - Object Detection Model, Image Classification
• Good experience in feature extraction, feature selection techniques and transfer learning
• Working Experience in building deep learning NLP Models for text classification, image analytics-CNN,RNN,LSTM.
• Working Experience in any of the AWS/GCP cloud platforms, exposure in fetching data from various sources.
• Good experience in exploratory data analysis, data visualisation, and other data preprocessing techniques.
• Knowledge in any one of the DL frameworks like Tensorflow, Pytorch, Keras, Caffe
• Good knowledge in statistics,distribution of data and in supervised and unsupervised machine learning algorithms.
• Exposure to OpenCV Familiarity with GPUs + CUDA
• Experience with NVIDIA software for cluster management and provisioning such as nvsm, dcgm and DeepOps.
• We are looking for a candidate with 14+ years of experience, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:
• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with AWS cloud services: EC2, RDS, AWS-Sagemaker(Added advantage)
• Experience with object-oriented/object function scripting languages in any: Python, Java, C++, Scala, etc.