. Overall Focus: Designing, developing, training, deploying, and maintaining AI/ML models, encompassing both classical machine learning techniques and advanced Generative AI/Large Language Models (LLMs). General Responsibilities (Applicable to all AI/ML Engineers): Data preprocessing, feature engineering, model selection, and rigorous hyperparameter tuning. Developing robust and scalable APIs for AI/ML model consumption and integration. Implementing MLOps practices for model monitoring, performance tracking, and automated retraining strategies. Continuously researching and applying advancements in the AI/ML field to project work Required Specialized Skill Sets & Experience: A. Classical Machine Learning (Essential expertise): Deep practical expertise in algorithms such as regression, classification, clustering, anomaly detection, dimensionality reduction, time series analysis, etc. Strong statistical foundation, experimental design, and model evaluation techniques (e.g., cross-validation, precision/recall, ROC/AUC, F1-score). B. Generative AI & LLMs (Essential expertise): Core GenAI Development: Proficiency with open-source GenAI frameworks and libraries (e.g., Hugging Face Transformers, LlamaIndex, Langchain, FAISS). Deep experience in developing and fine-tuning RAG (Retrieval Augmented Generation) based GenAI solutions. Hands-on experience architecting and utilizing major cloud-based GenAI platforms (e.g., AWS Bedrock, Azure OpenAI Service, Google Vertex AI). Applied GenAI Capabilities: Leveraging various GenAI models for tasks such as: Text Processing: Advanced summarization, complex question answering, nuanced text generation, semantic search, knowledge extraction, and high-quality embedding generation. Image Processing (as relevant): Image generation/manipulation, content analysis, object recognition leveraging foundation models. Video Processing (as relevant): Video content analysis, summarization, event detection using GenAI approaches. Fundamental GenAI Understanding: Thorough understanding and practical strategies for addressing bias and hallucination in LLMs. Expertise in vector embeddings , various similarity comparison techniques (e.g., cosine similarity, dot product), and the practical differences between keyword-based vs. semantic search . C. Essential Cross-Cutting Experience (Relevant across the AI/ML team): Document Management & Processing: Strong experience with advanced OCR technologies and document digitization workflows. Proven ability in information extraction from diverse document types (structured, semi-structured, unstructured PDFs, images) and document understanding using ML/AI techniques. D. Desirable (Good to Have) Experience: Agentic AI Experience designing or implementing AI agents or multi-agent systems. MCP (Model Compliance/Criticality/Card Platform - please specify if this means something else in your context ) Relevant Project Experience: Experience aiwith platforms or processes for model governance, documentation, risk assessment, or similar.
. Overall Focus: Designing, developing, training, deploying, and maintaining AI/ML models, encompassing both classical machine learning techniques and advanced Generative AI/Large Language Models (LLMs). General Responsibilities (Applicable to all AI/ML Engineers): Data preprocessing, feature engineering, model selection, and rigorous hyperparameter tuning. Developing robust and scalable APIs for AI/ML model consumption and integration. Implementing MLOps practices for model monitoring, performance tracking, and automated retraining strategies. Continuously researching and applying advancements in the AI/ML field to project work Required Specialized Skill Sets & Experience: A. Classical Machine Learning (Essential expertise): Deep practical expertise in algorithms such as regression, classification, clustering, anomaly detection, dimensionality reduction, time series analysis, etc. Strong statistical foundation, experimental design, and model evaluation techniques (e.g., cross-validation, precision/recall, ROC/AUC, F1-score). B. Generative AI & LLMs (Essential expertise): Core GenAI Development: Proficiency with open-source GenAI frameworks and libraries (e.g., Hugging Face Transformers, LlamaIndex, Langchain, FAISS). Deep experience in developing and fine-tuning RAG (Retrieval Augmented Generation) based GenAI solutions. Hands-on experience architecting and utilizing major cloud-based GenAI platforms (e.g., AWS Bedrock, Azure OpenAI Service, Google Vertex AI). Applied GenAI Capabilities: Leveraging various GenAI models for tasks such as: Text Processing: Advanced summarization, complex question answering, nuanced text generation, semantic search, knowledge extraction, and high-quality embedding generation. Image Processing (as relevant): Image generation/manipulation, content analysis, object recognition leveraging foundation models. Video Processing (as relevant): Video content analysis, summarization, event detection using GenAI approaches. Fundamental GenAI Understanding: Thorough understanding and practical strategies for addressing bias and hallucination in LLMs. Expertise in vector embeddings , various similarity comparison techniques (e.g., cosine similarity, dot product), and the practical differences between keyword-based vs. semantic search . C. Essential Cross-Cutting Experience (Relevant across the AI/ML team): Document Management & Processing: Strong experience with advanced OCR technologies and document digitization workflows. Proven ability in information extraction from diverse document types (structured, semi-structured, unstructured PDFs, images) and document understanding using ML/AI techniques. D. Desirable (Good to Have) Experience: Agentic AI Experience designing or implementing AI agents or multi-agent systems. MCP (Model Compliance/Criticality/Card Platform - please specify if this means something else in your context ) Relevant Project Experience: Experience aiwith platforms or processes for model governance, documentation, risk assessment, or similar.
Requirements and skills : Proven experience as a .NET Developer with MVC knowledge Familiarity with the ASP.NET framework, SQL Server, and design/architectural patterns (e.g. Model-View-Controller (MVC)) Knowledge of at least one of the .NET languages (e.g. C#, Visual Basic . NET) and HTML5/CSS3. Familiarity with architecture styles/APIs (REST, RPC) Excellent troubleshooting and communication skills BSc/B.E in Computer Science, Engineering, or a related field Perks and benefits 5 Days Working Thanks & Regards Team HR
Process Analyst Why Join Us ? Free Cab Facility within Tricity (Mohali, Chandigarh, Panchkula) Structured Training Program, Supportive Work Culture Growth & Learning Opportunities in the US Staffing Domain Key Responsibilities: Communicate effectively with US-based clients and candidates Draft, edit, manage proposals and process documentation Source and screen candidates for US-based job openings Work in coordination with team leads to meet recruitment goals Requirements : Good written and verbal communication skills Basic knowledge of MS Office and internet research Willingness to work in the night shift, Self-motivated with a learning attitude Qualification: Graduate (any stream); 12th pass candidates may also apply for select roles
Requirements : Bachelors or Master’s degree in Computer Science, Engineering, or an equivalent technical field. 4+ years of hands-on experience in QA Automation , covering both UI and API testing. Strong experience in Cypress and/or Nightwatch for UI automation. Practical experience with Selenium WebDriver and Cucumber/BDD frameworks. Proficiency in API testing using Postman (scripts, environments, data-driven tests). Hands-on experience in performance/load testing using JMeter . Strong programming or scripting skills in JavaScript and Java Experience working with test runners and frameworks such as TestNG, Mocha , or similar. Familiarity with reporting tools (HTML reporters, dashboards). Experience with Git and routine practices such as branching, merging, and code reviews. Exposure to CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI, etc.). Working knowledge of SQL/NoSQL databases for data validation. Responsibilities : Lead and manage the complete QA lifecycle across functional, API, UI, and performance testing. Design, plan, and execute test strategies to ensure comprehensive coverage and high-quality releases. Develop, maintain, and enhance automation frameworks to improve test efficiency and stability. Create, review, and execute manual and automated test cases based on business and technical requirements. Collaborate with developers, product managers, and stakeholders to clarify requirements and define acceptance criteria. Analyze test failures, logs, and system behavior to identify issues and drive root cause investigations. Ensure continuous testing by integrating automated suites into CI/CD pipelines. Conduct regression testing, validate defect fixes, and ensure release readiness. Maintain accurate documentation, including test plans, test cases, and execution reports. Continuously improve QA processes, contribute to best practices, and promote a quality-first mindset across the team.
Job description The candidate sought will be part of a talented software team that works on mission critical applications and should have experience in building high performance, scalable and enterprise grade applications. The individual will be involved in Java EE application and SQL development while providing expertise in the full development lifecycle, from concept and design to testing. Responsibilities Design and develop applications for critical systems, delivering high availability and performance. Should understand and be able to contribute to all phases of the development lifecycle. Write well designed, testable, and efficient code. Ensure designs are in compliance with company specifications Prepare and produce releases of software components Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review. Develop SQL queries and Stored Procs for application. Skills Preferred Minimum of 4-7 years of technology experience with adequate hands on technical roles in the field Graduate Computer Science Engineer or related field or a combination of related experience and education Excellent Communication and interpersonal skills (listening, speaking and able to write clear and easy to understand specs) to effectively interact with team members and business users Strong knowledge and work experience in Java and J2EE Should be a quick learner. Strong analytical, trouble shooting and problem-solving skills Good knowledge of database query using SQL Server. Should have good knowledge and working experience on technologies listed below. Core Java, JSP, Servlet, Spring Boot, Spring MVC, Hibernate, JPA Knowledge of frontend technologies like Angular JS/React JS Experience with XML, XSLT, JSON, and schema files Web Services SOAP and/or RESTful Servers – Tomcat/JBOSS Desired Experience in relational data modeling principles and techniques. Ability to mentor junior team members. Experience on cloud services AWS and/or Azure
Sr. Full Stack Developer Job description We are looking for a highly skilled Senior Full Stack Developer to join our dynamic engineering team. The ideal candidate will have hands-on experience in designing, developing, and deploying scalable web applications, with strong expertise in both frontend and backend technologies. You will play a key role in end-to-end development from architecture design to deployment — and mentor junior developers. Responsibilities Design, develop, and maintain full-stack web applications using Spring Boot and React/Angular. Build RESTful APIs and integrate them seamlessly with modern UI frameworks. Participate in solution design and architecture discussions, focusing on scalability and performance. Write clean, maintainable, and efficient code following best practices and coding standards. Collaborate with product managers, QA, DevOps, and UX teams to deliver high-quality software. Lead code reviews and mentor junior developers in best practices. Troubleshoot, debug, and optimize application performance. Work with CI/CD pipelines and deploy applications to cloud platforms (AWS/GCP/Azure). Skills Preferred Minimum 5+ years of experience in full-stack development with Java and modern frontend frameworks Bachelor’s or Master’s degree in Computer Science, Engineering, or related field Experience in Agile/Scrum development environments Strong analytical, problem-solving, and communication skills Excellent Communication and interpersonal skills (listening, speaking and able to write clear and easy to understand specs) to effectively interact with team members and business users Should be a quick learner. Should have good knowledge and working experience on technologies listed below. Technical Skills Required Backend technologies Java 8+, Spring Boot, Spring MVC, Spring Security, JPA/Hibernate Experience with RESTful APIs and microservices architecture Strong understanding of authentication (OAuth2, JWT), and caching strategies Frontend: Strong proficiency in React.js or Angular. HTML5, CSS3, JavaScript (ES6+), TypeScript State management libraries (Redux / NgRx) and reusable component design Responsive design, REST/GraphQL API integration Others Familiarity with Docker, Kubernetes, and CI/CD tools (Jenkins, GitLab CI/CD, etc.) Unit and integration testing frameworks (JUnit, Mockito, Jest, Cypress, etc.) PostgreSQL or SQL Server (strong SQL skills) Exposure to NoSQL databases like MongoDB or Redis (nice to have) Desired Skills Experience with Cloud Run, Terraform, or serverless deployment Exposure to AI/ML model integration or data visualization projects Knowledge of GraphQL or WebSockets for real-time applications