Job Title: Data Architect Location: Noida (Sec-132) Job Description: 1. Strong experience in Azure - Azure Data Factory, Azure Data Lake, Azure Data bricks 2. Good at Cosmos DB, Azure SQL data warehouse/synapse 3. Excellent in data ingestion (Batch and real-time processing) 4. Good understanding of synapse workspace and synapse analytics 5. Good hands-on experience on Pyspark or Scala spark 6. Good hands-on experience on Delta Lake and Spark streaming 7. Good Understanding of Azure DevOps and Azure Infrastructure concepts 8. Have at least one project end-to-end hands-on implementation experience as an architect 9. Expert and persuasive communication skills (verbal and written) 10. Expert in presentation and skilled at managing multiple clients. 11. Good at Python / Shell Scripting 12. Designing the data Catalog, Governance Architecture and data security. 13. Developing and maintaining a centralized data catalog that documents metadata, data lineage, and data definitions across various data sources and systems. 14. Developing Metadata to ensure data discoverability, accessibility, and understanding for data users. 15. Implementing data governance workflows and processes to manage data lifecycle 16. All other duties and responsibilities as assigned

Job Summary: The Desktop Support Engineer is responsible for providing technical assistance and support for incoming queries and issues related to computer systems, software, and hardware. This role involves troubleshooting problems, managing systems, and ensuring that end-user devices operate efficiently. The ideal candidate should have excellent problem-solving skills, communication skills, and a solid understanding of IT systems. Key Responsibilities: Technical Support: Respond to and resolve user-reported technical issues in a timely and efficient manner. Diagnose and troubleshoot hardware, software, and network connectivity issues. Assist in the installation, configuration, and maintenance of desktops, laptops, printers, and other peripheral devices System Management: Perform system upgrades, patches, and maintenance activities to ensure optimal performance. Manage and update user accounts, passwords, and permissions in accordance with company policies. Incident and Problem Management: Log and track all incidents and service requests in the ticketing system. Escalate unresolved issues to higher-level support teams as necessary. Document troubleshooting steps, resolutions, and knowledge base articles. Asset Management: Maintain an inventory of IT equipment, including tracking replacements and upgrades. Assist in hardware and software procurement and asset lifecycle management. Customer Service: Communicate effectively with end-users to understand and resolve technical problems. Provide training and support to users on new systems, tools, and technologies. Qualifications and Skills: Education: Bachelors degree in computer science, Information Technology, or a related field (or equivalent experience). Technical Skills: Proficiency in Windows, macOS, and/or Linux operating systems. Familiarity with troubleshooting tools and techniques. Knowledge of Active Directory, Office 365, and remote desktop tools. Basic networking knowledge (TCP/IP, DNS, VPN, etc.). Soft Skills: Excellent verbal and written communication skills. Strong organizational and multitasking abilities. Customer-oriented mindset and problem-solving skills.

Job Title: Assistant Manager Human Resources Department: Human Resources Experience Required: 3-4 Years Location: Sec 132, Noida, Uttar Pradesh - 201308 Job Type: Full-Time Reporting To: Asst. General Manager HR Job Summary: We are seeking an energetic and proactive Assistant Manager HR to support and lead key HR functions including talent acquisition, employee engagement, HR operations, policy compliance, and performance management. The ideal candidate should have 3+ years of HR experience and a proven track record of handling generalist responsibilities with increasing autonomy. Key Responsibilities: Onboarding: Oversee onboarding formalities and ensure a seamless new hire experience. Employee Engagement & Retention: Design and implement engagement initiatives to boost employee morale and satisfaction. Conduct stay interviews and support retention strategies. Drive internal communication and culture-building activities. Performance Management: Facilitate goal setting, mid-year, and annual review cycles. Coordinate with department heads to drive performance improvement plans. HR Operations: Maintain accurate employee records, HR dashboards, and MIS reports. Ensure timely payroll inputs, leave management, and attendance tracking. Learning & Development: Identify skill gaps and recommend training programs. Coordinate internal and external learning interventions. Track training effectiveness and ROI. Policy Implementation & HR Strategy: Contribute to the review and rollout of HR policies and processes. Provide inputs for continuous process improvement and HR automation. Offboarding & Exit Management: Manage the entire exit process including resignation acceptance, clearance, and exit interviews. Ensure smooth handover and documentation from departing employees. Analyse exit interview data to identify attrition trends and improvement areas. Coordinate with IT, Finance, and Admin for final settlement, asset recovery, and system access revocation. Maintain and update offboarding reports and ensure adherence to timelines. Qualifications & Skills: MBA/PGDM in Human Resources or equivalent. Minimum 3 years of relevant experience in core HR functions. Sound knowledge of employment laws and HR best practices. Strong interpersonal, leadership, and problem-solving skills. Proficient in MS Office and experience with HRMS tools. What We Offer: An opportunity to grow and take ownership of core HR functions. Exposure to strategic HR initiatives and leadership interaction. A collaborative and inclusive workplace culture.

Key Responsibility Areas (KRA) Designation: IT Service Desk Executive 1. Service Desk and IT Support Responsible for logging IT issues through phone, email, chat, and web portal. Log, track, and resolve incidents using Manage Engine and ADX tools. Assign tasks to engineers and ensure timely closure. Ensure HP warranty and AMC support coverage for all IT equipment. 2. Data Management and Reporting Maintain HP warranty call tracker in ADX. Ensure SLA compliance and generate management reports including: Daily Open Call, Summary, and CSAT Reports Printer/Projector Reports AMC Tracker Reports (Monthly) MIS Reports (Weekly/Monthly) Monthly Service Desk Presentations 3. Procurement and Vendor Coordination Obtain hardware quotations, coordinate approvals, and process POs. Track invoice submissions and follow up for timely payments. Coordinate with vendors for supply chain efficiency 4. Vendor and Team Performance Monitoring Monitor the performance of engineers across all locations and submit daily reports. Evaluate AMC partners' service and share improvement feedback. Prepare and share Minutes of Meetings (MOMs) daily to ensure smooth operations.

Designation: - ML / MLOPs Engineer Location: - Noida (Sector- 132) Immediate Joiners Only Key Responsibilities: Model Development & Algorithm Optimization: Design, implement, and optimize ML models and algorithms using libraries and frameworks such as TensorFlow, PyTorch, and scikit-learn to solve complex business problems. Training & Evaluation: Train and evaluate models using historical data, ensuring accuracy, scalability, and efficiency while fine-tuning hyperparameters. Data Preprocessing & Cleaning: Clean, preprocess, and transform raw data into a suitable format for model training and evaluation, applying industry best practices to ensure data quality. Feature Engineering: Conduct feature engineering to extract meaningful features from data that enhance model performance and improve predictive capabilities. Model Deployment & Pipelines: Build end-to-end pipelines and workflows for deploying machine learning models into production environments, leveraging Azure Machine Learning and containerization technologies like Docker and Kubernetes. Production Deployment: Develop and deploy machine learning models to production environments, ensuring scalability and reliability using tools such as Azure Kubernetes Service (AKS). End-to-End ML Lifecycle Automation: Automate the end-to-end machine learning lifecycle, including data ingestion, model training, deployment, and monitoring, ensuring seamless operations and faster model iteration. Performance Optimization: Monitor and improve inference speed and latency to meet real- time processing requirements, ensuring efficient and scalable solutions. NLP, CV, GenAI Programming: Work on machine learning projects involving Natural Language Processing (NLP), Computer Vision (CV), and Generative AI (GenAI), applying state-of-the-art techniques and frameworks to improve model performance. Collaboration & CI/CD Integration: Collaborate with data scientists and engineers to integrate ML models into production workflows, building and maintaining continuous integration/continuous deployment (CI/CD) pipelines using tools like Azure DevOps, Git, and Jenkins. Monitoring & Optimization: Continuously monitor the performance of deployed models, adjusting parameters and optimizing algorithms to improve accuracy and efficiency. Security & Compliance: Ensure all machine learning models and processes adhere to industry security standards and compliance protocols, such as GDPR and HIPAA. Documentation & Reporting: Document machine learning processes, models, and results to ensure reproducibility and effective communication with stakeholders. Required Qualifications: Bachelors or Masters degree in Computer Science, Engineering, Data Science, or a related field. 3+ years of experience in machine learning operations (MLOps), cloud engineering, or similar roles. Proficiency in Python, with hands-on experience using libraries such as TensorFlow, PyTorch, scikit-learn, Pandas, and NumPy. Strong experience with Azure Machine Learning services, including Azure ML Studio, Azure Databricks, and Azure Kubernetes Service (AKS). Knowledge and experience in building end-to-end ML pipelines, deploying models, and automating the machine learning lifecycle. Expertise in Docker, Kubernetes, and container orchestration for deploying machine learning models at scale. Experience in data engineering practices and familiarity with cloud storage solutions like Azure Blob Storage and Azure Data Lake. Strong understanding of NLP, CV, or GenAI programming, along with the ability to apply these techniques to real-world business problems. Experience with Git, Azure DevOps, or similar tools to manage version control and CI/CD pipelines. Solid experience in machine learning algorithms, model training, evaluation, and hyperparameter tuning

Job Title: HR Recruiter Location: Noida Job Type: Full-time Experience Required: Fresher Job Description: We are looking for a dynamic and motivated HR Recruiter to join our team. The ideal candidate will be responsible for managing the end-to-end recruitment cycle to attract and hire the best talent for the organization. Key Responsibilities: • Source candidates through various channels (job portals, social media, referrals, etc.) • Screen resumes and conduct initial telephonic interviews • Coordinate and schedule interviews with hiring managers • Follow up with candidates throughout the selection process • Maintain and update candidate databases and reports • Ensure a positive candidate experience • Handle onboarding formalities for selected candidates Requirements: • Bachelor's / Master's degree in human resources or related field • Excellent communication and interpersonal skills • Ability to work in a fast-paced environment • Proficient in MS Office and recruitment tools/portals