Role Purpose: The purpose of this role is to design, test, and maintain software programs for operating systems or applications that need to be deployed at the client s end, ensuring they meet 100% quality assurance standards. Key Responsibilities: 1. Understanding and Designing Software: Study information needs, system flows, data usage, and work processes to develop software solutions. Investigate problem areas and work through the software development lifecycle (SDLC). Conduct root cause analysis of system issues and problem statements. Suggest improvements to system performance and availability. Convert client requirements into feasible designs. 2. Software Development and Coding: Evaluate operational feasibility, including analysis, problem definition, and requirements gathering. Develop automated processes for software validation, including designing test cases and executing them. Modify software to fix errors, adapt it to new hardware, or improve performance. Analyze information to recommend new system installations or modifications. Ensure all code is error-free and follows defined project/program standards. Document software development activities, including status updates and project specifications. Maintain timely, comprehensive, and accurate documentation as needed. Coordinate with the team on the daily status and progress of the project. 3. Status Reporting and Customer Focus: Gather requirements and clarifications from clients for improved quality. Collect regular feedback to ensure timely and smooth delivery. Stay updated with best practices and new programming languages through continuing education and training. Collaborate with engineering staff to evaluate software-hardware interfaces and develop specifications. Provide clear documentation, including flowcharts, code comments, and charts for better understanding by clients. Ensure professional and timely communication with clients, including emails, calls, and fault report tracking. Performance Metrics: 1. Continuous Integration, Deployment & Monitoring of Software: Ensure 100% error-free onboarding and implementation. Achieve throughput percentage and adhere to the schedule/release plan. 2. Quality & Customer Satisfaction (CSAT): Deliver on-time software and manage troubleshooting queries. Ensure positive customer experience and complete necessary certifications for skill upgradation. 3. Management Information System (MIS) & Reporting: Ensure 100% on-time generation of MIS and reports. Join Wipro: Reinvent your career by joining Wipro, where the evolution of business and technology is in our DNA. We are committed to supporting your career growth and empowering you to design your own professional reinvention. Join us at Wipro and realize your ambitions. Applications from people with disabilities are explicitly welcome.

Job Description: Zithas Technologies Pvt. Ltd. is a forward-thinking tech company specializing in innovative digital solutions. We pride ourselves on our collaborative work environment and our commitment to professional development. We are currently seeking a talented MERN Stack Developer to join our dynamic team in Vadodara. Roles & Responsibilities: Develop and maintain scalable web applications using the MERN (MongoDB, Express.js, React.js, Node.js) stack. Collaborate with cross-functional teams to define, design, and ship new features. Optimize applications for maximum speed and scalability. Ensure the technical feasibility of UI/UX designs. Write clean, maintainable, and efficient code. Perform code reviews and provide constructive feedback to peers. Troubleshoot and debug applications. Stay up to date with emerging trends and technologies in web development. Soft Skills Requirements Bachelor's degree in computer science, Engineering, or a related field. Proven experience as a MERN Stack Developer or similar role. Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model. Experience with popular React.js workflows (such as Flux or Redux). Familiarity with RESTful APIs. Knowledge of modern authorization mechanisms, such as JSON Web Token. Experience with common front-end development tools such as Babel, Webpack, NPM, etc. Ability to understand business requirements and translate them into technical requirements. Excellent problem-solving skills and attention to detail. Strong communication and teamwork abilities. Preferred Skills: Experience with server-side rendering. Knowledge of AWS, Azure, or other cloud services. Understanding of CI/CD pipelines and DevOps practices. Familiarity with Agile/Scrum methodologies. Qualification : Bachelor's degree in computer science, Engineering, or a related field.

Job Title: Head - Business Intelligence & AI Location: Vadodara Department: IT Services Employee Type: Permanent Experience Required: 8 12 Years Reporting To: Chief Information Officer Position Overview: We are looking for an experienced and visionary Head of Business Intelligence & AI to lead our data strategy, build scalable data models, and drive AI and analytics innovation throughout the organization. This senior leadership role blends deep technical expertise in data architecture, AI/ML, ETL, dashboarding, and emerging AI technologies such as Generative AI (GenAI) and Agentic AI with the ability to align data-driven initiatives with business goals. In this role, you will spearhead data and AI transformation across multiple functions R&D, production, supply chain, sales, marketing, finance, HR, and compliance leveraging analytics, predictive modeling, and advanced AI tools to enable informed decision-making and operational excellence. Key Responsibilities: 1. Data Strategy & Leadership Define and execute enterprise-wide BI and analytics strategies aligned with business objectives and digital transformation goals. Develop a comprehensive AI and analytics roadmap to improve operational efficiency and business outcomes. Lead design and maintenance of a centralized, secure, and scalable data lake supporting cross-functional BI and AI initiatives. 2. AI & Analytics Enablement Identify impactful AI use cases across functions (e.g., predictive maintenance, market demand forecasting, pricing optimization). Apply BI and AI techniques to monitor KPIs, optimize processes, and enhance employee training programs. Lead advanced analytics, AI/ML initiatives, and scenario planning efforts. 3. Stakeholder Engagement & Communication Collaborate with executive leadership, department heads, and IT teams to translate business questions into actionable data insights and dashboards. Provide strategic AI and analytics insights to C-suite executives to foster a data-driven culture. 4. Team Leadership & Development Lead, mentor, and grow a high-performing AI and analytics team. Promote innovation and best practices in data science, AI, and business analytics. 5. AI & GenAI Initiatives Lead the adoption and deployment of AI/ML, including large language models (LLMs), Retrieval-Augmented Generation (RAG), and other GenAI technologies. Identify new data science opportunities to create business value across the organization. 6. Data Governance & Quality Ensure data governance, security, and quality management practices are implemented and maintained to uphold data integrity and compliance. Education & Experience: Bachelor s or Master s degree in Computer Science, Data Science, Statistics, or related field. PhD is a plus. 10+ years of experience in analytics, data architecture, or related leadership roles. Strong knowledge of data modeling techniques and modern data architecture. Experience with SQL, Python, R, and at least one cloud platform (AWS, GCP, Azure). Hands-on experience with modern data warehousing (Snowflake, BigQuery, Redshift) and orchestration tools (Airflow, DBT). Technical Competencies: Expertise in analytics tools such as Tableau, Power BI, and integration with enterprise systems. Deep understanding of manufacturing processes and best practices. Proven track record of implementing scalable enterprise analytics and predictive modeling solutions. Proficient with AI/ML techniques, including GenAI, LLMs, and emerging data science technologies. Experience managing data lakes, end-to-end data pipelines, and cloud-based data platforms. Behavioral Competencies: Strong leadership and team management skills. Excellent communication skills, capable of engaging both technical and non-technical audiences. Proactive problem solver with high initiative. Ability to manage multiple priorities and work effectively under pressure. Strong analytical mindset with the ability to make data-driven decisions. Note: The responsibilities and requirements listed above are indicative and may evolve to meet the dynamic needs of the business. Qualification : Bachelors or Masters degree in Computer Science, Data Science, Statistics, or related field. PhD is a plus

AI-ML Sr. Developer NO OF OPENINGS: 1 YEARS OF EXPERIENCE: 3+ years JOB DESCRIPTION: We are seeking a skilled Python AIML Developer with expertise in Django to join our team. The ideal candidate will have experience developing AI/ML models, integrating them with web applications, and deploying scalable solutions. You will work closely with cross-functional teams to design, develop, and implement AI-driven applications. ROLES & RESPONSIBILITIES: Develop, train, test, and optimize AI/ML models for real-world applications including classification, regression, and natural language processing (NLP). Integrate machine learning models into Django-based web applications. Work with TensorFlow, PyTorch, Scikit-learn, Hugging Face, ElasticSearch, Textract or similar libraries for AI/ML development. Design and implement APIs for model interaction using Django REST Framework (DRF). Optimize model performance and improve accuracy using feature engineering and hyperparameter tuning. Manage databases such as PostgreSQL, MySQL, or MongoDB to store AI-related data. Deploy machine learning models using Docker, Kubernetes, Azure, or cloud platforms (AWS, GCP, or Azure). Perform unit testing and debugging to ensure software reliability. Lead a team of engineers and provide technical leadership/mentorship. Collaborate with front-end developers, data engineers, and product managers to create seamless AI-driven applications. Stay updated with the latest AI/ML advancements and integrate them into projects. SKILLS SET & QUALIFICATION: Proficient in one or more of the following AI/ML development libraries: TensorFlow, Pytorch, Scikit-Learn, Hugging Face, or ElasticSearch, Textract, and similar libraries. Understanding of Natural Language Processing (NLP), Computer Vision, Deep Learning, and Predictive Analysis. Hands-on work experience with SQL and NoSQL databases. Knowledge about Docker, Kubernetes, CI/CD pipeline logic, Azure, and cloud services. A minimum of 3 years of experience required in AI technologies. Great communication skills.