Jobs at WINIT
Company Name: WINIT (WINIT Mobile Sales Force Automation)
Qualification: Any Graduate
Work Experience: Fresher / 0–1 Year
Job Summary
We are looking for a motivated and detail-oriented Support Executive to join our support team. The role involves assisting customers and internal teams with application-related queries, issue tracking, documentation, and coordination with technical teams for timely resolution.
This position is ideal for fresh graduates who are interested in building a career in IT Application Support / Customer Support and gaining hands-on experience in a software product environment.
Key Responsibilities
- Provide first-level support to customers and internal users for application-related queries and issues.
- Receive, understand, document, and track customer-reported issues and requests.
- Log and update support tickets in tools such as JIRA or other ticketing systems.
- Coordinate with QA, Development, Product, and other internal teams for issue resolution.
- Follow up on reported issues and ensure timely communication and closure.
- Understand application workflows and assist users with basic functional queries.
- Perform basic troubleshooting and identify the nature and priority of reported issues.
- Maintain accurate records of support tickets, issue status, resolutions, and follow-ups.
- Prepare and maintain support reports, trackers, and documentation.
- Assist in release-related activities and communicate relevant updates to customers/users.
- Follow established support processes, SLAs, quality standards, and internal guidelines.
- Assist with Spanish translation of documents, emails, support communications, and basic customer interactions when required.
- Escalate complex technical or functional issues to the appropriate internal teams.
- Maintain professional and effective communication with customers and internal stakeholders.
Skills & Qualifications
- Bachelor’s degree in any discipline; graduates from Computer Science, IT, or related fields will be preferred.
- 0–1 year of experience; freshers are welcome to apply.
- Basic understanding of software applications and IT environments.
- Basic knowledge of SDLC and software support processes is an advantage.
- Familiarity with JIRA, Excel, or ticketing/support tools is an advantage.
- Good analytical and problem-solving skills.
- Strong attention to detail and ability to follow up on issues.
- Excellent verbal and written communication skills.
- Proficiency in Spanish (reading and writing); ability to support translation is preferred.
- Ability to coordinate effectively with customers and cross-functional teams.
- Willingness to learn new applications, processes, and technologies.
- Ability to work in a team-oriented and customer-focused environment.
About WINIT
WINIT is an mSFA technology company with over 25+ years of industry expertise and more than 600 success stories across mobility, digitization, and consulting. Today, WINIT is a leading mSFA provider, trusted by 75+ enterprises globally.
Our state-of-the-art support center provides 24x7 support to customers worldwide. We continuously help organizations improve their efficiency, effectiveness, market reach, brand recognition, distribution and logistics, regulatory compliance, planogram compliance, and other critical business processes through our cutting-edge WINIT mSFA application.
WINIT is committed to enabling customers to become more autonomous through continuous R&D and innovation. Our application incorporates machine learning capabilities, enabling organizations to innovate, achieve sustainable growth, and become more resilient.
At WINIT, we value diversity, continuous learning, and personal and professional growth. Our global team of passionate professionals works together to develop innovative technology solutions that address real-world business challenges.
Job Summary:
We are looking for a skilled Data Scientist with strong expertise in demand forecasting, predictive analytics, and emerging Generative AI technologies. The ideal candidate should have hands-on experience in machine learning, deep learning, NLP, and LLM-based solutions, along with proficiency in Python, SQL, Power BI, and advanced Excel. This role involves building scalable forecasting models and leveraging AI/GenAI to deliver actionable business insights.
Key Responsibilities:
- Develop and deploy demand forecasting models using machine learning and deep learning techniques.
- Analyze historical data to identify trends, seasonality, and demand patterns.
- Build predictive models to improve supply chain and inventory planning.
- Work with large datasets using Python and SQL for data extraction, transformation, and analysis.
- Design dashboards and reports using Power BI for business stakeholders.
- Utilize advanced Excel techniques (Pivot Tables, Power Query, formulas) for analysis and reporting.
- Build and integrate NLP-based solutions for text data analysis and insights.
- Develop and implement LLM-based applications using Generative AI frameworks.
- Design and deploy RAG (Retrieval-Augmented Generation) pipelines for intelligent data retrieval and response generation.
- Collaborate with cross-functional teams (operations, finance, product) to align forecasting and AI solutions.
- Continuously improve model accuracy and performance through experimentation and optimization.
Required Skills:
- Strong proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch).
- Solid understanding of machine learning & deep learning algorithms.
- Experience in demand forecasting / time-series analysis (ARIMA, Prophet, LSTM, etc.).
- Hands-on experience with NLP techniques and libraries (NLTK, SpaCy, Transformers).
- Experience working with LLMs and Generative AI frameworks (OpenAI, Hugging Face, LangChain, etc.).
- Strong understanding of RAG architectures and vector databases (FAISS, Pinecone, etc.).
- Advanced knowledge of SQL for data manipulation.
- Hands-on experience with Power BI for visualization and reporting.
- Expertise in advanced Excel (Power Query, dashboards, data modeling).
- Strong analytical and problem-solving skills.
Preferred Qualifications:
- Experience in supply chain, logistics, or e-commerce forecasting.
- Knowledge of cloud platforms (AWS, Azure, or GCP).
- Familiarity with data pipelines and ETL processes.
- Understanding of business metrics and KPIs related to demand planning.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Company Name: WINIT
Location: Hyderabad
Experience: 0–2 Years
Role Overview
We are looking for a talented AI/ML Trainee to build intelligent automation solutions for Legal Process Outsourcing (LPO). The role involves leveraging Python, SQL, AWS, and Generative AI (LangChain, LLMs, RAG) to automate document-heavy workflows such as contract analysis, data extraction, and legal document processing.
Key Responsibilities
- Develop and deploy AI/ML models for legal document processing and automation.
- Build Python-based pipelines for data processing, automation, and model integration.
- Design and optimize SQL queries for efficient data management and reporting.
- Work with AWS services (S3, Lambda, EC2, Bedrock, etc.) for scalable deployments.
- Develop Generative AI solutions using:
- LangChain
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- Implement document intelligence solutions (classification, summarization, entity extraction).
- Integrate AI models into business applications via APIs.
- Collaborate with cross-functional teams to understand automation needs.
- Ensure model performance, scalability, and data security.
Required Skills
- Strong proficiency in Python
- Good knowledge of SQL.
- Understanding of machine learning fundamentals.
- Hands-on or conceptual knowledge of:
- LangChain
- LLMs
- RAG architectures
- Familiarity with AWS cloud platform.
- Basic understanding of NLP / text processing.
About WINIT
For more information, please visit: www.winitsoftware.com
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