🚀 We're Hiring: Java Lead (10–12 Years Experience) 📍 Location: Thane West (Onsite) Are you passionate about Java , microservices , and leading innovative tech initiatives? nStore is looking for a dynamic Java Lead to join our growing team! Tech Stack: Java, Spring Boot, Microservices REST APIs Leadership & Architecture Skills Why Join nStore? ✅ Work on cutting-edge projects ✅ Collaborative & innovative work culture ✅ Clear career growth path ✅ Competitive compensation 📩 Apply or Refer Now: Reach out at [7845758190] or email us at [ramya.e@nstore.in] Let’s build the future— together . #JavaLead #NowHiring #TechLeadership #JavaDeveloper #Microservices #SpringBoot #ThaneJobs #nStoreHiring #TechJobs Show more Show less

Company Description nStore Retech Pvt. Ltd. pioneers inclusive commerce and is revolutionizing the retail sector with cutting-edge digital solutions. Specializing in enabling small merchants to thrive in a digital-first world, nStore is a leading aggregator on the Open Network for Digital Commerce (ONDC). Role Description This is a full-time on-site role for an Operations Manager located in Thane. The Operations Manager will be responsible for overseeing daily operations, managing logistics, optimizing processes, and ensuring efficiency in the operations of nStore Retech Pvt. Ltd. Qualifications Experience in operations management, logistics, and process optimization Strong leadership and decision-making skills Excellent organizational and time management skills Ability to work effectively in a fast-paced environment Knowledge of supply chain management and inventory control Excellent communication and interpersonal skills Bachelor's degree in Business Administration, Operations Management, or related field Experience in the retail or e-commerce industry is a plus Show more Show less

Job Title: Senior AI/ML Developer Experience: 8-10 Years Location: [Mumbai] Job Type: [Full-Time] Key Responsibilities:  Lead the design and development of machine learning models using Python, TensorFlow, and other AI/ML frameworks.  Build, train, and optimize machine learning models to improve business processes and outcomes.  Work with large datasets in distributed environments using PySpark, Hadoop, and HIVE.  Analyze and preprocess data, clean datasets, and implement feature engineering techniques.  Collaborate with data scientists, engineers, and product teams to deliver AI-powered solutions.  Conduct model analysis and performance evaluations, ensuring the accuracy and effectiveness of ML models.  Maintain and document machine learning workflows and processes in a collaborative environment.  Utilize Git for version control and JIRA for task management and project tracking.  Continuously monitor and improve model performance, ensuring scalability and efficiency.  Stay updated with the latest trends and advancements in AI/ML to enhance development capabilities. Skills and Qualifications:  8-10 years of experience in AI/ML development with a strong focus on model building and analysis.  Strong proficiency in Python for developing machine learning algorithms and solutions.  Experience with PySpark, Hadoop, and HIVE for working with large datasets in a distributed environment.  Hands-on experience with TensorFlow for deep learning model development and training.  Solid understanding of machine learning algorithms, techniques, and frameworks.  Experience with notebooks (e.g., Jupyter) for model development, analysis, and experimentation.  Strong skills in model evaluation, performance tuning, and optimization.  Proficiency with Git for version control and JIRA for project management.  Excellent problem-solving skills and attention to detail.  Strong communication skills and ability to collaborate with cross-functional teams. Preferred Qualifications:  Experience with cloud platforms (AWS, Azure, GCP) for machine learning deployment.  Knowledge of additional AI/ML frameworks such as Keras, Scikit-learn, or PyTorch.  Familiarity with CI/CD pipelines and DevOps practices for machine learning.  Experience with data visualization tools and libraries (e.g., Matplotlib, Seaborn).  Background in statistical analysis and data mining.