Assistant Jobs in Jaipur
4 Jobs Found
Assistant Sales Manager
Sarvika Technologies
Job Title: Assistant Sales Manager Location: Jaipur, Rajasthan Employment Type: Full-Time Experience Required: 3 6 Years Open Positions: 1 Position Overview: We are looking for a driven and results-oriented Assistant Sales Manager with proven experience in both domestic and international sales. The ideal candidate will be responsible for managing client accounts, executing global sales strategies, and coordinating with internal teams to drive revenue growth. This role requires strong communication skills, cross-cultural awareness, and the ability to handle complex sales processes across geographies. Key Responsibilities: Sales & Client Management Support the execution of sales strategies for domestic and international markets Identify and convert prospective clients across global regions Manage complete sales cycles from lead generation and presentations to negotiations and deal closures Build and nurture long-term relationships with clients and international channel partners Ensure all international deals comply with pricing structures, trade regulations, and documentation standards Team Coordination & Support Mentor and guide junior sales team members in managing global accounts Train team members on international sales practices and cross-cultural business etiquette Collaborate with marketing on region-specific campaigns and lead generation efforts Reporting & Market Intelligence Analyze global market trends and competitor activity in key target regions Generate detailed sales reports and provide strategic insights Coordinate with internal teams to ensure smooth deal execution and delivery Key Responsibility Areas & KPIs: Responsibility Area Performance Indicator International Client Acquisition New accounts added, revenue generated Proposal Development & Negotiation Proposal win rate, average deal value, contract turnaround time Team Development & Training Team performance growth, global sales skills improvement Customer Relationship Management Client satisfaction, retention, and repeat business rates Sales Reporting & Market Intelligence Accuracy and relevance of insights on international sales trends Cross-Functional Coordination Timely execution of deals, compliance with global trade practices Required Skills & Competencies: 3+ years of experience in international sales and client engagement Fluent in English; additional foreign language proficiency is a plus Proven expertise in B2B/B2C international sales cycles Solid understanding of global trade, pricing models, and cross-border documentation Ability to adapt to diverse cultural settings and work across time zones Proficiency with CRM platforms (e.g., HubSpot, Salesforce) and sales tools (LinkedIn Sales Navigator, Apollo.io, etc.) Strong interpersonal, organizational, and presentation skills Job Category: Sales / International Business Development Job Location: Jaipur, Rajasthan Job Type: Full-Time
Assistant Manager/Deputy Manager - Store Operations
Normet
AM/DM - Store Operations Location: Jaipur Employment Type: Full-Time About Normet Normet is a global leader in providing innovative solutions for the mining, tunneling, and construction industries. Our mission is to enhance project safety, reduce environmental impact, and improve productivity. We provide premium equipment, comprehensive aftermarket services, and high-quality chemicals and rock support to our customers. Operating in over 30 countries with more than 1,800 experts, Normet is committed to a culture built on our core values of Caring, Committed, and Courageous. At Normet, we foster talent and offer an environment where you can thrive. Role Overview As an Assistant Manager/Deputy Manager (AM/DM) - Store Operations, you will manage and optimize the warehouse operations, ensuring the efficient handling, storage, and movement of goods. You will be responsible for maintaining inventory accuracy, controlling costs, and ensuring that the warehouse operations align with company policies, safety standards, and production targets. Your role will involve strategic planning to optimize space utilization, improve operational efficiency, and oversee continuous improvement efforts. Key Responsibilities Warehouse Management: Oversee the day-to-day operations of the warehouse, including the coordination of internal movement of goods and ensuring inventory accuracy. Internal Logistics: Manage internal logistics operations in compliance with factory policies, procedures, and safety standards. Space Optimization: Optimize warehouse layout and space utilization to ensure efficient storage, easy accessibility, and reduced handling times. Policy and Procedure Development: Collaborate with internal stakeholders to develop and implement operational policies and procedures that support production targets, safety, and quality standards. Inventory Management: Monitor and manage stock levels to ensure sufficient inventory to meet internal demands, conducting regular inventory audits, and reconciling discrepancies. Budget Management: Oversee the warehouse budget, control costs related to storage, handling, and transportation of goods, and identify areas for cost savings while maintaining high service levels. Technology and Equipment Evaluation: Evaluate potential investments in technology, equipment, and systems to enhance operational capabilities and improve efficiency. Continuous Learning: Foster a culture of continuous learning, development, and improvement within the team, challenging employees to enhance key competencies and operational performance. Compliance and Legal Requirements: Ensure compliance with government policies and legal requirements related to warehousing and logistics operations. Required Skills & Qualifications Education Graduate with a Diploma in Material Management or a B.Tech. in Mechanical / Industrial Engineering. Experience Minimum of 6+ years of experience in warehouse and internal logistics operations, with at least 2 years in a leadership or supervisory role. Functional Expertise Proven experience in warehousing and internal logistics operations. Strong understanding of compliance with government policies and legal requirements related to logistics and warehousing. Ability to develop and implement effective strategic plans, solve problems, and make decisions that optimize operations. Experience in managing inventory control, stock audits, and reconciliation. ERP Experience: Prior experience working in an ERP environment; Microsoft Dynamics is preferred. Technical Skills: Proficient in MS Office (Word, Excel, PowerPoint) for reporting, analysis, and planning. Strategic & Leadership Skills Strategic Thinking & Problem Solving: Strong strategic thinking, problem-solving, and decision-making skills to improve operational efficiency and resolve logistical challenges. Leadership & Development: Ability to lead a team, motivate employees, and focus on continuous learning and skill development. Support for Success in This Role Operational Excellence: Ability to optimize warehouse operations, improve inventory management, and implement cost-saving initiatives. Collaboration: Work effectively with internal teams, external partners, and stakeholders to ensure smooth logistics operations. Process Improvement: A proactive approach to process improvement and the ability to challenge the status quo to achieve better results. Compliance: Ensure that all operations align with internal standards, policies, and legal regulations. Self-Driven: Take initiative to drive change and continuously improve both personal and team performance. Communication Skills: Strong communication and interpersonal skills, with the ability to present ideas and solutions clearly to different stakeholders. Career Growth: Opportunities to develop your skills and advance within a global technology leader. Collaborative Environment: Work within a dynamic, international team where innovation and teamwork are highly valued. Impactful Work: Be part of a company that is revolutionizing the mining, tunneling, and construction industries, making a difference in global projects. If you are a motivated, detail-oriented logistics professional with a passion for optimizing warehouse operations and driving operational excellence, we encourage you to apply and be a part of Normet s continued success. Qualification : Graduate with a Diploma in Material Management or a B.Tech. in Mechanical / Industrial Engineering
Sr. Data Scientist
Cimet
Position: Senior Data Scientist Location: Jaipur Job Type: Full-Time Experience: 3 7 Years Qualifications: BCA, MCA, B.Tech, or any technical graduation About CIMET CIMET is a leader in comparison software, providing end-to-end online solutions for comparing and signing up for energy, telecommunications, credit cards, and other financial products in both B2B and B2C environments. With over 40 utility and financial service providers and 200+ partners, CIMET continues to disrupt the Australian comparison market through its integrated technology platform. Following a strategic partnership with iSelect, which acquired a 49% stake in 2022, CIMET is rapidly expanding into new product verticals such as home loans, car loans, personal loans, and various insurance categories. With a global team across Australia, India, and the Philippines, CIMET is positioned to double in size over the next two years. Role Overview We are seeking a highly skilled and forward-thinking Senior Data Scientist to lead cutting-edge AI/ML initiatives. You ll work on Recommendation Engines, Chatbots, Generative AI, and Large Language Models (LLMs) to deliver real-world, scalable solutions that directly impact product performance and customer engagement. This role requires strong technical expertise, innovation, and the ability to collaborate across engineering, product, and business teams. Key Responsibilities Design and deploy Recommendation Systems using collaborative filtering, matrix factorization, and content-based filtering. Build intelligent Chatbots and virtual assistants with NLP capabilities for automated customer interaction. Develop Generative AI models for content creation, automation, and intelligent business processes. Research and implement Large Language Models (LLMs) such as GPT, BERT, T5 for domain-specific applications. Collaborate with engineering teams to integrate AI/ML models into production-ready systems. Perform data exploration, preprocessing, and feature engineering on large structured and unstructured datasets. Stay abreast of emerging technologies and contribute new ideas for innovation and process improvement. Mentor junior team members, promote best practices, and lead by example in AI/ML project execution. Translate business requirements into machine learning solutions in collaboration with product and business teams. Ensure ethical AI practices and implement explainability and bias-mitigation strategies. Required Skills & Qualifications 5+ years of experience in Data Science or Machine Learning roles. Hands-on experience building and deploying Recommendation Engines at scale. Proven expertise in NLP and Conversational AI (chatbots, virtual assistants). Deep knowledge of Generative AI models including Transformers and GANs. Proficiency with Large Language Models (e.g., GPT, BERT, T5, etc.). Strong command of Python and ML libraries like TensorFlow, PyTorch, Scikit-learn, Hugging Face, NLTK, NumPy, Pandas. Experience working with cloud platforms (AWS, GCP, or Azure) for ML model deployment. Solid experience with data pipelines, ETL processes, and querying large datasets using SQL/NoSQL. Familiarity with MLOps tools and workflows for deploying and monitoring ML models in production. Strong mathematical and statistical foundation in model development and evaluation. Preferred Qualifications Experience with Reinforcement Learning and personalization in recommendation systems. Understanding of ethical AI, fairness, and bias detection techniques. Prior exposure to A/B testing, experimentation frameworks, and AI performance monitoring. Experience mentoring junior data scientists and leading cross-functional AI/ML projects. Strong communication skills and ability to explain technical concepts to non-technical stakeholders. Work on impactful, large-scale AI projects in a fast-scaling tech company. Collaborate with a global team of talented engineers, data scientists, and product leaders. Be part of an innovation-driven environment leveraging the latest in AI, LLMs, and cloud technologies. Competitive compensation and continuous learning opportunities in advanced data science fields. Qualification : BCA, MCA, B.Tech, or any technical graduation
HR Intern
Techno Derivation Pvt. Ltd
Job Title: HR Intern Location: Jaipur Employment Type: Internship | On-site | Full-time About the Internship: We are looking for an enthusiastic and organized HR Intern to support our Human Resources team in Jaipur. This internship offers practical exposure to various HR functions and processes within a dynamic work environment. Internship Responsibilities: Assist in recruitment activities including job posting, resume screening, and scheduling interviews Support onboarding and orientation processes for new hires Maintain and update employee records and HR databases Help organize training sessions, employee engagement activities, and events Assist with payroll and attendance tracking Support HR documentation and compliance tasks Participate in employee communication and feedback initiatives Qualifications: Currently pursuing a degree in Human Resources, Business Administration, Psychology, or related field Strong organizational and multitasking skills Good communication and interpersonal abilities Proficient in MS Office (Word, Excel, PowerPoint) Eagerness to learn and contribute in a team-oriented environment Basic understanding of HR principles is a plus What You ll Gain: Hands-on experience in various HR functions and processes Exposure to real-world organizational culture and employee management Mentorship from experienced HR professionals Certificate of completion and potential future opportunities based on performance Qualification : Currently pursuing a degree in Human Resources, Business Administration, Psychology, or related field
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