Supervised AND Unsupervised Learning Jobs in Gurgaon

Job Title: AI/ML Team Lead Location: Gurgaon Job Family: Research and Development Employment Type: Full-Time Category: Engineering & Technical About CNH Industrial Innovation. Sustainability. Productivity. CNH Industrial is committed to advancing the vital work of farmers and builders worldwide. Our cutting-edge solutions from alternative power sources to precision technology drive productivity while caring for our planet. Join a collaborative global team passionate about innovation and customer success. Job Purpose Lead the design, development, and deployment of advanced AI/ML and Generative AI solutions to drive innovation and business value. Act as the technical and strategic leader shaping AI initiatives, ensuring scalable and ethical architectures aligned with business goals. Manage cross-functional collaboration and communicate complex concepts clearly to drive adoption. Experience in both POCs and production-grade AI solutions is essential. Key Responsibilities Generative AI Leadership Architect and deploy GenAI solutions such as chatbots, intelligent document processing, code generation, content summarization, and personalization. Customize and fine-tune foundation models (GPT, LLaMA, Claude, Mistral) for domain-specific applications. Evaluate and integrate GenAI frameworks (LangChain, Semantic Kernel, LlamaIndex, Transformers). Implement prompt engineering and retrieval-augmented generation (RAG) pipelines at scale. Technical Strategy & Execution Define and execute a Generative AI roadmap aligned with business goals. Collaborate with product, engineering, and business teams to prioritize AI use cases. Lead POCs and pilots validating AI ideas before scaling. Ensure secure, ethical, and governed deployment of AI systems. Team Leadership & Mentorship Lead, mentor, and grow a team of AI/ML engineers and researchers. Establish best practices in model development, experimentation, and deployment. Foster a culture of continuous innovation and learning in GenAI. Platform & Infrastructure (Azure Focus) Deploy and operationalize models on cloud platforms, especially Azure AI services (OpenAI on Azure, Azure ML, Azure Cognitive Search). Manage GenAI infrastructure including vector databases, inference endpoints, and GPU resources for performance and cost-efficiency. Utilize MLOps practices for lifecycle management and reproducibility. Experience Required 8+ years in AI/ML roles with 2+ years focused on Generative AI. Proven hands-on experience with foundation models (GPT-4, Claude, LLaMA) and tooling ecosystems. Proficient in Python and AI/ML libraries such as PyTorch and Hugging Face Transformers. Deep knowledge of prompt engineering, RAG, LLMOps, and model fine-tuning. Experience with vector databases like FAISS, Pinecone, Weaviate, or Azure AI Search. Familiarity with enterprise AI integration via APIs, plugins, and cloud deployment. Preferred Qualifications Bachelor s, Master s, or PhD in Computer Science, Machine Learning, AI, or related fields. Dynamic international career opportunities. Inclusive culture committed to respect and equality. Flexible work arrangements. Savings & retirement benefits. Tuition reimbursement. Parental leave, adoption assistance, fertility & family-building support. Employee Assistance Programs. Charitable contribution matching and Volunteer Time Off. Grow your career with CNH Industrial innovate for a sustainable future and help build better lives.

Prompt Engineer (Software Engineer) Analyst Location: Gurgaon, India (On-site) Function: Content Engineering Experience: 0-1 years About GlobalLogic GlobalLogic, a Hitachi Group Company, is a leading digital engineering partner to some of the world s largest and most innovative companies. Since 2000, we have driven the digital revolution, creating cutting-edge digital products and experiences that transform businesses and industries globally. At GlobalLogic, we prioritize a culture of caring, continuous learning, and balance, fostering an environment where creativity and innovation thrive. Role Overview As a Prompt Engineer, you will focus on designing, developing, and optimizing prompts for natural language understanding systems, especially conversational AI and chatbots. This role requires a strong foundation in Python, data science, and natural language processing, combined with hands-on experience in prompt engineering, deep learning models, and relevant AI frameworks. Key Responsibilities Design and develop effective prompts for conversational AI and NLU systems. Collaborate with engineers and data scientists to integrate and refine prompts. Analyze user behavior and model outputs to enhance prompt quality and response accuracy. Optimize algorithms to improve prompt generation efficiency and effectiveness. Continuously update knowledge on NLP advancements and apply innovative techniques. Test and evaluate prompts for quality, relevance, and user experience improvement. Work cross-functionally to ensure seamless integration of prompts into products. Identify and resolve prompt-related challenges to boost conversational AI performance. Qualifications Bachelor s degree in Artificial Intelligence, Machine Learning, or related field (B.Tech freshers welcome). Strong programming skills in Python and experience with databases and data science methodologies. Proven knowledge of NLP, prompt engineering, and conversational AI or chatbot systems. Familiarity with deep learning concepts including transformers, GANs, VAEs, and large language models (LLMs). Proficiency with AI frameworks such as TensorFlow, PyTorch, and spaCy. Ready to work on-site with rotational shifts (5 working days, 2 weekly offs). Immediate joining preferred. Inclusive, caring culture fostering acceptance and collaboration. Robust learning and development opportunities to accelerate your career growth. Meaningful work on innovative projects shaping the future of AI and digital experiences. Work-life balance with flexible arrangements and supportive policies. A high-trust, ethical organization valuing integrity and transparency. Qualification : Bachelors degree in Artificial Intelligence, Machine Learning, or related field

Job Title: Computer Vision Researcher Diffusion Models (Generative AI) Location: Gurugram, India | Work Mode: Full-Time, Onsite (5 Days/Week) Experience: 2+ Years in Generative AI & Computer Vision Who We Are Driving the Future of Automotive AI At Spyne, we re revolutionizing how cars are marketed and sold through cutting-edge Generative AI. What began as a bold idea to automate automotive photography has evolved into a full-stack AI ecosystem that helps dealerships sell faster, smarter, and more visually. Backed by $16M Series A funding (Vertex Ventures, Accel, and more) Expanded into US & EU markets Launched industry-first AI-powered 360 imaging solutions 5x revenue growth in 15 months, targeting 3 4x more this year Pioneering GenAI-powered sourcing, pricing, and CRM for global dealerships Role Overview: Computer Vision Engineer Diffusion Models We re hiring a Computer Vision Researcher with deep expertise in Diffusion Models and Generative AI to push the boundaries of image generation, model fine-tuning, and real-world AI deployment. This is a hands-on research and development role where you will be working with state-of-the-art techniques like Stable Diffusion, ControlNet, and Hypernetworks to build powerful production-ready AI models. Key Responsibilities Fine-Tune Diffusion Models: Optimize diffusion-based architectures for enhanced image quality, realism, and controllability. Prompt Engineering & Output Control: Refine prompt-to-image pipelines using custom prompt engineering strategies. Image Quality Enhancement: Design post-processing and ranking systems to boost visual aesthetics and accuracy. Integrate Advanced AI Models: Combine diffusion models with GANs, Transformers, and other architectures to improve creative outputs. Production-Grade Deployment: Deploy models in scalable environments using Docker, Kubernetes, and cloud services. Cross-Functional Collaboration: Work with researchers, MLOps, and product teams to bring GenAI capabilities into customer-facing platforms. Innovate Continuously: Stay at the forefront of academic and applied AI trends to bring new ideas into Spyne s AI product stack. Ideal Candidate Profile Education & Background B.Tech / M.Tech / MS in Computer Science, AI, Data Science, or a related field 2+ years of experience in Computer Vision, Diffusion Models, and Generative AI Technical Expertise Strong understanding of diffusion models like Stable Diffusion and Denoising Diffusion Probabilistic Models (DDPMs) Hands-on experience with ControlNet, Hypernetworks, LoRA, or similar architectures Proficient in prompt engineering and guided image generation techniques Solid foundation in image processing, deep learning, and model optimization Experience with production AI deployment, including cloud infrastructure, CI/CD, and containerization tools (Docker, Kubernetes) Programming in Python, with experience using PyTorch, TensorFlow, and relevant libraries Soft Skills & Mindset Strong analytical and debugging skills able to troubleshoot models in research and production Excellent communication able to present complex ideas simply A team-first mindset collaborative, adaptable, and ownership-driven Comfortable in a fast-paced, office-first environment focused on innovation and rapid development At Spyne, we build careers, not just roles in an innovation-first, people-centric culture. Employee Benefits & Perks Comprehensive Health & Life Insurance Full coverage for employees and dependents (GMC, GPA, GTLI) Performance-Driven Growth Merit-based career path and ownership opportunities from Day 1 Learning & Development Access to LinkedIn Learning, internal mentorship, and real-world AI challenges Office-First Culture Real-time collaboration, hands-on problem-solving, and innovation that happens faster in person Equity for Top Talent Competitive salary with stock options for high performers If you re a Computer Vision expert passionate about diffusion models, AI research, and bringing GenAI to production, Spyne offers you the platform to build, lead, and grow in one of the fastest-growing AI verticals in the world. Apply Now to be part of Spyne s GenAI journey! Qualification : B.Tech / M.Tech / MS in Computer Science, AI, Data Science, or a related field

Job Title: Product Manager (LLMs & AI) Location: Gurgaon, Haryana Experience: 3-7 years Department: Product Management Employment Type: Full-Time About Spyne At Spyne, we are redefining how cars are marketed and sold with cutting-edge Generative AI. What started as a bold idea using AI-powered visuals to help dealers sell online faster has grown into a full-fledged AI-first automotive retail ecosystem. Backed by $16M in Series A funding from Vertex Ventures, Accel, and other top investors, we are scaling rapidly: Expanded across US & EU markets. Launched industry-first AI-powered Image & 360 solutions. Achieved 5X revenue growth in 15 months, with a goal for 3-4X growth this year. We are now rolling out an end-to-end GenAI Automotive Retail Suite and expanding into the US market to bring our AI-driven products to 3,000-4,000 dealers. What We Are Looking For We are looking for an experienced Product Manager to lead the development of Large Language Model (LLM)-powered applications and AI agents. This role will focus on harnessing the power of LLMs (e.g., OpenAI s GPT, Claude, or similar models) to create advanced, context-aware conversational agents and automation systems. As a Product Manager (LLMs & AI), you will work on defining and delivering AI solutions that transform the user experience, streamline processes, and unlock new business opportunities for Automotive dealers and buyers. This is a critical role in shaping Spyne s product strategy, translating user needs into AI-driven solutions, and collaborating with cross-functional teams to deliver innovative, AI-powered products. Product Strategy & Vision: Define and execute the roadmap for LLM-powered applications and AI agents, aligning with market trends and user needs. AI Innovation: Explore cutting-edge applications like chatbots, decision-support systems, and automation tools. Research & Experimentation: Collaborate with engineers and data scientists to fine-tune and deploy LLMs for real-world use cases. AI Advancements: Stay updated on emerging capabilities like multi-turn dialogue, in-context learning, and fine-tuning techniques. AI Agent Development: Build context-aware AI agents that integrate seamlessly into user workflows. Automation Solutions: Develop AI-driven tools for automating tasks like email responses, scheduling, and data extraction. User Experience & Adoption: Convert user pain points into intuitive AI-driven solutions with explainable outputs. Seamless AI-Human Interaction: Ensure smooth AI adoption by refining user interfaces and interactions. Cross-Functional Collaboration: Work closely with Engineering, Data Science, and Design teams to prototype and scale LLM-based features. AI Market Positioning: Collaborate with Sales and Customer Success teams to position AI capabilities as a key differentiator. Performance Metrics: Define and track KPIs such as accuracy, response time, and user engagement. Continuous Optimization: Enhance AI model efficiency and user satisfaction through iterative improvements. What You Must Have 1 3 years of product management experience in AI, SaaS, or data-driven products. Proven experience building or scaling LLM-powered applications (e.g., GPT, Claude). Strong familiarity with fine-tuning, prompt engineering, context management, and model evaluation. Ability to communicate AI concepts to non-technical stakeholders. Hands-on experience with Figma, Jira, and LLM APIs (OpenAI, Anthropic, Hugging Face). Data-driven mindset with a strong grasp of AI product metrics. Thrive in fast-paced, ambiguous environments. Strong Culture: A supportive and collaborative work environment that encourages innovation. Transparency & Trust: High levels of autonomy and trust in decision-making. Competitive Salary & Equity: Stock options for top performers. Health Insurance: Comprehensive coverage for employees and their dependents, including GMC, GPA, and GTLI coverage. Dynamic Growth Environment: Join a fast-paced, high-growth setting that will accelerate your professional development. Shape the Future of AI-Powered Automotive Retail If you're passionate about AI and want to play a key role in transforming the automotive retail experience, join Spyne and help us define the future of AI-powered automotive retail!

Job Description: Training Manager Responsibilities and Desired Skills: Lead a Team of Trainers, Coaches, and Team Leaders to enable training delivery. Track record in designing and executing successful training programs. Familiarity with traditional and modern training methods (mentoring, coaching, on-the-job or in classroom training, e-learning, workshops, simulations, etc.). Work with respective Trainers to create a robust TNI (Training Needs Identification) / Refresher plan to improve agent performance within classroom training and live environment. Excellent communication and leadership skills. Ability to plan, multi-task, and manage time effectively. Strong writing and record-keeping ability for reports and training manuals. Skills Required: People Management. Excellent verbal, written, and interpersonal communication skills. Proficiency with Microsoft Office (intermediate PowerPoint, basic Excel). Outstanding customer service skills and dedication to providing exceptional customer care. Ability to multitask and successfully operate in a fast-paced, team environment. Extensive experience working in Training Management. Experience: Total Experience: 5+ Years Team Handling Experience: 2+ Years BPO Industry experience will be an added advantage. Working Days: 6 Days Working Education: Graduate

Job Title: Associate Data Scientist - Social Media Analytics About this Role: Join Gartner s Social Media Analytics team, where you will help generate actionable insights from social media and internal/external Gartner data. This role is perfect for someone passionate about learning new technologies, text analytics, and working with unstructured data. As an Associate Data Scientist, you'll analyze data, draw recommendations, and visualize insights for research, using NLP, Machine Learning, and Deep Learning techniques. You will work closely with stakeholders to optimize data mining and improve the accuracy of insights generated. What You ll Do: Execute High-Impact Data Science Projects: Translate research objectives into actionable data and facts using social media and Gartner's internal/external data. Ad-hoc Modeling and Analytical Insights: Provide modeling and analytical insights to inform strategic and operational initiatives. Analyze Unstructured Data: Use advanced data science techniques to analyze unstructured text data, identifying insights and patterns. Interpret and Apply Findings: Align findings with business objectives and translate them into actionable business insights. Solve Business Challenges: Leverage Data Science, ML, and NLP to address pressing business challenges. Stakeholder Interaction: Collaborate with internal and external stakeholders to refine and improve findings. Data Science Driven Initiatives: Drive initiatives with some guidance while building strong domain expertise. Multi-tasking & Agility: Handle different projects in a fast-paced environment with strict SLAs and tight turnaround times. What You ll Need: Education: A fresher with a Master's in Engineering, Computer Science, Computer Applications, Statistics, Mathematics, Applied Mathematics, or Data Science. Alternatively, a B.E./B.Tech + Masters in Advanced Analytics or Data Science. Experience: 1-3 years of hands-on AI/ML experience, especially in Text Mining, NLP, and text analytics. Technical Skills: Expertise in Python (Pandas, Numpy, scikit-learn), SQL, TensorFlow, and other data science tools. Familiarity with AWS/Azure environments for training, testing, or deploying models. Machine Learning & NLP Knowledge: Ability to train, fine-tune, or apply ML, Deep Learning, LLMs, and NLP models. In-depth knowledge of NLP concepts and application experience. Data Preparation Skills: Expertise in data cleaning, normalization, and preparation for model training or inference. Analytical Mindset: Strong ability to identify patterns in unstructured datasets and provide actionable insights. Communication Skills: Strong written and verbal communication with the ability to structure clear, concise, and meaningful communication. Critical Thinking & Problem-Solving: Strong analytical skills and the ability to think independently to solve complex problems. Eagerness to Learn: A passion for learning about new technologies in the IT industry, Data Science, and Machine Learning. Research Techniques Understanding: Robust understanding of primary and secondary research methods. What We Offer: Flexible Hybrid Work Environment: Flexibility to work virtually when productive and meet colleagues in person for engaging, purposeful collaboration. Professional Growth: Gartner offers world-class benefits, competitive compensation, and tremendous rewards for top performers. Inclusive Work Culture: Diverse teams from various backgrounds and an environment that values collaboration and team success. Recognition as a Top Workplace: Gartner is consistently recognized as a great place to work worldwide. Join Gartner and contribute to world-class insights while developing cutting-edge technologies in the data science domain. We offer opportunities to grow, thrive, and make an impact! Qualification : A fresher with a Master's in Engineering, Computer Science, Computer Applications, Statistics, Mathematics, Applied Mathematics, or Data Science. Alternatively, a B.E./B.Tech + Masters in Advanced Analytics or Data Science.

Job Description: We are seeking a Data Engineer experience in data and analytics, proficient in big data technologies, data architecture, and customer-focused solutions. The ideal candidate will design and implement data pipelines, data lakes, and visualization solutions to create business value. Software Requirements: AWS Redshift Kubernetes Spark Python SQL DBT Dataiku Overall Responsibilities: Design and implement data pipelines, data lakes, and visualization solutions to create business value. Develop and maintain big data solutions using technologies like AWS Redshift, Kubernetes, Spark, Python, SQL, DBT, and Dataiku. Apply best practices in data architecture, modeling, and metadata management. Analyze and troubleshoot complex data issues, ensuring timely resolution. Collaborate with stakeholders to understand data requirements and deliver customer-focused solutions. Category-wise Technical Skills: Big Data Technologies: Proficiency in AWS Redshift, Kubernetes, Spark, Python, complex SQL, DBT, and Dataiku. Data Architecture & Modeling: Strong understanding of data architecture, modeling, and metadata management. Experience in designing and managing data pipelines and data lakes. Data Analysis & Troubleshooting: Excellent data analytical and troubleshooting skills. Ability to analyze and resolve complex data issues in a timely manner. Experience: 6-8 years of experience in data and analytics. Proven track record of developing and maintaining big data solutions. Day-to-Day Activity: Design, develop, and implement data pipelines and data lakes. Maintain and optimize big data solutions using various technologies. Apply best practices in data architecture and modeling. Analyze and troubleshoot data issues to ensure data integrity and availability. Collaborate with stakeholders to gather requirements and deliver data solutions. Stay updated with emerging trends in data and analytics. Qualifications: Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field. Relevant certifications in big data technologies and data engineering are a plus. Soft Skills: Strong analytical and problem-solving skills. Excellent communication and collaboration skills. Customer-focused approach with the ability to understand and meet stakeholder needs. Attention to detail and strong organizational skills. Ability to work independently and as part of a team. S YNECHRON S DIVERSITY & INCLUSION STATEMENT Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative Same Difference is committed to fostering an inclusive culture promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. Qualification : Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.

Job Title: Finance & Admin Business Analyst IBM Introduction As a Finance & Admin Business Analyst at IBM, you will play a crucial role in ensuring the profitable operations of one of the world's most recognized and respected technology companies. Your work will support IBM s continued innovation in Artificial Intelligence, Cloud Infrastructure, Cognitive Solutions, and Blockchain Technologies. If you thrive in a dynamic, collaborative workplace, IBM provides an environment where you will be challenged and inspired every day. If you enjoy solving complex financial challenges and bringing creative solutions to the table, there s no limit to what you can accomplish here. Your Role and Responsibilities As a Delivery Practitioner, you will be responsible for transaction processing in Accounts Payable and Accounts Receivable while ensuring compliance with IBM s financial standards. Key Responsibilities: Oversee General Ledger activities, including fixed assets, inter-company transactions, inventory, cash & bank, indirect tax, and accruals. Identify risks and opportunities related to revenue, costs, and profitability, and propose appropriate actions. Ensure compliance with client Service Level Agreements (SLAs) and maintain deadlines. Detect and resolve duplicate records and payment errors. Process vendor invoices efficiently and ensure accurate payments. Handle manual and automated payment requests, along with payment run verification. Manage Travel & Expense (T&E) claims, vendor statement reconciliations, and resolve duplicate payments. Provide support via calls and email follow-ups for financial queries. Required Technical and Professional Expertise 0-1 year of work experience in Finance & Accounting. Ability to handle order fulfillment, cash collection, and cash application. Strong skills in invoice verification, exception resolution, and reducing invoice aging. Knowledge of SOX compliance (e.g., document approvals before posting). Experience in expense management and payment processing. Ability to identify duplicate transactions and errors in financial records. Preferred Technical and Professional Expertise Proficiency in Microsoft Office (Excel, Word, Outlook) and familiarity with accounting terminologies. Experience handling queries via calls and emails. Ability to adapt to business transformations and follow standard procedures. A collaborative mindset with a problem-solving approach. Strong time management skills and ability to work under tight deadlines. Eagerness to learn and grow by attending educational workshops and industry training. Work in a collaborative and innovative environment. Gain hands-on experience with cutting-edge financial technologies. Build a career with continuous learning and development opportunities. Be part of a diverse and inclusive global workforce. At IBM, we value your unique skills and expertise. We encourage you to bring your best self to work and take your career to the next level!

Introduction We are a tech-driven company passionate about delivering exceptional customer experiences. Our team ensures seamless support, efficient logistics, and top-notch device management. Join us in a dynamic environment that values innovation, dedication, and proactive problem-solving. You will manage inventory, prepare devices, ensure accurate shipping and documentation, and provide technical support and repairs. Your ability to multitask, solve problems efficiently, and deliver exceptional service will drive operational success and customer satisfaction. Your Job Responsibilities Logistics Operations Handle incoming stock, maintain accurate records, and ensure proper storage. Assess, clean, and prepare devices for reuse or repair to ensure "out-of-the-box" quality. Pack items securely, label them for shipping, and maintain precise records of transactions. Conduct regular inventory checks to ensure accuracy and accountability. Quickly report missing, lost, or damaged items to supervisors. IT Support and Repairs Provide empathetic, personalized assistance via phone, email, and chat for device-related issues (e.g., laptops, smartphones). Diagnose and resolve technical problems efficiently, escalating complex issues when necessary. Perform hardware repairs, including replacing screens, batteries, and other components. Manage software installations, updates, and troubleshooting. Liaise with external vendors when necessary. Ensure all repairs meet company standards through rigorous testing. Identify recurring issues, update knowledge bases, and suggest device and application improvements. Work with colleagues to ensure consistent, high-quality user experiences and brainstorm solutions. Share user insights with product teams and participate in training to stay updated on product features and industry trends. Mobile Device Management (MDM) Demonstrate working knowledge of MDM solutions like Hexnode, Jamf, or similar tools. Configure, enroll, and manage devices through MDM platforms. Implement and manage security and compliance policies via MDM systems. Resolve device-specific issues related to MDM configurations. Skills, Knowledge, and Expertise Essential Skills Experience in logistics, inventory management, and IT support. Working knowledge of Mobile Device Management (MDM) solutions like Hexnode, Jamf, or similar platforms. Strong organizational skills and attention to detail. Knowledge of laptop hardware/software, remote troubleshooting, and device repair. Familiarity with shipping, receiving, and inventory tracking processes. Exceptional communication skills to guide users and explain technical concepts clearly. Ability to speak and communicate effectively in English and Hindi (additional languages are a bonus). Technical Proficiency Experience with Google Suite, CRM, and support ticketing systems. Familiarity with various operating systems (Windows, macOS, iOS, Android). Ability to create shipping labels, manage inventory, and perform cycle counts. Preferred Qualifications Certifications in technical support, logistics, or relevant technology areas. Certifications in Apple IT Support or Microsoft IT Support Specialist are desirable. Experience with device management tools like Apple Business Manager and MDM solutions like Hexnode or Jamf. Prior experience working at laptop/desktop repair centers, with experience in chip-level repairs. Personality Needs Accountable and responsible for support and regular operations. Diligent and detailed with case documentation. Ability to speak up and highlight gaps in the process. Resourceful and solution-focused. This combined role offers a unique opportunity to apply logistics expertise, MDM knowledge, and technical support skills in a fast-paced, customer-focused organization. If you re organized, tech-savvy, and dedicated to delivering outstanding service, we d love to hear from you! We re a people-first company where AI and innovation meet purpose. Guided by values of Openness, Enthusiasm, and Kindness, we invest in your growth and well-being, embracing flexibility, continuous learning, and inclusivity. Benefits: Remote work and flexibility: Customize your schedule. Comprehensive leave policy: 52 weekends, 40 days of consolidated leave, plus special leaves. Inclusive, supportive culture: Diversity and equal opportunities at the core. Medical insurance for you and your family. Professional coaching and mentorship opportunities.

Job Title: Revenue Finance Manager Location: Gurgaon, India Company: Builder.ai About Builder.ai At Builder.ai, we re making software development so easy, everyone can do it regardless of their tech skills or budget. We've empowered thousands of entrepreneurs and global giants like BBC, Makro, and Pepsi to bring their software ideas to life. And we re just getting started. Backed by $450M in funding, including a $250M Series D round and a strategic partnership with Microsoft, we re one of the fastest-growing AI tech companies globally. We were named one of Fast Company s Most Innovative Companies in AI (2023) and Europas Scaleup of the Year (2022). Life at Builder.ai Builder.ai isn t your average tech company. Here, experimentation is encouraged, innovation is expected, and learning never stops. You ll join a diverse, passionate, high-performance team that thrives on pushing boundaries and rewriting the rules of software development. We believe in Builder s HEARTT values: Heart, Entrepreneurship, Accountability, Respect, Trust, Transparency and most importantly, getting stuff done. As a Revenue Finance Manager, you'll be at the core of our financial operations driving accurate revenue recognition, leading strategic reporting, and enabling high-impact business decisions. You ll work across functions to manage our complex invoicing and revenue processes, support audits, and drive financial automation. This is a high-impact, high-visibility role ideal for someone who loves both strategy and execution, and who wants to play a foundational role in a fast-scaling finance function. Key Responsibilities Invoicing & Compliance Ensure invoicing aligns with contract terms across global regions. Partner with delivery, product, and customer teams for timely and accurate invoicing. Apply payments in systems like B360 and NetSuite. Revenue Recognition & Audit Support Understand and manage complexities like unbilled revenue, deferred revenue, and promotions accounting. Support external audits by preparing reconciliations and documentation. Automation & Optimization Lead automation of the payment application process. Identify red flags and revenue risks using data analytics. Drive adoption and optimization of NetSuite revenue modules. Month-End Close & Financial Control Assist with monthly/quarterly close activities. Prepare and account for credit notes as required. What You ll Bring Chartered Accountant (CA) qualification. 3 7 years of experience in revenue finance, invoicing, reconciliation, and ERP systems. In-depth understanding of revenue recognition standards (e.g., ASC 606 / IFRS 15). Hands-on experience with NetSuite or other major ERP platforms. Strong analytical mindset with experience in financial modeling, forecasting, and variance analysis. Excellent stakeholder management skills and attention to detail. What You ll Get Quarterly discretionary variable pay Stock options in a $450M Series D tech company 24 days annual leave + public holidays 2 Builder family days + Christmas-New Year time off Fully funded private medical insurance Free lunch at our state-of-the-art Gurugram office Generous referral bonus scheme Why You Should Join If you re a finance leader in the making who wants to go beyond the numbers, challenge yourself daily, and grow with a fast-paced, mission-driven company this is your chance to do it at scale. Apply now and take your career to the next level with Builder.ai. Qualification : Chartered Accountant (CA) qualification.

Job Title: Implementation Consultant Logistics SaaS | Gurgaon, Haryana Location: Gurgaon, Haryana Job Type: Full-time Industry: Logistics Technology | SaaS Company: Shipsy About Shipsy Shipsy is a global SaaS leader in logistics and supply chain automation, empowering enterprises with end-to-end solutions for transportation and warehousing optimization. Operating in a trillion-dollar industry that's still largely manual, our advanced logistics technology is transforming how businesses manage their supply chains reducing costs, improving delivery efficiency, and enhancing customer experience. Trusted by major global enterprises including Reliance, Domino s, Burger King, Landmark Group, UPS Gulf, and DTDC Express, Shipsy processes over 2 million shipments daily. In fact, nearly 10% of India s container trade is tracked through our platform. Backed by leading investors like Peak XV Partners, Info Edge, and A91 Partners, Shipsy has raised over $35 million and continues to grow with a global team of 280+ professionals across India, the Middle East, and Southeast Asia. Role Overview: Implementation Consultant As an Implementation Consultant at Shipsy, you will be a key driver in onboarding our enterprise clients and ensuring successful deployment of our logistics SaaS solutions. You will work closely with internal teams and client stakeholders to understand requirements, configure solutions, and ensure smooth implementation tailored to customer needs. This is a high-impact, client-facing role where your technical expertise, problem-solving ability, and communication skills will directly influence customer success and satisfaction. Key Responsibilities Lead end-to-end software implementation projects for new clients across various geographies. Collaborate with cross-functional teams including Product, Engineering, and Customer Success to deliver customized solutions. Gather and analyze client requirements, define project scopes, and ensure timely delivery. Conduct product training, system configuration, and UAT support for clients. Continuously monitor client progress and provide support during onboarding and transition. Identify areas for process improvement and contribute to solution enhancements. Bachelor s degree in Engineering, Computer Science, or related field. 2 5 years of experience in a client-facing role, preferably in SaaS implementation or logistics tech. Strong analytical and problem-solving skills. Excellent verbal and written communication skills. Ability to manage multiple projects in a fast-paced environment. Willingness to travel as needed for client engagements. Competitive Salary + Performance-Based Incentives Professional development opportunities and continuous learning support. Work alongside top talent from IITs, IIITs, NITs, and global research institutes. Collaborative and inclusive work culture with strong mentorship and growth focus. Unique employee benefits including a scholarship program and wellness initiatives. Grow With Us At Shipsy, we don t just build world-class logistics solutions we also build careers. Join a young, diverse, and energetic team that values innovation, collaboration, and making a real-world impact. Experience a vibrant culture that encourages ownership, learning, and having fun while doing meaningful work. Apply Now to be a part of Shipsy's journey to transform global logistics. Qualification : Bachelors degree in Engineering, Computer Science, or related field.

Senior Data Scientist | FinBox | Gurgaon Location: Gurgaon Experience: 6-8 Years About FinBox FinBox is a cutting-edge fintech company that is reshaping how financial services are provided to businesses and consumers. Since our launch in 2017, we ve developed some of the most innovative technologies in the financial services space, enabling lenders such as Banks, NBFCs, and large enterprises to create and launch credit products in just days. As a Series A-funded company, we are expanding globally with offices in India, Vietnam, Indonesia, and the Philippines. Our mission is to build the best-in-class infrastructure for lending products, helping financial services companies scale and launch credit programs that set new standards in the era of digital finance. We've helped our clients disburse billions of dollars in credit, covering a wide range of unsecured and secured products like personal loans, business loans, mortgages, and education loans. We ve made a significant impact, supporting over 100 companies and serving millions of customers every month. Why You Should Join FinBox: Innovative Environment: We foster a culture of creativity and experimentation, encouraging our team to push the boundaries of what s possible in fintech. Impactful Work: Your work will directly influence millions of lives by making credit more accessible to individuals and businesses. Growth Opportunities: As a Series A-funded startup, we offer numerous opportunities for professional development and career advancement. Collaborative Culture: Be part of a diverse, inclusive team of experts who are passionate about making a difference and supporting each other. Role Overview: As a Senior Data Scientist at FinBox, you will work at the intersection of data and business, helping to deliver impactful solutions in the lending space. You will be responsible for analyzing large datasets, extracting meaningful insights, and applying advanced data science techniques to improve products and drive business results. Key Responsibilities: Data Analysis & Insights Generation: Analyze big data to produce actionable insights that directly contribute to product improvements and business outcomes. Model Building & Experimentation: Develop and deploy algorithms to extract useful information from large datasets. Use statistical analysis and machine learning techniques to create predictive models. Data Visualization & Reporting: Create interactive dashboards and visualizations to help monitor key metrics and inform stakeholders. Automate report generation using data visualization tools. Collaborate with Teams: Work closely with business teams to translate customer requirements into problem definitions and develop algorithmic solutions to address business challenges. Data Processing & Pre-processing: Gather, clean, and preprocess relevant data for insight generation and model building. Present Complex Results: Distill complex analysis into simple, clear visualizations and explanations for stakeholders at all levels. Apply Data Science Techniques: Use techniques such as exploratory data analysis (EDA), regression analysis, decision trees, clustering, survival analysis, and more. Continuous Improvement: Apply iterative analytics to steer the continuous improvement of products and algorithms. Who You Are: Analytical Thinker: You have strong analytical skills and a passion for deriving actionable insights from complex data. Technical Proficiency: Proficient in Python, R, SQL, and Excel. Familiarity with AWS and Git is highly preferred. Data Science Knowledge: Solid understanding of statistical concepts, machine learning models, and algorithms. Knowledge of data science tools and techniques for large-scale data analysis. Data Visualization Expert: You can create clear and impactful visualizations to communicate findings effectively. Problem Solver: You thrive on tackling ambiguous problems and developing innovative solutions that directly impact the business. Collaborative: You enjoy working in a team environment and are able to translate technical concepts into business-friendly language for diverse audiences. Desired Qualifications: 6-8 years of experience in data science with a focus on machine learning and statistical modeling. Expertise in Python, R, SQL, and Excel for data analysis and visualization. Experience with AWS, Git, and other cloud-based technologies. Solid understanding of statistical concepts, machine learning algorithms, and model deployment. Experience with data visualization tools and creating dashboards. Ability to effectively communicate complex results to non-technical stakeholders. Innovative Culture: At FinBox, we love disruption and creativity. Here, you can take ownership and contribute ideas that directly impact our product and the industry. Global Impact: Work on high-impact projects with global customers, improving access to credit for millions. Career Growth: FinBox offers a fast-paced, dynamic environment where you can rapidly grow your career. Collaboration & Diversity: Join a team of talented, passionate people who value collaboration and diverse perspectives. If you re ready to make a real difference in fintech and enjoy solving complex problems with data science, apply now to be part of the FinBox team!

Principal Data Scientist | FinBox | Gurgaon Location: Gurgaon Experience: 8-11 Years About FinBox FinBox is at the forefront of transforming the financial services industry with our innovative technologies. Since our inception in 2017, we have empowered lenders, such as Banks, NBFCs, and large enterprises, to build and launch credit products quickly within days rather than months or years. As a Series A funded company, we re expanding globally with offices in India, Vietnam, Indonesia, and the Philippines. Our mission is to build world-class infrastructure for lending products, helping financial services companies scale and launch credit programs that set a new standard in digital finance. We've already helped our customers disburse billions of dollars in credit across unsecured and secured credit, including personal loans, working capital loans, business loans, mortgages, and education loans, impacting over 5 million customers every month. Why You Should Join FinBox: Innovative Environment: We cultivate creativity and experimentation. We want you to challenge the status quo and push boundaries in fintech. Impactful Work: Your contributions will have a direct, positive impact on millions of lives, making credit more accessible to individuals and businesses globally. Growth Opportunities: As a Series A-funded startup, FinBox provides tremendous opportunities for career development and professional growth. Collaborative Culture: Join a diverse, inclusive, and highly skilled team, all passionate about making a meaningful difference in the fintech world. Role Overview: As a Principal Data Scientist at FinBox, you will play a critical role in driving data science initiatives and shaping the direction of data-driven decision-making. You will leverage your deep expertise in machine learning and statistics to design and deploy predictive models, optimize algorithms, and lead experimentation processes that directly impact our products and business strategies. You will work closely with cross-functional teams to translate business requirements into data-driven solutions and collaborate on deploying models at scale. Key Responsibilities: Data Analytics & Insights: Analyze large, complex datasets to generate insights that drive business growth and measure the impact of business decisions. Model Development & Experimentation: Design, build, and deploy predictive models, using machine learning techniques such as regression, clustering, decision trees, and survival analysis. Algorithm Development: Optimize algorithms to process data efficiently, supporting better decision-making across the business. A/B Testing & Experimentation: Lead A/B testing and other experimentation methodologies to refine products and optimize business strategies. Data Visualization & Reporting: Create automated dashboards and reports using visualization tools like Tableau or Power BI to clearly communicate insights to stakeholders. End-to-End Data Processing: Manage the full lifecycle of data processing from gathering and cleaning data to creating models and deploying them in production. Stakeholder Collaboration: Collaborate with product, engineering, and business teams to translate business needs into data-driven solutions. Model Deployment: Ensure that machine learning models are effectively deployed at scale and optimized for real-time business applications. Who You Are: Experience: 8+ years of experience in data science, with a proven track record in the finance or fintech industry. Technical Expertise: Strong proficiency in Python, R, SQL, and Excel for data analysis, model development, and automation. Cloud & Version Control: Proficiency in AWS for cloud-based deployment and Git for version control. Advanced Data Science Skills: Expertise in statistical methods and machine learning techniques including regression, clustering, decision trees, bootstrapping, and survival analysis. Data Visualization: Extensive experience with data visualization tools like Tableau, Power BI, or open-source libraries (e.g., Matplotlib, Seaborn). Problem Solving & Communication: Strong problem-solving skills with the ability to distill complex models into actionable insights for business stakeholders. Deployment Experience: Experience in deploying and maintaining machine learning models at scale, focusing on automation, real-time analytics, and continuous improvement. Innovative Culture: Join a team that is dedicated to pushing the boundaries of what is possible in fintech, with an environment that fosters creativity and experimentation. Global Impact: Your work will directly influence the future of financial services, helping millions of customers access fair and accessible credit. Career Growth: As a growing startup, FinBox offers substantial opportunities for personal and professional growth. Collaborative Team: Work with a team of talented, driven professionals who believe in collaboration, inclusivity, and shared success.

Job Title: Senior SailPoint Developer Job Description: We are seeking an experienced Senior SailPoint Developer with 9 to 12 years of hands-on experience in SailPoint IdentityIQ development. The ideal candidate will have a strong background in implementing SailPoint IdentityIQ solutions, application onboarding, RBAC configuration, provisioning workflows, access review, and certification campaigns. Software Requirements: SailPoint IdentityIQ Java, Beanshell, XML, SQL/Stored Procedures Active Directory, LDAP Overall Responsibilities: Implement SailPoint IdentityIQ solutions based on business requirements. Develop and maintain connectors for application onboarding (e.g., AD, Web Services, JDBC). Configure Role-Based Access Control (RBAC) within SailPoint IdentityIQ. Design and implement provisioning workflows for Joiner/Mover/Leaver scenarios. Set up access review and certification campaigns in SailPoint. Enforce Segregation of Duties (SoD) within the identity governance framework. Develop and maintain custom rules, tasks, and reports in SailPoint. Category-wise Technical Skills: Application Onboarding: Proficient in methodologies for various platforms such as Active Directory, Web Services, JDBC, etc. RBAC & Provisioning: In-depth understanding of Role-Based Access Control (RBAC) and its implementation in SailPoint. Experience in designing and managing provisioning processes and Joiner/Mover/Leaver workflows. Certification & SoD: Capable of setting up and managing access certifications within SailPoint. Knowledge of Segregation of Duties (SoD) policy enforcement and management. Programming & Development: Strong programming experience in Java, Beanshell, XML, and SQL/Stored Procedures. Ability to develop and maintain custom rules, tasks, and reports in SailPoint. Experience: 9 to 12 years of hands-on experience in implementing SailPoint IdentityIQ solutions. Strong experience in business roles, analysis, design, and implementation. Day-to-Day Activities: Collaborate with stakeholders to gather and understand business requirements. Design and implement SailPoint IdentityIQ solutions to meet business needs. Develop and maintain connectors for application onboarding. Configure and manage RBAC within SailPoint. Design and implement provisioning workflows and policies. Set up and manage access review and certification campaigns. Enforce Segregation of Duties (SoD) within the identity governance framework. Develop and maintain custom rules, tasks, and reports in SailPoint. Troubleshoot and resolve issues related to SailPoint IdentityIQ implementation. Qualifications: Bachelor s degree in Computer Science, Information Technology, or a related field. SailPoint IdentityIQ certification is highly desirable. Soft Skills: Strong analytical and problem-solving skills. Excellent communication and collaboration skills. Ability to work independently and as part of a team. Attention to detail and strong organizational skills. S YNECHRON S DIVERSITY & INCLUSION STATEMENT: Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal-opportunity workplace and an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative Same Difference is committed to fostering an inclusive culture promoting equality, diversity, and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements, and individual qualifications, without regard to the applicant s gender, gender identity, sexual orientation, race, ethnicity, disability, veteran status, or any other characteristic protected by law. Qualification : Bachelors degree in Computer Science, Information Technology, or a related field.

About Shiprocket: At Shiprocket, we are on a mission to simplify and elevate the e-commerce experience. We provide e-commerce sellers with AI-powered technology and reliable services, covering everything from conversion and order fulfillment to shipping, customer communication, and returns management. Our platform scales data, workflows, and supply chains to equip sellers with the tools they need to deliver exceptional customer experiences. What It s Like to Work at Shiprocket: At Shiprocket, we embrace the following success traits that shape our culture and drive us toward achieving great things: Innovation Within Constraints: Embrace constraints and use them as a foundation for innovation. Speed is Key: Make swift decisions and take action based on their potential impact. Ruthless Frugality: Be frugal, as it leads to growth and efficiency. Direct Communication: Be transparent and honest in all interactions. Sports Team Mentality: We re not a family, we re here to win as a team. Customer Obsession: Always prioritize the customer and their experience. Role Overview: We re seeking a highly analytical and data-driven Central Analytics Lead to drive data-informed decision-making across Shiprocket. In this role, you ll play a critical part in building and scaling our central analytics function. You will help identify key business opportunities, provide actionable insights, and enable data-driven strategies across all departments. Key Responsibilities: Develop & Implement Analysis Frameworks: Design and implement robust data analysis methodologies and frameworks to enhance decision-making. Dashboard & Reporting: Build and maintain data dashboards and reports to monitor performance and track key business metrics. In-depth Data Analysis: Conduct detailed analysis to identify trends, uncover insights, and inform strategic decisions that drive business growth. Stakeholder Presentations: Develop data-driven presentations to communicate insights and recommendations to stakeholders across the organization. Cross-Functional Collaboration: Work closely with teams across product, marketing, sales, and operations to understand their data needs and provide actionable insights. Team Development: Build and mentor a high-performing team of analysts (future expectation). Identify Opportunities for Innovation: Identify areas for process improvement and data-driven innovation to enhance business strategies. Ensure Data Integrity: Maintain data quality and integrity across all systems and platforms. Stay Ahead of Trends: Keep up-to-date with the latest advancements in data analytics and visualization tools. Preferred Skills & Qualifications: Experience: 4+ years in an analytics role, ideally in a fast-paced, high-growth startup environment. SQL & Data Warehousing: Exceptional SQL skills with experience in data warehousing and ETL processes. Data Visualization: Strong experience with data visualization tools (e.g., Tableau, Power BI, Looker). Communication Skills: Excellent presentation, communication, and storytelling abilities to translate complex data into actionable insights. Analytical & Problem-Solving Skills: Strong critical thinking and independent problem-solving skills to tackle complex data challenges. Growth Mindset: Eagerness to learn and adapt to new challenges and technologies. Educational Background: Bachelor s degree in Statistics, Mathematics, Economics, Computer Science, or a related field. Bonus Points: Data Infrastructure: Experience in building and scaling data infrastructure and systems. Machine Learning: Experience with machine learning and predictive modeling techniques. Qualification : Bachelors degree in Statistics, Mathematics, Economics, Computer Science, or a related field.

Job Title: Security Advisor (SailPoint IdentityNow) Location: Gurgaon Educational Qualification: 15 years of full-time education (BE/MCA/MSc preferred) Experience Required: Minimum 5 Years Role Overview As a Security Advisor, you will lead teams in developing and implementing innovative security solutions using SailPoint IdentityNow (IDN) and IdentityIQ (IIQ). Your role will involve defining requirements, designing, building, and testing security components while ensuring compliance with risk-reducing behaviors and processes. You will work on configuration, customization, integration, and troubleshooting for SailPoint and related IAM (Identity and Access Management) platforms like Oracle, IBM, and Saviynt. Key Responsibilities SailPoint Configuration & Customization Design, configure, and customize SailPoint IDN & IIQ. Work with virtual appliances (VA), identity profiles, cloud rules, transformation rules, and migrations. Implement custom rules, workflows, Java BeanShell scripts, JML (Joiner-Mover-Leaver), and SailPoint IIQ API/REST API. Integration & Troubleshooting Configure SailPoint integration with multiple platforms like Active Directory, SAP, Workday, Azure O365, JDBC, and cloud applications. Quickly onboard applications and migrate users. Troubleshoot technical issues, bug fixing, and system enhancements. Implementation & Security Operations Work on access request customization, certifications, auditing, and custom reporting. Develop Quicklinks, user LCM (Lifecycle Management), certification workflows, and forms. Ensure compliance with security policies and industry best practices. Collaboration & Knowledge Sharing Work closely with cross-functional teams to ensure smooth security implementation. Provide technical guidance and mentoring to junior developers. Contribute to team discussions, issue resolutions, and enhancements. Must-Have Skills: Proficiency in SailPoint IdentityNow (IDN). Experience with SailPoint IdentityIQ (IIQ). Strong knowledge of integrating SailPoint with platforms like Active Directory, Workday, SAP, and cloud applications. Hands-on experience in Java/J2EE development. Understanding of IAM concepts, workflows, and certifications. Good-to-Have Skills: Experience in Oracle, IBM, and Saviynt IAM solutions. Knowledge of IT security, compliance, and risk management. Excellent problem-solving, articulation, and presentation skills. Work Environment & Expectations Be a quick learner, team player, and self-starter. Willingness to upskill and learn new technologies. Engage in continuous learning and knowledge sharing. Work on advanced identity and access management (IAM) security solutions. Collaborate with leading security experts in a global environment. Enhance your skills in a challenging, high-growth role.

Company Overview: Louis Dreyfus Company (LDC) is a leading global merchant and processor of agricultural goods, involved in every aspect of the agricultural value chain from farm to fork. Operating in over 100 countries with a team of 18,000 employees worldwide, LDC uses its extensive network to connect producers and consumers globally, providing sustainable solutions across a broad range of business lines. Job Description: As a Trading Manager in Agricultural Commodities, you will play a key role in managing and driving the company s trading activities. Your responsibility will include keeping track of market developments, managing relationships with buyers and sellers, ensuring smooth logistical operations, and handling risk management. You will be actively involved in real-time market analysis, trading, and maintaining a competitive edge in the market by utilizing your deep understanding of supply and demand, market trends, and commodity pricing. You will also lead and develop a team, ensuring that the team adheres to company regulations and achieves performance goals. A focus on continuous learning and development will be essential for the success of the team and your own career growth. Key Responsibilities: Market Analysis & Trading: Track and analyze market trends, current values, and relative competitiveness of different origins in agricultural commodities. Conduct supply and demand analysis, staying updated on factors like production, consumption, and weather developments affecting agricultural production. Continuously develop trading ideas based on real-time market analysis and defend positions with a focus on learning and improvement. Risk Management & Closure: Control and manage trading risks, including market, counterparty, quality, and political risks. Manage and increase trading volumes with existing suppliers and customers while ensuring compliance with contracted delivery parameters. Assess the risk-reward ratio for each trade and ensure proper risk management is in place. Team Management & Development: Lead and motivate the team to achieve company and platform goals. Encourage team members by setting clear goals, offering guidance, and identifying areas for training and skill enhancement. Provide continuous support for the learning and growth of team members, assisting with talent development and performance assessments. Logistics & Operations: Develop a solid understanding of logistics to ensure smooth operations for trade completion. Collaborate with relevant teams to ensure timely and efficient execution of deals, optimizing supply chain processes and mitigating any potential issues. Qualifications & Skills: Experience: 5-10 years of relevant trading experience in agricultural commodities (preferably in oilseeds, oils, or similar markets). Education: Master s Degree or MBA. Skills: Strong analytical skills with a continuous learning attitude. Excellent interpersonal and communication skills, with the ability to work in dynamic, fast-paced, and challenging environments. Ability to manage risks effectively and make informed decisions in trading. Strong leadership skills to motivate and guide a team. Additional Information: Ability to thrive in a reactive and fast-paced environment. A strong focus on teamwork, with the ability to develop team members skills and align them with company goals. Qualification : Master's Degree/ MBA

Job Description You will: Define strategies and act to generate long term and short-term customer success and business results. To exceed quarterly sales targets by selling On-Premises Technology software and Oracle PaaS/IaaS into named accounts and/or within an assigned geographical or vertical market. Own the entire sales process to ensure delivery against key performance metrics, with a strong emphasis on new business sales, while growing existing accounts. Territory identification and research, to formalize a go to market territory strategy and build a qualified pipeline within 90 days. Pipeline development through a combination of use case development and industry knowledge/intelligence. Adequate pipeline to ensure over-achievement within the designated territory. Engage with prospect organizations to position the Oracle solution through value-based selling, case definition, return on investment analysis, references, and analyst data. Handle the end-to-end sales process through engagement of appropriate resources such as Pre-Sales Consultants, Business Development Consultants, Oracle Consulting, Executives and Partners etc., and through effective utilization of selling tools such as Engineered selling process (ESPs), Customer 360, etc. Daily update of Oracle Sales Cloud system with accurate customer and pipeline data. Accurate forecasting and revenue delivery. Continuous improvement in self-research, learning and readiness on the new product offerings Career Level - IC4 Responsibilities Primary job duty is to sell technology software products and related services in a defined territory. Identifies, qualifies and closes new opportunities. Handle accounts including the entire sales process from business development prospecting and specifications through contract negotiations, signing, and post-sales support. Leverages the Oracle sales model to improve revenue growth and increase local market share. Builds and expands business partner revenue and self-sufficiency! We also look for: Shown experience (12-15 years) in selling enterprise software solutions or services to Government/Public Sector customers. Successful history of net direct new business sales, with the ability to prove consistent over achievement against targets. Ability to build reciprocal relationships with different parts of the business, partners and customers and identifies alignments across LOBs and acts on opportunities to integrate business, with credibility at all levels, including Lines of Business and CxOs. Validated understanding of the IT industry Cloud landscape and market. Proficiencies in building value proposition and positioning strong proposals. Strong listening skills with confirmed ability to communicate across all levels and optimally adapts to multifaceted situations. Be creative with strong problem-solving skills and the ability to adapt and succeed in a fast paced and ambiguous environment. Confirmed ability to work well as part of an extended sales team. Life at Oracle and Equal Opportunity An Oracle career can span industries, roles, Countries and cultures, giving you the opportunity to thrive in new roles and innovate, while blending work life in. Oracle has thrived through 40+ years of change by innovating and operating with integrity while delivering for the top companies in almost every industry.

Technical Lead Location: Gurgaon Main Responsibilities: Analyze, design, develop, test, deploy, maintain, and enhance software applications. Collaborate with architects and business analysts to define functionalities, resolve issues, and implement changes. Troubleshoot and resolve technical problems and bugs. Maintain and manage existing codebases efficiently. Perform unit testing, system testing, and bug fixing to ensure software quality. Conduct code reviews and continuously improve code standards. Manage configuration and release management tasks. Track defects and provide timely updates. Participate in project planning and status reporting. Qualifications & Work Experience: Bachelor s or Master s degree in Engineering (B.E./B.Tech/M.Tech) or MCA. 7 to 10 years of IT experience with a strong background in .NET technologies. Hands-on experience in C#, ASP.NET, MVC, ADO.NET, and SQL Server. Technical Skills: Proficient in C#, ASP.NET Framework (4.0+), MVC (4.0+). Strong knowledge of SQL Server 2008/2012, including triggers, views, and stored procedures. Experience with Entity Framework, LINQ, Web Services (WCF, REST, APIs). Good understanding of front-end technologies including HTML, CSS, jQuery, and JavaScript. Familiarity with design patterns, TFS, SSRS, and XSLT. Personal Skills: Leadership capabilities to guide and mentor the development team. Strong problem-solving skills and the ability to make impactful decisions. Excellent teamwork and communication skills. Expertise in coding, software architecture, and debugging. Commitment to continuous learning and proactive approach. Ability to take initiative and ownership. Skilled in conducting peer code reviews. Experience with deployment and configuration management. Qualification : Bachelors or Masters degree in Engineering (B.E./B.Tech/M.Tech) or MCA

Inside Sales Executive Location: Gurgaon Experience: 0 3 years Employment Type: Full-Time About the Role We are seeking a driven and results-oriented Inside Sales Executive to join our dynamic team in Gurgaon. In this role, you'll be instrumental in growing our Channel Partner Network, increasing revenue through strategic sales efforts, and enhancing our market presence through effective relationship-building and follow-ups. Whether you're just starting your career or bringing a few years of experience, this is a great opportunity to contribute to a fast-growing business and take your sales career to the next level. Key Responsibilities Acquire new Channel Partners to expand our channel business. Drive lead conversions and boost revenue through well-planned sales initiatives. Collaborate with the sales team to design and implement impactful sales strategies. Manage the end-to-end sales cycle independently, with a strong focus on closures and targets. Build strong, lasting relationships with Channel Partners through regular follow-ups and excellent customer service. Consistently achieve and exceed monthly sales targets. Enhance Square Connect's market presence and brand visibility in the region. Candidate Profile Minimum qualification: Graduate in any discipline Strong communication skills both verbal and written Confident, target-driven, and self-motivated Ability to work independently and in a team-oriented environment Prior experience in sales, telesales, or channel management (preferred but not mandatory) Opportunity to work in a fast-paced, growth-oriented environment Competitive performance-based incentives Learning and career development opportunities Be part of a brand making a strong impact in the market Qualification : Graduate in any discipline