Materials Science 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.

Job Description Overview Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do. Our powerful, award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. Diversity, equity & inclusion are integral parts of our culture and drivers of innovation at Keysight. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers. Responsibilities Ability to build software products to help scale a secure software factory. Qualifications Careers Privacy Statement Keysight is an Equal Opportunity Employer. Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field. Proven experience as a Software Architect or similar role, with a focus on security and third-party component management. Strong understanding of software architecture principles, design patterns, and best practices. Experience with artifact scanning, SBOM, and vulnerability management tools. Excellent problem-solving skills and the ability to think strategically. Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams. Knowledge of open-source software and third-party component licensing is a plus. Qualification : Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.

At Stryker, we offer a comprehensive total rewards package, including bonuses, healthcare, insurance benefits, retirement plans, wellness programs, and more. We also offer service and performance awards, along with various social and recreational activities all tailored to each location. Job Description What You Will Do: Lead the design, development, modification, and verification of components, modules, and sub-systems for medical devices, transforming user needs into design specifications. Drive advanced prototyping and testing, solving complex product design issues with independence and innovation. Leverage deep knowledge of customer needs, market trends, and clinical procedures to shape design inputs and author comprehensive solutions. Participate in Voice of Customer sessions with internal teams and clinicians to better understand and incorporate feedback into product development. Mentor team members on the use of industry standards, including design requirements, test strategies, and regulatory compliance. Manage and refine engineering documentation, such as the Design History File, and follow R&D procedures for design controls and risk management within our Quality Management System. General Responsibilities: Collaborate with cross-functional teams, including R&D, Quality, Manufacturing, Regulatory, Clinical, Marketing, and Project Management, to ensure project success. Drive projects through the design, development, and launch phases while delivering high-quality results that meet business priorities. Foster partnerships within teams to achieve common business objectives and provide leadership throughout the development process. Minimum Qualifications (Required): Bachelor s degree in engineering (mechanical, biomedical, or related field) with 7-10 years of professional experience. Preferred Qualifications (Strongly Desired): Expertise in designing mechanical/electromechanical systems with a focus on Design for Manufacturability (DFM). Proficient in creating engineering drawings, models, and applying GD&T and CAE tools. Solid understanding of materials and manufacturing processes applied to product design. Strong communication skills, with the ability to explain complex technical information to team members. Health Benefits: Medical, dental, and vision insurance Prescription drug coverage Critical illness, accident, and hospital indemnity insurance Personalized healthcare support, wellness programs, and tobacco cessation Financial Benefits: Health Savings Account (HSA) and Flexible Spending Accounts (FSA) 401(k) plan with company match Employee Stock Purchase Plan (ESPP) Life insurance, short-term disability insurance About Stryker: Stryker is a global leader in med-surg, neurotechnology, and orthopedics, impacting over 150 million patients each year. We work closely with healthcare professionals to develop innovative solutions that improve patient outcomes. Depending on role requirements, employees may need to obtain certain vaccinations to access customer accounts. Qualification : Bachelor of Science in Engineering, Mechanical Engineering, or BioMedical & 7-10 years of work experience.

About the Role: Android Developer We are looking for an enthusiastic and skilled Android Developer to join our fast-paced, growing startup. If you're passionate about mobile app development and eager to contribute to building innovative, high-quality Android applications, this is the perfect role for you. As an Android Developer, you will be responsible for designing, developing, and maintaining our Android applications, ensuring the best performance, quality, and responsiveness. A Great Fit: Excited about fast-paced start-ups: If you're someone who thrives in dynamic environments, this is a role for you. Join a small, talented team where your work will have an immediate impact. Self-driven and ambitious: We're looking for someone who is proactive and passionate about building exceptional Android apps. Strong experience in mobile app development: You will be responsible for designing and developing Android apps, working on bug fixes, and improving performance. Collaborative: As part of a cross-functional team, you'll define, design, and ship new features for our applications. Responsibilities: Design, develop, and maintain Android applications, ensuring performance, quality, and responsiveness. Translate designs and wireframes into high-quality code. Fix bugs and improve application performance, focusing on enhancing user experience. Collaborate with cross-functional teams (product, design, back-end) to define and implement new features. Write clean, maintainable, and efficient code. Stay up-to-date with new mobile technologies and trends, ensuring continuous improvement. Must Have: Strong experience with Java and Kotlin: Proven hands-on experience with Java and Kotlin is mandatory, including expertise in MVP architecture. Knowledge of MVVM architecture is preferred. Android design principles: Experience with Google's Android design principles, patterns, and best practices is essential. Mobile landscape and trends: Familiarity with the general mobile ecosystem, architecture, and emerging technologies. API Integration: Experience working with external data sources, APIs, and different design patterns for mobile apps. Unit Testing: Experience in unit testing, covering edge cases, usability, and app reliability. Memory management and performance tuning: Strong understanding of memory management, network interactions, performance optimization, concurrency, and multi-threading in Android. Strong foundation in Computer Science: A solid understanding of data structures and computer science fundamentals. 2+ years of experience: At least two years of hands-on experience in Android application development. Educational Qualification: A B.S. in Computer Science or equivalent engineering degree from a Tier I or II college. If you are looking to grow in an exciting, high-impact environment and have a passion for Android development, we'd love to have you on board. Join us and take part in shaping the future of mobile app technology! Qualification : B.S. in Computer Science or equivalent engineering degree from Tier I or II college.

Key Responsibilities: Responsible for design, development, testing, troubleshooting, measurement, optimization and improvement of software, new products, and code libraries across platforms. Partners with cross functional experts (Product Management, Sales, Design, etc) to determine customer focused solutions. Leverage best practices, articulates ideas, & markets them across team and organization. Promotes a culture of continuous learning. Leads application/framework/service design efforts, optimizing for quality, testing, and scale. Communicates clearly with the team and management to define & achieve goals. Must Have: 2+ years of Experience with Angular. Excellent knowledge of front-end design and development. Strong expertise with HTML, CSS, and writing cross-browser-compatible code. Hands-on and implements complex AngularJS applications, directives, controllers, services. Good understanding of AJAX and JavaScript DOM manipulation techniques. Experience in JavaScript build tools like Grunt or Gulp. Thorough understanding of Computer Science Fundamentals and data structures. Critical thinking and problem-solving skills. Experience in working with the backend team for integrations. Experience with RESTful services.

Your Impact In this role, you will be integral in supporting team members, consultants, and clients with requests and engagements within your area of expertise. You will tackle complex challenges faced by leading life sciences companies, particularly in pharmaceutical operations such as manufacturing networks, external supply management, and supply chain optimization. You will also delve into the evolving impact of digital and automation technologies in these domains. Additionally, you will develop a well-rounded understanding of industry and economic trends to establish a strong area of expertise in life sciences. You'll work closely with Life Sciences Operations leaders on key initiatives and leadership objectives, such as preparing practice qualification materials and assisting in leadership meetings. Your contributions will help project teams navigate industry trends, key players, and research challenges. Using your knowledge, you will help codify best practices and develop new research products, such as fact packs, summary perspectives, and analytical reports. Your work will include developing benchmarking tools and producing high-quality, client-ready deliverables that are comprehensive, well-organized, and insightful. As you progress, you'll also mentor new team members, fostering their professional growth, and contributing to the success of the knowledge management team. You will build strong communities across various practices and offices, and create strong connections with knowledge professionals in other units as well as consultants across the firm. Your Growth Based in our Gurugram office, you will be a part of the Life Sciences Intelligence team in India, embedded within our Life Sciences Practice. As part of our global knowledge network, you will collaborate with over 100 professionals based in key hubs such as Waltham, New Jersey, Brazil, London, Brussels, Poland, Lisbon, India, Japan, and China. In this role, you'll collaborate with fellow team members, consultants, and clients to drive impactful projects. You ll work across multiple industry and functional areas to generate unique insights, enhance capabilities, and deliver the best of our firm s expertise to clients. Your Qualifications and Skills A degree in Pharmacy/Biotech, an MBA, M.S. (Pharmacy), or M.Tech (Biotech) is preferred. A minimum of 2 years of experience in Indian pharmaceutical operations, consulting, or industry, particularly in areas like supply chain, manufacturing, quality, and procurement. Strong understanding of economic, financial, and business concepts. Proficiency in IT tools, including Excel, Word, PowerPoint, and basic business software. Analytical skills with knowledge of tools such as SAS, SPSS, Alteryx, and Tableau (a plus). Ability to structure and solve ambiguous problems. Adaptability in a dynamic, fast-evolving environment. Comfort working within diverse teams to craft optimal solutions and drive action. Ability to build and maintain trust-based relationships with colleagues and clients. Qualification : A degree in Pharmacy/Biotech, an MBA, M.S. (Pharmacy), or M.Tech (Biotech) is preferred.

Job Title: Data Analyst Department: S&P Global Commodity Insights About the Team: S&P Global Commodity Insights delivers essential intelligence for global commodity markets, ensuring data accuracy, consistency, and accessibility while driving innovation through advanced technologies and modern data management practices. As part of this team, you will play a pivotal role in shaping the future of commodity data and analytics in an evolving and dynamic environment. The Role: As a Data Analyst, you will be responsible for comprehensive data management, analysis, and project coordination. This includes gathering, cleaning, and organizing data from diverse sources such as Salesforce, Oracle, and Zuora, as well as performing analytical assessments and preparing impactful visualizations and reports for internal and external stakeholders. You will also support process optimization, quality assurance, and documentation management, collaborating closely with cross-functional teams to ensure alignment with business objectives. Key Responsibilities: Project Coordination and Administrative Support: Plan, organize, and track project timelines, deliverables, and milestones to ensure deadlines are consistently met. Lead cross-functional teams, clearly communicating project objectives, responsibilities, and expectations. Prepare meeting agendas, project status reports, and provide administrative support for project management processes. Data Management and Analysis: Collect and manage data from multiple sources, including Salesforce, Oracle, and Zuora, ensuring accuracy and completeness. Collaborate with Data Leads to align deployment schedules and project timelines. Work closely with the Data Management team to enforce data quality standards and processes related to ERP deployments, projects, and system enhancements. Deliver data analysis, design, and implementation tasks in accordance with agreed service levels (SLAs). Develop data visualizations and reports for internal teams and client presentations, effectively translating data into actionable insights. Identify process improvement opportunities through data analysis and recommend optimization strategies. Business Process Support: Partner with cross-functional teams to develop and support data-driven initiatives that align with business goals. Document process flows and contribute to change management efforts. Serve as a primary contact for key stakeholders, providing timely updates on project progress, risks, and outcomes. Quality Assurance: Review project deliverables to ensure they meet quality standards and client expectations. Conduct peer reviews of documents, presentations, and reports to ensure accuracy, consistency, and adherence to guidelines. Implement data validation processes to ensure data reliability and quality. Documentation Management: Maintain and standardize project-related documents to ensure accuracy and consistency across all materials. Organize and manage a well-structured repository of internal and client-facing documents, ensuring accessibility and version control. Qualifications & Skills: Basic Qualifications: Bachelor s degree in Business, Economics, Engineering, Computer Science, or a related field. 5-7 years of experience in a data analysis or project coordination role, preferably in a consulting or similar environment. Proficiency in Microsoft Office Suite, especially Excel, PowerPoint, and Word. Experience working with data management tools and technologies, along with strong analytical skills to interpret complex datasets. Detail-oriented mindset with a strong focus on data accuracy and process integrity. Excellent communication and leadership skills to effectively collaborate with cross-functional teams and stakeholders. Strong time management skills, with the ability to thrive in a fast-paced, deadline-driven environment. Preferred Qualifications: Familiarity with platforms such as Salesforce, Marketo, Oracle, Zuora, Snowflake, Databricks, Amazon Redshift, and Informatica. Experience working in Agile environments with a focus on Lean principles. Professional certifications such as: Salesforce Administrator or Business Analyst Lean Six Sigma PMP or PRINCE2 Certified Scrum Master About S&P Global Commodity Insights: At S&P Global Commodity Insights, we provide comprehensive intelligence and expert insights across global energy and commodity markets. Our trusted data and analysis empower customers to make informed decisions with confidence and create long-term value in an increasingly complex and rapidly evolving global landscape. We serve as a critical link, bringing together market participants, governments, regulators, and industry experts to co-create solutions that drive progress and support the energy transition. Our coverage spans oil and gas, power, chemicals, metals, agriculture, and shipping, offering a complete and integrated view of the commodities ecosystem. S&P Global Commodity Insights is a division of S&P Global (NYSE: SPGI), the world s leading provider of credit ratings, benchmarks, analytics, and workflow solutions across capital, commodity, and automotive markets. Through our innovative products and services, we help organizations navigate today s challenges while planning for a successful future. Qualification : Bachelors degree in Business, Economics, Engineering, Computer Science, or a related field.

Company Overview: American Express is committed to providing the world s best customer experience every day. The Global Servicing Group (GSG) is central to fulfilling this mission, with over 36,000 team members working across various lines of business, including Customer Engagement, Merchant Services, Credit & Fraud. Within this structure, the Global Capacity & Contact Management (GCCM) team works towards optimizing resources and maintaining consistent customer service levels globally. Role Overview: The Planning & Data Intelligence (PDI) team within GCCM plays a pivotal role in supporting global reporting and analytics. This role involves automating, standardizing, and enhancing the reporting ecosystem to enable better decision-making through data-driven insights. The role will also involve creating a more efficient process for managing large and multiple data sets and collaborating with business partners to drive the future of reporting within the organization. Key Responsibilities: Define Data Architecture Strategy: Contribute to the development of the data architecture strategy and roadmap to enhance the PDI data ecosystem. Automation & Standardization: Analyze the current reporting structure within GCCM and work towards automating and scaling it through self-service functionalities, especially using Tableau. Reporting Innovation: Collaborate with internal partners to create new reporting dashboards within Tableau and other platforms, ensuring better self-service and efficiency. Analytics & Problem-Solving: Leverage your strong analytical skills to solve both practical and theoretical business challenges, applying machine learning, data mining, and statistical analysis techniques. KPIs & Performance Metrics: Develop and manage key performance indicators (KPIs) to promote efficiency, drive awareness, and improve reporting systems across teams. Reporting to Leadership: Provide on-demand reporting and insights to senior leadership, helping them make informed decisions. Dashboard Development & Adoption: Coordinate the development and testing of new dashboards, ensuring data validation and documentation. Assist in training teams to adopt these tools effectively. Innovation & External Research: Continuously seek new ideas and innovations from external sources to bring best practices into the team s work. Required Qualifications: Educational Background: Bachelor's degree or equivalent combination of education and work experience. Technical Expertise: Expert knowledge in VBA, SQL, Cornerstone, Hive, and Python. Familiarity with workforce management KPIs and Tableau for report building is a plus. Data Analysis & Manipulation: Experience using SAS, Big Data analytics, and statistical software for data analysis and manipulation. Problem-Solving & Analytical Skills: Strong ability to perform deep dive analyses of business metrics, providing actionable solutions and recommendations. Call Center Management Expertise: In-depth understanding of call center principles and how they impact operations. Adaptability & Communication: Ability to work in a fast-paced environment with changing demands, managing multiple tasks effectively. Exceptional written and verbal communication skills in English. Collaboration Skills: Strong interpersonal skills to collaborate and influence across different organizational levels and teams. Benefits & Perks: Competitive Compensation: Base salary with bonus incentives. Health & Wellness Support: Comprehensive medical, dental, vision, life insurance, and disability benefits (dependent on location). Flexible Working Arrangements: Hybrid, onsite, or virtual options depending on role and business needs. Paid Parental Leave: Generous paid parental leave policies (dependent on location). Wellness & Support Programs: Access to global wellness centers and confidential counseling support through the Healthy Minds program. Career Growth Opportunities: Continuous career development and training opportunities. Equal Opportunity Employer: American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Qualification : Bachelor's degree or equivalent combination of education and work experience.

To fulfil this mission, the Marketing Science team at Meta is actively seeking a full-time, experienced Marketing Science Partner. A Marketing Science Partner at Meta works with internal and external clients in an industry vertical such as Automotive, E-commerce, Entertainment, CPG, Fin-Serv, Tech etc. on an ongoing basis to adopt better measurement as a way to improve business outcomes. To accomplish this, the person in this role will work both reactively and proactively with clients, using Meta s industry leading data science tools and data sets. Driving good measurement with advertisers will require designing tests (conversion lift, brand lift, attribution etc.) and doing research to help clients understand and improve the effectiveness of their advertising across digital platforms and across media. This work will require direct engagement with clients, with media agencies as well as using our third party scaling solutions to help with the set up and running of studies. Conclusions from this work will showcase what good measurement is and how clients can act upon it to drive business impact. The Marketing Science Partner will also focus on customizing existing capabilities or in some cases piloting new, scalable capabilities in partnership with Product, R&D, and Partnerships. Meta is seeking exceptional candidates to join the Marketing Science team with proven analytical and critical thinking skills as well as familiarity with large data sets, Marketing research and data manipulation tools. To successfully influence how advertisers conduct and use measurement, the candidate should be able to work cross-functionally with internal teams and partner closely with the Sales team. Marketing Science Partner, India Responsibilities Engage with clients and agencies to share research-based best practices and measure true business value by building and operationalizing learning agendas . The best practices and learning agendas will highlights how a client can improve business outcomes Work with advertising and industry bodies to create best in class measurement solutions Partner closely with sales to manage a set of accounts and prioritize which clients will get servicing from the team Support client engagement with third party vendors responsible for setting up and conducting measurement studies Drive client, vertical, and industry adoption of preferred measurement methodologies, best practices, products, and approaches in support of the learning agenda Design tests to showcase the power of good measurement using client data and Facebook or third-party technology tools Conduct in-depth standard and custom ad effectiveness studies for Facebook advertisers to understand the relative impact of different marketing strategies across digital platforms and across media Communicate complex research results to a general audience Offer selective consultation with clients & agencies on business hypothesis to test, measurement design & feasibility or insights interpretation Operate internal & external education & training workshops to raise awareness & advocacy of Measurement solutions & analytical best practices (auction, use of lift tools ) Minimum Qualifications Bachelor s degree in Business, Statistics, Data Science, Economics, Mathematics, Computer Science, Engineering, Sociology or similar Direct experience independently scoping and executing research projects with clients and or cross-functional stakeholders Experience analyzing and manipulating data sets to understand patterns and provide insights Experience leading at an industry level and with clients Ability to communicate technical content to general audience. Client-facing experience (internal or external), including ability to drive meetings or change through adoption of new products or research methods. Experience with digital advertising measurement methods and technologies Proven excellence in working with structured and unstructured data-sets, statistical software such as R as well as data extraction tools such as Hive, python and/or SQL is a must Experience with field experiments, experimental design, survey sampling, and/or panel data Preferred Qualifications Advanced degree in a quantitative field or an MBA About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today beyond the constraints of screens, the limits of distance, and even the rules of physics. Equal Employment Opportunity and Affirmative Action Qualification : Bachelors degree in Business, Statistics, Data Science, Economics, Mathematics, Computer Science, Engineering, Sociology or similar

Job Title: Agri Research Intern (Fresher) Location: Gurugram, Haryana, India Department: Procurement Job Type: Full-Time | On-Site About FarMart FarMart is reimagining the food supply chain by building a modern, digital-first platform that connects farmers, food businesses, and consumers. Our scalable sourcing solutions, asset-light processing, and tech-enabled distribution channels aim to make food systems more resilient, transparent, and efficient. Backed by top-tier investors like General Catalyst, Matrix Partners, and Omidyar Network, FarMart has impacted 3.2 million+ farmers and 2,000+ food businesses globally. Position Overview We are seeking a motivated Agri Research Intern to join our team and support agri-commodity research initiatives. This is a fantastic opportunity for freshers to gain real-world exposure to agriculture markets, commodity analysis, and data-driven decision-making within a high-growth agri-tech company. Key Responsibilities Market Research Conduct research on crops, livestock, and agri-products. Analyze supply-demand trends, price movements, and trade patterns. Gather data from surveys, industry reports, and online databases. Data Analysis & Reporting Build and maintain commodity market databases. Prepare insightful research reports and presentations. Offer actionable recommendations to support strategic decisions. Industry Monitoring Stay updated on agricultural policies, innovations, and market shifts. Track competitor activities and global market dynamics. Cross-Functional Collaboration Work with marketing, trading, and finance teams to meet internal research needs. Assist in planning market entry and expansion strategies. Documentation & Communication Document methodologies and findings with clarity. Present research outcomes effectively to internal teams and management. Qualifications Bachelor s degree in Agriculture, Economics, Statistics, Business, or a related field (Master s degree is a plus). Strong analytical and research skills. Proficiency in Excel, and exposure to tools like SPSS or Tableau is a plus. Excellent communication and organizational skills. Knowledge or keen interest in agricultural markets and commodity trading. Key Competencies Analytical Thinking Interpret data to make informed recommendations. Research Proficiency Strong attention to data accuracy and sourcing. Communication Skills Present findings clearly and effectively. Adaptability Comfortable with dynamic market environments. A flat, transparent culture and a dynamic, informal workspace. Steep learning curve with high-impact work from day one. Opportunities to innovate and take ownership of your projects. Collaborative work with industry-leading professionals and teams. Be part of an agri-tech revolution transforming India's food system. Apply now and be part of FarMart s mission to revolutionize food value chains! Qualification : Bachelors degree in Agriculture, Economics, Statistics, Business, or a related field (Masters degree is a plus).

Job Title: Client Onboarding Specialist Location: Gurgaon, Haryana Experience: 3-4 Years in a Customer/Client-Facing Role Department: Customer Success Employment Type: Full-Time About Spyne At Spyne, we re on a mission to revolutionize automotive retailing using Generative AI. Every year, 52 million cars are sold in the US, worth over $1700 billion, and the used-car market is valued at $1000 billion. Our AI-powered solutions transform car visuals into premium studio visuals, helping dealerships and marketplaces in the US and Europe engage online visitors, increase showroom visits, and ultimately drive sales. Spyne is growing rapidly, and we aim to expand our software solutions within the used-car market to cover all aspects of the dealer journey from car acquisition and appraisal to listing, marketing, selling, and managing customer relationships. Supported by top investors like Accel Partners and Storm Ventures, Spyne is poised to become a leading software provider in the used-car market. Join our team and help us reshape the future of digital production in the automotive industry! What We Are Looking For We are seeking a highly motivated Client Onboarding Specialist to join our Customer Success team. The ideal candidate will be responsible for ensuring seamless onboarding of customers, helping them successfully implement Spyne s products, and fostering strong relationships that drive customer satisfaction, retention, and expansion. Lead the entire customer onboarding process: Ensure a smooth transition from initial engagement to successful go-live and implementation of Spyne products. Cultivate strong customer relationships throughout the onboarding phase to ensure long-term success. Handle customer issues from start to finish, working in a dynamic and fast-paced environment. Respond to support queries via chat, email, and video conferencing, providing clear and timely solutions. Analyze customer data to continuously improve the customer experience. De-escalate and resolve issues using platform and industry expertise to ensure customer satisfaction. Work under time constraints and meet deadlines, often with unexpected challenges, to meet customer needs. Become a product expert and go-to resource for both customers and internal teams. Collaborate with cross-functional teams to identify opportunities for automation or added features to better serve customers. What You Must Have Bachelor s/Master s degree with 3-4 years of experience in a customer/client-facing role. Experience with US clients is an added advantage. Strong problem-solving abilities with a keen attention to detail. Exceptional written and verbal communication skills in English. Hands-on experience with HubSpot and Freshdesk is mandatory. Openness to working in US shift timings. Young Startup Culture: Our team has an average age of 25-26 years, and even during the Great Resignation , we had near-zero attrition a testament to our company culture. Top-Rated AI Tech Company: With a 4+ rating on Glassdoor, Spyne is recognized as one of the top-rated AI tech companies. Gender Diversity: We have one of the best male-to-female ratios in the AI tech industry. Employee Support: We offer best-in-class employee supportive policies in line with government mandates. Customer-Centric: We are obsessed with delivering the best customer experience and ensuring client delight. We are in the growth stage, and it s the perfect time to join! Be part of a team that is set to grow 10X+ and contribute to a revolutionary transformation in automotive retail. If you're passionate about customer success and want to be part of a fast-growing, innovative company, Spyne is the place for you. Apply now to start your journey with us! Qualification : Bachelors/Masters degree with 3-4 years of experience in a customer/client-facing role.

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!

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!

Data Scientist | FinBox | Gurgaon Location: Gurgaon Experience: 3-6 Years About FinBox: Where Fintech Meets Fun! Welcome to FinBox, where technology, innovation, and creativity meet to revolutionize financial services. Since our inception in 2017, we've been on a mission to transform the lending industry by helping lenders like Banks, NBFCs, and enterprises launch credit products faster than ever before. As a Series A funded company, we are growing rapidly with offices in India, Vietnam, Indonesia, and the Philippines. Our vision is to build world-class infrastructure for lending products that help banks and financial services companies scale globally. We've already helped customers disburse billions of dollars in both unsecured and secured credit, and our solutions are used by over 100 companies, impacting over 5 million customers monthly. Innovative Environment: We encourage creativity and experimentation, pushing the boundaries of what's possible in fintech. Impactful Work: Your contributions will directly impact the lives of millions, making credit more accessible. Growth Opportunities: As a growing Series A startup, we offer ample opportunities for professional development. Collaborative Culture: Join a diverse and supportive team that values different perspectives. Creative Thinkers: We love people who challenge the norm and bring fresh, out-of-the-box ideas. Customer Heroes: We need those who understand customer needs and go above and beyond to deliver exceptional experiences. Team Players: If you thrive in a collaborative environment and believe in the power of "we," you'll fit right in. How You'll Contribute to Our Data Science Team: Analyze structured and unstructured data to derive meaningful insights. Support predictive model development and statistical analyses to guide product decisions. Build dashboards and visualizations to monitor and report key business metrics. Assist in data gathering, pre-processing, and cleaning to maintain high-quality datasets. Conduct exploratory data analysis and hypothesis testing to enable data-driven decision-making. Automate reports and develop clear, effective data visualizations. Document data processes and findings in a structured, presentable format. Collaborate with cross-functional teams to translate business needs into actionable data-driven solutions. Apply foundational machine learning techniques, including regression analysis, clustering, and decision trees. Who You Are: Experience: 3+ years in data science, analytics, or a related field. Technical Skills: Strong proficiency in Python/R, SQL, and Excel for data manipulation and analysis. Visualization: Experience with tools like Tableau, Power BI, or similar for data visualization. Additional Skills: Familiarity with AWS, Git, and version control practices is a plus. Knowledge: Understanding of statistical concepts and basic machine learning models. Mindset: Eagerness to learn, experiment, and grow in a fast-paced, dynamic startup environment.

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.

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.

Position: Junior Technical Product Strategist - Cash Management Group About the Role: BlackRock is one of the world s leading asset management firms, offering a wide range of investment management, risk management, and advisory services. The Cash Management Group, part of the Global Cash Management team, manages Prime and Government Money Market and Ultra-Short Duration Mutual Funds and Separate Accounts, focusing on capital preservation, liquidity, and yield. The team uses a risk-controlled framework to deliver investment returns based on credit, interest rate trends, and relative value opportunities. Business Unit Overview: The Cachematrix Technical Product Strategy team is part of the Global Cash Management group and works with the Cachematrix Liquidity Management platform, a SaaS-based product that powers custom trading solutions for leading financial institutions worldwide. This platform provides seamless integration with core cash management systems or operates as a stand-alone system. Your Responsibilities: Analysis and Solution Definition: Collaborate with stakeholders to gather and document business requirements. Create and maintain Business Requirement Documents (BRDs), Functional Requirement Documents (FRDs), and Business Process Requirements (BPRs). Develop and execute test strategies for User Acceptance Testing (UAT) and provide feedback for improvements. Technical Recommendation and Testing: Identify, document, report, and track defects and issues. Manage issue reporting and triage, providing timely escalation as needed. Project Execution and Support: Offer business and platform support to ensure smooth platform operations. Oversee vendor data to maintain data integrity, verify accuracy, and ensure reconciliation. Set up and oversee client data extracts for seamless integrations. Build and maintain reports, including ad-hoc and automated reports, to support business needs. Communication: Deliver support and training demos to stakeholders and document operating models and handoff processes. Manage stakeholder communication between business and development teams. Preferred Experience: 1-3 years of experience as a Business Analyst or UAT Tester. Bachelor s degree in Business Administration, Information Technology, or a related field. Strong understanding of the software development lifecycle (SDLC) and testing methodologies. Excellent analytical and problem-solving skills. Familiarity with Agile & Scrum methodologies. Industry knowledge of financial services and processes. Experience with JIRA, Confluence, Miro, Visio, Aha or similar tools. Proficiency in SQL for querying and data analysis. Experience with data visualization and business intelligence tools such as Power BI, Tableau, Adobe Analytics, or similar platforms is preferred. Familiarity with programming languages like Python is a plus. Qualification : Bachelors degree in Business Administration, Information Technology, or a related field.

Job Title: Solution Engineer Connectivity Platform Location: Gurgaon Job Family: Research and Development Employment Type: Full-Time Category: Engineering & Technical About CNH Industrial Innovation. Sustainability. Productivity. CNH Industrial leads the way in advancing the vital work of farmers and builders worldwide. Our innovative products, from alternative power sources to precision technology, support feeding and sheltering a growing global population. Join a global, collaborative team dedicated to driving customer success through innovation. Job Purpose The Solution Engineer will provide technical leadership and people management to lead product development for the Connectivity platform, supporting IoT platforms such as Azure IoT Hub and ThingWorx. This role involves coordination across internal teams, program managers, and external partners to deliver scalable, secure engineering solutions that meet organizational goals. Key Responsibilities Develop a strategic technical vision and roadmap aligned with market needs and stakeholder objectives. Lead design and management of scalable, secure technical solutions aligned with business strategy. Align product architecture with vision and goals; evaluate technology options and lead decision-making. Collaborate with development teams to deliver features on schedule, adhering to CNHI standards and policies. Provide detailed technical specs and time/effort estimates; ensure non-functional requirements (performance, security) are met. Monitor development progress and communicate status updates to stakeholders. Identify and resolve project constraints, risks, and technical challenges. Facilitate cross-functional collaboration through clear frameworks and coordination. Architect and oversee integration of IoT platforms (Azure IoT Hub, ThingWorx) with enterprise systems. Guide development of secure, real-time, data-intensive IoT applications focusing on telemetry, edge computing, and data streaming. Experience Required 12+ years of industry experience, including 3+ years in a Solution/Enterprise Architect role. Strong foundation in software architecture and engineering principles (OOP, RESTful APIs, Design Patterns). Skilled in business analysis, stakeholder collaboration, and strategic technology planning. Expertise in security, encryption, API design, integration patterns, data architecture, messaging systems, and async programming. Experience developing RESTful APIs using OpenAPI specifications. Proven experience with Microservices architecture, Docker, and Kubernetes. Hands-on experience with Microsoft Azure cloud services and PaaS components. Performance tuning and application optimization skills. Expertise in IoT integration including device provisioning, edge connectivity, data ingestion, and telemetry. Technical Skills Languages & Frameworks: C#, ASP.NET Core, LINQ, JavaScript, HTML5, Angular, Java Authentication & Security: Azure AD, OAuth 2.0 (JWT), SSL/TLS Databases: SQL Server, PostgreSQL, Cosmos DB Caching: Azure Redis Cache Cloud & DevOps: Microsoft Azure (AKS, Blob Storage, Key Vault, APIM, Event Hub, Service Bus, Functions), Azure DevOps, Terraform, Git, GitLab Monitoring: Application Insights, Datadog, ELK Stack IoT Platforms: Azure IoT Hub, ThingWorx Messaging & Streaming: MQTT, Azure Event Hub, Service Bus Topics Testing & Automation: NUnit, xUnit, K6, PowerShell, Python Preferred Qualifications Bachelor s or Master s degree in Computer Science, Computer Engineering, or a related field. Dynamic international career opportunities. Inclusive culture committed to respect and equality. Flexible work arrangements. Comprehensive savings and retirement benefits. Tuition reimbursement. Parental leave, adoption assistance, fertility, and family-building support. Employee Assistance Programs. Charitable contribution matching and Volunteer Time Off. Grow your career with CNH Industrial where your skills drive innovation and build the future. Qualification : Bachelors or Masters degree in Computer Science, Computer Engineering, or a related field

Position: Sr. Executive Marketing (Communications & PR) Location: Gurgaon Work Experience: 4-8 years Education: MBA / PGDM in Marketing Job Purpose The Sr. Executive Marketing (Communications & PR) will be responsible for developing and implementing communication strategies to enhance the company s brand image and public relations. This role involves close collaboration with PR agencies to manage media relations, create press materials, and coordinate internal and external communications. The individual will also oversee digital marketing initiatives, including social media management and digital campaigns, to further strengthen the brand's online presence. Key Responsibilities Core Responsibilities Draft, distribute, and follow up on press releases in collaboration with the regional head office and media agency. Ensure that the PR agency maintains strong relationships with journalists and key media outlets to enhance brand visibility. Coordinate and manage public media events, product launches, media interactions, and press conferences. Monitor media coverage and prepare reports on the impact of PR activities for management. Handle crisis communications when needed, ensuring swift and effective responses to mitigate any potential reputational damage. Additional Responsibilities Integrate digital marketing strategies into the overall communication approach. Plan and execute digital campaigns, including budget allocation for platforms managed by digital agencies. Manage social media accounts (e.g., Google Ads, Meta (Facebook/Instagram) Ads, etc.), and engage with online communities to boost brand engagement. Monitor the company s online reputation, responding to public inquiries and issues through social media (including DMs and comments). Collaborate with the technical team to create and share engaging content, including blogs, articles, and social media posts. Analyze the performance of digital campaigns, prepare reports on metrics, and recommend improvements based on data insights. Key Competencies & Skills Strong communication skills and the ability to build and maintain a network of media contacts. Adaptability to manage changing media landscapes and evolving business needs. Excellent teamwork skills with the ability to collaborate cross-functionally with internal and external stakeholders. Proactive in staying updated on industry trends, PR tactics, and digital marketing innovations. Qualification : MBA / PGDM in Marketing