HR-Talent Acquisition Executive - Product - svayarobotics HR-Talent Acquisition Executive Location: Medchal - Hyderabad Job Summary: We are looking for a passionate and results-driven Talent Acquisition Executive who has 2 to 4 years of hands-on experience in hiring for Mechanical, Manufacturing, and Production roles. The ideal candidate will have a strong understanding of industry-specific skill requirements and a proven ability to source, assess, and onboard top talent. This role is based in Hyderabad and involves close coordination with internal teams and external stakeholders to fulfill key hiring mandates. Key Responsibilities: 1. Manage end-to-end recruitment for positions in mechanical design, manufacturing operations, production planning, quality assurance, maintenance, and related functions. 2. Understand job requirements and collaborate with hiring managers to define role needs and ideal candidate profiles. 3. Source candidates through job portals, social media, employee referrals, and networking within the manufacturing domain. 4. Screen, interview, and assess candidates for technical fit, experience, and culture alignment. 5. Schedule interviews, coordinate assessments, and manage the selection process. 6. Maintain recruitment reports, trackers, and documentation using MS-Excel. 7. Build a strong pipeline of qualified candidates for future hiring needs. 8. Stay updated on market trends, salary benchmarks, and competitor hiring strategies in the mechanical/manufacturing sector. Qualification 1. B.Tech/B.E , and MBA with Human Resources, or a related field. 2. Candidate should have 2 4 years of recruitment experience, with a focus on Mechanical, Manufacturing, or Production roles. 3. Strong understanding of engineering job functions and terminology. 4. Excellent communication, interpersonal, and negotiation skills. 5. Familiarity with modern sourcing tools, job portals (e.g., Naukri, LinkedIn). 6. Ability to work in a fast-paced environment and meet tight deadlines. Preferred: 1. Prior experience working in HR team in a product-based engineering company/manufacturing Industry/Aerospace/ Automotive. 2. Knowledge of local talent markets in Hyderabad and surrounding regions. Maximum file size limit is 5 MB. Supported file formats: pdf, doc

Product Marketer (Growth & Community) Who are we We are Spyne, 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 evolved 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 re scaling fast: Expanded across the US & EU markets Launched industry-first AI-powered Image & 360 solutions Achieved a 5X revenue surge in 15 months, aiming for 3-4X growth this year Now, we re rolling out an end-to-end GenAI Automotive Retail Suite and pushing into the US market to bring our AI-driven products to 3,000-4,000 dealers. Read more about us: Studio AI Product - t.ly/t0Ko5 Retail AI Product - t.ly/EyKC9 Series A Announcement - Spyne raises $16 Mil! Spyne raising another round!! Spyne secures funding for US Expansion! What are we looking for We re looking for a strategic Product Marketer with a knack for storytelling, branding, and growth. You will own the messaging, positioning, and go-to-market (GTM) strategies to drive Spyne s product adoption, engagement, and revenue. If you love crafting compelling narratives, building communities, and launching products that stick this role is for you! Location: Gurgaon (In-Office) Experience: 4-7 years in B2B SaaS Marketing (AI, MarTech, or vertical SaaS preferred) What will you do Positioning, Messaging & Sales Enablement Develop differentiated positioning and customer-centric messaging for Spyne s AI solutions. Create high-impact assets: website copy, sales decks, case studies, demo videos, and whitepapers. Conduct competitive research and sharpen Spyne s unique value proposition for each segment. Product Launches & GTM Lead end-to-end GTM planning and execution for new product launches. Collaborate with Product, Sales, and Customer Success to drive adoption and retention. Community Building (Dealerships & Partners) Build and grow a thriving community of dealerships, OEMs, and partners. Run forums, webinars, referral loops, and user engagement programs. Partner with Customer Success to amplify user stories, testimonials, and co-marketing. Executive Engagement & High-Touch Events Organize CXO roundtables, private dinners, webinars, and thought-leadership panels. Support leadership in producing strategic content: whitepapers, articles, and keynote decks. Brand & Content Strategy Own Spyne s brand visibility across LinkedIn, social media, PR, and digital campaigns. Collaborate with designers to produce engaging creatives, videos, and demo reels. What will make you successful in this role Experience in B2B SaaS marketing at early to growth-stage startups (1-10M ARR). Proven community-building experience (Slack, WhatsApp, LinkedIn groups etc). Strong copywriting and storytelling skills with the ability to simplify complex tech. Proven record of launching products, GTM execution, and campaign optimization. Event marketing and webinar hosting experience is a plus. Comfortable working with data to measure and iterate on campaign performance. Self-starter, proactive, and thrives in a fast-paced startup culture. Why Spyne Ownership: Directly shape Spyne s GTM and brand playbook in a global expansion phase. Rocketship Growth: Be part of an AI SaaS company with global ambitions. Rewards: Competitive salary, ESOPs, health benefits, and a stellar team. Apply Now!

Job Title : Manager - Manufacturing (Machine shop & Assembly) Division : Weir Minerals Location : Bangalore Onsite Purpose of Role: Oversee the daily workings of manufacturing operations. Lead a team to plan, manage, and implement order fulfilment delivery schedules to ensure customer requirements and revenue plans are safely met. Maintain the highest standard in safety, quality, production and delivery. Why choose Weir: (Required) Be part of a global organization dedicated to building a better future: At Weir, the growing world depends on us. It depends on us constantly reinventing, quickly adapting and continually finding better, faster, more sustainable ways to access the resources it needs to thrive. And it depends on each of us doing the best work of our lives. It s a big challenge - but it is exciting. An opportunity to g row your own way: Everything moves fast in the dynamic world of Weir. This creates opportunities for us to take on new challenges, explore new areas, learn, progress and excel. Best of all, there is no set path that our people must take. Instead, everyone is given the support and freedom to tailor-make their own career and do the best work of their lives. Feel empowered to be yourself and belong : Weir is a welcoming, inclusive place, where each individual s contribution is recognized and all employees are encouraged to innovate, collaborate and be themselves. We continually focus on people and their wellbeing. We believe in fairness and choose to be honest, transparent and authentic in everything we do. Key Responsibilities: Safety First: Demonstrate 100% commitment to our zero harm behaviours in support of our drive towards developing a world class safety Culture. Being a Relentless Self-Starter and ready to Make an Impact Now! Leading Managers and all plant operations to ensure correct, accurate and timely completion of production and delivery schedules. Analyses production to determine where improvements may be made which will contribute to plant profitability. Identify opportunities for operational improvements in processes and systems to enhance team performance. Hands on Work experience with site Lean initiatives across the plant to achieve lean level 3. Project Management and Execution. Lean Responsibilities Knowledge and exposure to basic lean techniques, Safety in Process documents and working. Focus Area: Key Performance Indicators Zero LTI & FAI Shop OTD> 99% FPYR>99% OEE>80% Technical Competencies Process Knowledge : Technical Know-how - 6M Knowledge on Safety Standards/ adherence/ Mentoring to team mates Planning and Organizing Trouble Shooting & Customer Focus Communication & Effective Presentation Skills Leadership Skills Behavioral Competencies Builds Trust Communicates Effectively Makes Good decisions Delivers Excellence through others Customer Focus Collaborates Developing People Performance mindset Safety First: Demonstrate 100% commitment to our zero harm behaviors in support of our drive towards developing a world class safety culture. Job Knowledge/Education and Qualifications: Qualification : B E Mechanical with least 12 to 15 years of experience in a manufacturing or production Leadership role is desired. Equivalent experience will be considered. Experience in CNC Machine shop, Assembly processes with continuous improvement environment and Worked in automotive companies is added advantage. Knowledge of ERP is essential. Exposure to fixtures, tooling & people management is desirable. Able to Communicate in both Languages English and Kannada. Founded in 1871, Weir is a world leading engineering business with a purpose to make mining operations smarter, more efficient and sustainable. Thanks to Weir s technology, our customers can produce essential metals and minerals using less energy, water and waste at lower cost. With the increasing need for metals and minerals for climate change solutions, Weir colleagues are playing their part in powering a low carbon future. We are a global family of 11,000 uniquely talented people in over 60 counties, inspiring each other to do the best work of our lives. For additional information about what it is like to work at Weir, please visit our Career Page and LinkedIn Life Page . Compensation Weir is committed to an inclusive and diverse workplace. We are an equal opportunity employer and do not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, veteran status, disability, age, or any other legally protected status. #LI-remote (working option) #LI-AB1 (Recruiter personal #)

What we offer: At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are. Group Summary: Transforming mobility. Making automotive technology that is smarter, cleaner, safer and lighter. That s what we re passionate about at Magna Powertrain, and we do it by creating world-class powertrain systems. We are a premier supplier for the global automotive industry with full capabilities in design, development, testing and manufacturing of complex powertrain systems. Our name stands for quality, environmental consciousness, and safety. Innovation is what drives us and we drive innovation. Dream big and create the future of mobility at Magna Powertrain. Job Responsibilities: Roles & Responsibilities Understand the day-to-day issues that our business faces, which can be better understood with data Compile and analyze data related to business issues Develop clear visualizations to convey complicated data in a straightforward fashion Qualifications Bachelors or Masters degree 4 - 7+ years Data Analysis experience Proficient in SQL Power BI Technical Skills - Power BI Desktop & Service, Data Modeling (DAX & Relationships), Power Query (M Language), Data Visualization & UI Design, Paginated Reports (Power BI Report Builder), Power Automate Integration Data Skills - SQL, Data Warehousing, Data Cleansing & Transformation Business & Analytical Skills -Requirement Gathering, Data Storytelling, KPI & Metrics Development Administration & Security - Row-Level Security (RLS), Power BI Service Administration Other Relevant Skills- Python/R (Optional), Excel (Power Pivot, Power Query), Idea of Project Management Awareness, Unity, Empowerment: At Magna, we believe that a diverse workforce is critical to our success. That s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email to comply with GDPR requirements and your local Data Privacy Law. Worker Type: Regular / Permanent Group: Magna Powertrain

Description Enphase Energy is a global energy technology company and a leading provider of solar, battery, and electric vehicle charging products. Founded in 2006, our innovative microinverter technology revolutionized solar power, making it a safer, more reliable, and scalable energy source. Today, the Enphase Energy System enables users to make, use, save, and sell their own power. Enphase is also one of the most successful and innovative clean energy companies in the world, with more than 80 million products shipped across 160 countries. Join our dynamic teams designing and developing next-gen energy technologies and help drive a sustainable future! About the Role We are seeking an ambitious and highly motivated Staff Software Test Engineer to design and develop various cloud program test activities. This role requires strong leadership and technical expertise, coupled with excellent communication and collaboration skills in a fast-paced environment. As a Staff Test Engineer, you will join a team focused on Systems Integration and Testing of all Enphase product offerings from all business units within Enphase Energy. In this role, you will: Develop and implement comprehensive test strategies and plans. Actively participate in engineering forums, review technical documents, product and design specifications, provide feedback from a system test perspective, and develop detailed test scenarios. Act as a Subject Matter Expert (SME) within projects concerning multiple Enphase systems. Design and develop test bed schematics, set up systems in the lab for end-to-end system test activities. Execute tests, log bugs in Jira, troubleshoot issues, and provide detailed analysis of the issues found. Lead bug triage discussions, provide impact analysis of the issues found by the team, and reach consensus with stakeholders to fix issues before releasing the product to the field. Who You Are and What You Bring Educational Background: A masters or bachelors degree in electrical/Electronic Engineering. Experience: 6+ years of system validation experience where multiple subsystems are integrated together. Skills and Attributes: High level of self-motivation and drive to make an impact, with a strong interest in being hands-on in the lab. Excellent presentation and communication skills, with experience working across various functional teams in a fast-paced environment. Solid experience in Mobile and Web application software Testing for Embedded Systems with IoT technology Solid experience in testing and REST APIs using SOAPUI and postman tool Expertise in Web and Mobile (Android and IOS) app testing. Exposure to Mobile application testing (iOS / Android) for IOT products. Experience working with field application engineers and translating field issues into use cases for system testing. Test experience in technologies such as Electrical, PLC, Instrumentation, Embedded Systems, Automotive, IoT, Solar, EVSE, Battery Storage Systems, and Home Automation. Exposure in testing Web applications software for Cloud, Security, MQTT, AWS services and REST APIs and Experience in Functional and non-functional testing. Experience with test management tools such as TestRail and DOORs. This role offers a unique opportunity to be part of a team that designs, develops, and manufactures next-generation energy technologies in a fast-paced, fun, and exciting work environment. If you are passionate about advancing a more sustainable future, now is the perfect time to join Enphase!

This website uses cookies to ensure you get the best experience. Autoliv India and our selected partners use cookies and similar technologies (together cookies ) that are necessary to present this website, and to ensure you get the best experience of it. If you consent to it, we will also use cookies for analytics and marketing purposes. You can withdraw and manage your consent at any time, by clicking Manage cookies at the bottom of each website page. Accept all cookies Decline all non-necessary cookies Select which cookies you accept On this site, we always set cookies that are strictly necessary, meaning they are necessary for the site to function properly. If you consent to it, we will also set other types of cookies. You can provide or withdraw your consent to the different types of cookies using the toggles below. You can change or withdraw your consent at any time, by clicking the link Manage Cookies , which is always available at the bottom of the site. These cookies are necessary to make the site work properly, and are always set when you visit the site. These cookies collect information to help us understand how the site is being used. These cookies are used to make advertising messages more relevant to you. In some cases, they also deliver additional functions on the site. Accept these cookies Decline all non-necessary cookies Key Account Manager Job Title: Key Account Manager Location: Bengaluru, Karnataka, India Company: Autoliv India Pvt Ltd About Us: Autoliv is the worlds largest automotive safety supplier, committed to saving more lives. With a presence in over 27 countries and a workforce of 65,000 dedicated professionals, we are at the forefront of innovation in automotive safety systems. Our mission is to provide world-class products and solutions that protect and save lives on the road. Role Overview: We are seeking a dynamic and results-driven Key Account Manager to join our team in Bengaluru. In this role, you will be responsible for managing and growing our key accounts, ensuring customer satisfaction, and driving business growth. You will work closely with cross-functional teams to deliver exceptional service and solutions to our clients. Key Responsibilities: Networking with Automobile OEMs and maintain strong relationships with key accounts. Identify and pursue new business opportunities within existing accounts. RFQ management & Quote submission Techno-commercial negotiation (External and Internal) Support Program management and Collaborate with internal teams to ensure timely and successful delivery of our products and services. Monitor market trends and competitor activities to identify growth opportunities. Prepare and present regular reports on account status and performance. Sales Planning Short & Long term Recoveries and receivable management Profitability management. Qualifications: Bachelors degree in Mechanincal Engineering, MBA in Marketing is added advantage. Proven experience as a Key Account Manager. Strong communication and interpersonal skills. Excellent organizational and time-management abilities. Ability to analyze data and make informed decisions. Proficiency in MS Office. Why Join Us: Be part of a global leader in automotive safety. Work in a collaborative and innovative environment. Opportunities for professional growth and development. Competitive salary and benefits package. Autoliv India (INBA) - Bangalore Autoliv India (INBA) - Bangalore Workplace & Culture Culture and Work Environment At Autoliv, the vision of saving more lives guides and motivates our work. With a mission to provide world-class solutions to this end, we constantly seek new ways of working and question existing standards to keep you and your loved ones safe on the road. And we do this through Autolivs key behaviors: Take Ownership Collaborate Add value Make it Easy Be curious. About Autoliv India Autoliv is the worldwide leader in automotive safety systems. Through our group companies, we develop, manufacture and market protective systems, such as airbags, seatbelts, and steering wheels for all major automotive manufacturers in the world as well as mobility safety solutions. At Autoliv, we challenge and redefine the standards of mobility safety to sustainably deliver leading solutions. In 2024, our products saved 37,000 lives and reduced 600,000 injuries. Our ~65,000 colleagues in 25 countries are passionate about our vision of Saving More Lives and quality is at the heart of everything we do. We drive innovation, research, and development at our 13 technical centers, with their 20 test tracks. Founded in 1953 Co-workers 65,000 Turnover 10.4 B USD Already working at Autoliv India Let s recruit together and find your next colleague.

Job description Key Responsibilities Assist in Developing and Deploying Machine Learning Models : Support the development and deployment of machine learning models, including data preprocessing and performance evaluation in Python using sklearn, numpy and other standard libraries. Build and Maintain ML Pipelines : Help build and maintain scalable ML pipelines, and assist in automating model training workflows in Python using MLFlow, Databricks, Sagemaker or equivalent. Collaborate with Cross-Functional Teams : Work with product and data teams to align ML solutions with business needs and objectives. Write Clean and Documented Code : Write clean, well-documented code, following best practices for testing and version control. Use Sphinx and other auto documentation solutions to automate document generation. Support Model Monitoring and Debugging : Assist in monitoring and debugging models to improve their reliability and performance. Participate in Technical Discussions and Knowledge Sharing : Engage in technical discussions, code reviews, and knowledge-sharing sessions to learn and grow within the team. Day-to-Day Activities On a daily basis, you will work closely with senior ML engineers and data scientists to support various stages of the machine learning lifecycle. Your day-to-day activities will include: Data Preprocessing : Cleaning and preparing data for model training, ensuring data quality and consistency. Model Training : Assisting in the training of machine learning models, experimenting with different algorithms and hyperparameters. Performance Evaluation : Evaluating model performance using appropriate metrics and techniques, and identifying areas for improvement. Pipeline Maintenance : Building and maintaining ML pipelines, ensuring they are scalable and efficient. Code Development : Writing and maintaining clean, well-documented code, following best practices for testing and version control. Model Monitoring : Monitoring deployed models to ensure they are performing as expected, and assisting in debugging any issues that arise. Collaboration : Participating in team meetings, sprint planning, and daily stand-ups to stay aligned with project goals and timelines. Sprint and Team Collaboration As part of an agile team, you will participate in sprint planning sessions to define and prioritize tasks for each sprint. You will work on assigned tasks, collaborate with team members to overcome challenges, and provide updates during daily stand-up meetings. At the end of each sprint, you will participate in sprint reviews to demonstrate completed work and gather feedback, as well as sprint retrospectives to discuss what went well and identify areas for improvement. This collaborative environment will provide you with opportunities to learn from experienced team members, contribute to the teams success, and grow your skills as a machine learning engineer. About Experian Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com. Experience and Skills Qualifications Bachelor of Engineering or equivalent 3-5 years experience building data products Python experience Experinece working in cloud environment with one of Databricks, Azure or AWS Additional Information Our uniqueness is that we truly celebrate yours. Experians culture and people are important differentiators. We take our people agenda very seriously and focus on what truly matters; DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experians strong people first approach is award winning; Great Place To Work in 24 countries, FORTUNE Best Companies to work and Glassdoor Best Places to Work (globally 4.4 Stars) to name a few. Check out Experian Life on social or our Careers Site to understand why. Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is a critical part of Experians DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, color, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity. Experian Careers - Creating a better tomorrow together Benefits Experian care for employees work life balance, health, safety and wellbeing. In support of this endeavor, we offer best-in-class family well-being benefits, enhanced medical benefits and paid time off. Experian Careers - Creating a better tomorrow together Find out what its like to work for Experian by clicking here

Orion Innovation is a premier, award-winning, global business and technology services firm. Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design, and engineering, with a unique combination of agility, scale, and maturity. We work with a wide range of clients across many industries including financial services, professional services, telecommunications and media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, ecommerce, and education. Job Description: We are seeking a talented and experienced DevOps Engineer with a strong background in shell scripting, GitLab, Jenkins, OpenShift, Rundeck & Harness. The ideal candidate will be responsible for implementing, maintaining, and supporting the development and production infrastructure to enable continuous integration and delivery pipelines. Key Responsibilities: Develop and maintain automated build and deployment pipelines using Jenkins. Utilize GitLab for version control and code repository management. Implement and infrastructure provisioning and management using OpenShift. Automate operational processes and tasks through shell scripting and hands-on with Ansible. Collaborate with software development and IT teams to ensure smooth delivery and efficient production environment. Experience in bash scripting Experience Level: 5 to 7 years Kindly note this is 5 days work from office role Orion is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, citizenship status, disability status, genetic information, protected veteran status, or any other characteristic protected by law. Candidate Privacy Policy Orion Systems Integrators, LLC and its subsidiaries and its affiliates (collectively, Orion, we or us ) are committed to protecting your privacy. This Candidate Privacy Policy (orioninc.com) ( Notice ) explains: What information we collect during our application and recruitment process and why we collect it; How we handle that information; and How to access and update that information. Your use of Orion services is governed by any applicable terms in this notice and our general Privacy Policy .

FORVIA HELLA is a listed, international automotive supplier. Coming together with Faurecia in the FORVIA Group, we build the worlds seventh largest supplier of automotive technologies. As a global market leader in high-growth areas, FORVIA employs 157,000 people worldwide. FORVIA HELLA therein stands for high-performance lighting technology and automotive electronics. At the same time, we cover a broad service and product portfolio for the spare parts and workshop business as well as for manufacturers of special vehicles with our Business Group Lifecycle Solutions. With around 37,500 employees at over 125 locations, the Company is active worldwide and generated adjusted sales of 8.1 billion on a preliminary basis in the fiscal year 2023. Being IT business partner in operations questions, concepts, strategic discussions and business process design Design the technical solution, together with the Development Team and Solution Architect when necessary Be a main actor in the system evolution and upgrades. Drive the technical evolution of the module together with the rest of the support chain actors Participate in Problem Management to solve repetitive/critical issues with the rest of the actors of the support chain. Support, preparing and handling of trainings for the operating departments, key-user, L2 team etc Close collaboration with modules SD, WM, EWM, FICO, QM and other related modules Developing of concepts for optimization of the Purchasing processes in collaboration with the operating department. (digitalization and process standardization and automatization with innovative solutions) Support, consulting in questions for Purchasing processes and application optimization with internal and external customers in the automotive-/ and sales-business (incl. inbound processes) Support and consulting of SAP processes and application optimization in the area of Purchasing with internal customers. Analyzing and correction of errors in the Purchasing modules Close collaboration with modules SD, WM, FICO, QM and other related modules Implementation of Purchasing projects or functionalities, communication with the operating departments, members of the team and consultants having regards to deadlines and capacity. Preparing and implementing test scenarios, as well as preparing decision-related documents and Change Requests in the SAP Purchasing area Customizing of the MM modules in line with the business processes of the companies Creating documentations concerning the Purchasing-processes and system components\ YOUR QUALIFICATIONS Bachelor / Master s degree or equivalent qualification. Min. 5+ years of SAP Purchasing(MM) configuration and process experience Detailed knowledge in MM-customizing, SAP S/4 knowhow, FIORI apps are an advantage Knowledge on other modules such as ARIBA is a plus Knowledge of automotive industry and manufacturing processes is a plus

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. We are looking for a highly skilled Senior Snowflake DBA to lead the administration, performance tuning, and governance of our enterprise Snowflake environment. This role will play a critical part in ensuring the availability, security, and scalability of our cloud data platform, while enabling high-performance analytics and data science across business units Responsibilities 1. Snowflake Platform Administration Manage and monitor Snowflake environments, including warehouse performance, query optimization, and user access. Configure and administer virtual warehouses, roles, databases, schemas, and storage. Oversee resource usage and cost optimization across the platform. 2. Security, Access Control & Governance Implement and maintain role-based access control (RBAC) and data masking/tokenization in accordance with governance and compliance policies. Enforce data security standards, including audit logging, object access tracking, and integration with identity providers (e.g., Okta, Azure AD). Support data privacy and regulatory compliance (e.g., GDPR, HIPAA, SOX) through appropriate controls. 3. Performance Optimization & Monitoring Monitor and fine-tune query performance, storage usage, and compute resource allocation. Leverage Snowflakes Query Profile and Resource Monitors to proactively identify performance bottlenecks and anomalies. Collaborate with data engineering and BI teams to optimize data pipelines and workloads. 4. Platform Support & Incident Management Provide expert-level support for platform incidents, access issues, and job failures. Define and manage backup, recovery, and disaster recovery strategies for Snowflake data and objects. Maintain environmental health and proactively resolve errors or capacity constraints. 5. Automation, Integration & Upgrades Build or enhance automation scripts for provisioning, monitoring, and maintenance (e.g., using Python, dbt, Terraform). Integrate Snowflake with BI tools, orchestration tools (e.g., Matillion, Airflow), and data catalogs. Stay updated on Snowflake releases and evaluate new features for enterprise readiness. Qualifications Careers Privacy Statement ***Keysight is an Equal Opportunity Employer.**Required: 5+ years of database administration experience, with at least 3 years focused on Snowflake. Deep knowledge of SQL, Snowflake architecture, and cloud-based data ecosystems (AWS, Azure, or GCP). Experience implementing RBAC, data masking, and governed access models. Strong understanding of query tuning, cost management, and warehouse scaling strategies. Experience with monitoring tools (e.g., Snowflake Usage Views, third-party monitoring, or custom solutions). Preferred: Snowflake certification(s) (e.g., SnowPro Advanced: Architect or Administrator). Familiarity with data pipeline tools (Matillion, dbt, Fivetran), orchestration (Airflow), and cataloging (Alation, Collibra). Exposure to data engineering, BI, or AI/ML workflows within Snowflake. Scripting experience in Python, Bash, or Infrastructure-as-Code (e.g., Terraform). 1. Snowflake Platform Administration Manage and monitor Snowflake environments, including warehouse performance, query optimization, and user access. Configure and administer virtual warehouses, roles, databases, schemas, and storage. Oversee resource usage and cost optimization across the platform. 2. Security, Access Control & Governance Implement and maintain role-based access control (RBAC) and data masking/tokenization in accordance with governance and compliance policies. Enforce data security standards, including audit logging, object access tracking, and integration with identity providers (e.g., Okta, Azure AD). Support data privacy and regulatory compliance (e.g., GDPR, HIPAA, SOX) through appropriate controls. 3. Performance Optimization & Monitoring Monitor and fine-tune query performance, storage usage, and compute resource allocation. Leverage Snowflakes Query Profile and Resource Monitors to proactively identify performance bottlenecks and anomalies. Collaborate with data engineering and BI teams to optimize data pipelines and workloads. 4. Platform Support & Incident Management Provide expert-level support for platform incidents, access issues, and job failures. Define and manage backup, recovery, and disaster recovery strategies for Snowflake data and objects. Maintain environmental health and proactively resolve errors or capacity constraints. 5. Automation, Integration & Upgrades Build or enhance automation scripts for provisioning, monitoring, and maintenance (e.g., using Python, dbt, Terraform). Integrate Snowflake with BI tools, orchestration tools (e.g., Matillion, Airflow), and data catalogs. Stay updated on Snowflake releases and evaluate new features for enterprise readiness.

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. We are looking for a Senior Data Engineer with deep expertise in Snowflake and strong functional understanding of one or more areas: Sales, Service, Order Fulfillment, Supply Chain, and Finance operations. This role will lead the development of scalable, trusted data pipelines that serve as the foundation for enterprise-wide analytics. You will work closely with stakeholders across these domains to design and deliver integrated data products sourced from platforms like Oracle Fusion Cloud, Salesforce, and other business systems Responsibilities 1. Enterprise Data Engineering with Snowflake Build and manage robust ELT pipelines in Snowflake to unify data from Oracle Fusion Cloud, Salesforce, ERP, CRM, and operational systems. Design curated data models to support KPIs across Sales (pipeline, conversion), Service (case resolution, renewals), Order Fulfillment (OTD, backlog), Supply Chain (inventory, procurement), and Finance (revenue, cost, forecasting). Ensure high performance and scalability through warehouse tuning, modular architecture, and cost optimization. 2. Cross-Functional Partnership Collaborate with business leaders in Sales, Customer Service, Finance, Fulfillment, and Supply Chain to gather requirements and translate them into actionable, scalable data solutions. Build shared data assets that support 360 customer views, quote-to-cash analysis, forecast accuracy, supplier performance, and working capital insights. Enable real-time operational reporting and decision-making across functions. 3. Oracle Fusion Cloud Integration Lead data integration efforts for Oracle Fusion Cloud modules including Finance (GL, AP, AR, Projects), SCM (Procurement, Inventory, Order Management), and Service Contracts. Transform Fusion data into analytics-ready formats with reliable metadata, handling complex joins, hierarchies, and time-based calculations. Develop automated pipelines using BICC extracts, APIs, and third-party tools for continuous ingestion and enrichment. 4. Data Governance, Security, and Access Control Implement role-based access, data masking, and security controls tailored to the needs of Finance, Sales, and Operations users. Ensure consistency in business logic and terminology by contributing to a shared data dictionary, metrics glossary, and lineage documentation. Champion data quality, validation, and auditability across all functional domains. Qualifications Careers Privacy Statement ***Keysight is an Equal Opportunity Employer.**Required: 7+ years of experience in data engineering, including 3+ years working with Snowflake. Strong hands-on experience integrating and modeling data from Oracle Fusion Cloud, particularly in Finance, SCM, and Order Management modules. Functional understanding of Sales, Customer Service, Fulfillment, Supply Chain, and Financial processes. Proficient in SQL, and ELT tools such as dbt, Fivetran, or Matillion. Demonstrated ability to work with complex data transformations, large-scale datasets, and cross-domain integration. Preferred: Snowflake SnowPro Certification. Experience with Salesforce, Oracle Analytics Cloud, or similar tools. Familiarity with FP&A tools, Supply Chain platforms, and customer support systems (ServiceNow, Zendesk). Background in supporting executive reporting, real-time operational dashboards, and predictive analytics. 1. Enterprise Data Engineering with Snowflake Build and manage robust ELT pipelines in Snowflake to unify data from Oracle Fusion Cloud, Salesforce, ERP, CRM, and operational systems. Design curated data models to support KPIs across Sales (pipeline, conversion), Service (case resolution, renewals), Order Fulfillment (OTD, backlog), Supply Chain (inventory, procurement), and Finance (revenue, cost, forecasting). Ensure high performance and scalability through warehouse tuning, modular architecture, and cost optimization. 2. Cross-Functional Partnership Collaborate with business leaders in Sales, Customer Service, Finance, Fulfillment, and Supply Chain to gather requirements and translate them into actionable, scalable data solutions. Build shared data assets that support 360 customer views, quote-to-cash analysis, forecast accuracy, supplier performance, and working capital insights. Enable real-time operational reporting and decision-making across functions. 3. Oracle Fusion Cloud Integration Lead data integration efforts for Oracle Fusion Cloud modules including Finance (GL, AP, AR, Projects), SCM (Procurement, Inventory, Order Management), and Service Contracts. Transform Fusion data into analytics-ready formats with reliable metadata, handling complex joins, hierarchies, and time-based calculations. Develop automated pipelines using BICC extracts, APIs, and third-party tools for continuous ingestion and enrichment. 4. Data Governance, Security, and Access Control Implement role-based access, data masking, and security controls tailored to the needs of Finance, Sales, and Operations users. Ensure consistency in business logic and terminology by contributing to a shared data dictionary, metrics glossary, and lineage documentation. Champion data quality, validation, and auditability across all functional domains.

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. We are seeking a Lead Data Engineer with deep expertise in Snowflake and strong functional knowledge of Finance data to architect and deliver trusted, high-performing data products that support financial reporting, forecasting, planning, and compliance. In this role, you will work closely with Finance, FP&A, and Accounting teams to build pipelines and models that enable timely, data-driven decision-making. Responsibilities 1. Snowflake Platform & Pipeline Ownership Design and build robust ELT pipelines in Snowflake to integrate financial data from ERP systems (e.g., Oracle, SAP), billing platforms, and planning tools. Deliver clean, well-modeled financial data marts for P&L analysis, cash flow, variance analysis, forecasting, and budget tracking. Optimize Snowflake usage with efficient schema design, warehouse tuning, and compute/storage cost management. 2. Functional Partnership with Finance Teams Collaborate with Finance, FP&A, and Accounting stakeholders to understand business processes, reporting requirements, and data dependencies. Support financial reporting cycles (monthly close, audits, forecast submissions) by ensuring timely, reliable data pipelines. Translate complex financial logic such as allocations, consolidations, and time-based adjustments into scalable data transformations. 3. Data Governance, Quality & Controls Implement role-based access control, secure data zones, and masking policies to manage sensitive financial and employee data. Partner with Data Governance teams to maintain data dictionaries, financial definitions, lineage documentation, and audit trails. Apply rigorous data quality checks to ensure the integrity of financial metrics used in dashboards, planning models, and reports. 4. Technical Leadership & Best Practices Lead the adoption of modern data engineering frameworks using tools like dbt, Matillion, and CI/CD pipelines for Snowflake. Mentor junior engineers and analysts on SQL optimization, data modeling for finance, and best practices for code reuse and maintainability. Drive continuous improvement in pipeline reliability, monitoring, and performance tuning. 5. Integration Across Finance Tech Stack Integrate Snowflake with FP&A tools (e.g., Onestream) and BI/reporting platforms (e.g., Tableau, Power BI, Microstrategy). Build reusable financial data products that serve multiple use cases planning, tax, audit, compliance, and executive dashboards. Qualifications Careers Privacy Statement ***Keysight is an Equal Opportunity Employer.**Required: 5+ years of experience in data engineering, with at least 3 years working with Snowflake. Proven experience with financial data domains including GL, AR, AP, P&L, balance sheet, and forecasting. Strong SQL skills and hands-on experience with dbt, Matillion, or other ELT tools. Integration experience with ERP systems (Oracle, SAP, NetSuite) and other financial tools. Solid understanding of data modeling, cost controls, and platform performance optimization. Preferred: Snowflake SnowPro Certification. Familiarity with SOX, GAAP, or audit-related data requirements. Experience supporting FP&A, Treasury, or Controllership teams. Knowledge of financial hierarchy management, time-series modeling, and period-based aggregation logic. 1. Snowflake Platform & Pipeline Ownership Design and build robust ELT pipelines in Snowflake to integrate financial data from ERP systems (e.g., Oracle, SAP), billing platforms, and planning tools. Deliver clean, well-modeled financial data marts for P&L analysis, cash flow, variance analysis, forecasting, and budget tracking. Optimize Snowflake usage with efficient schema design, warehouse tuning, and compute/storage cost management. 2. Functional Partnership with Finance Teams Collaborate with Finance, FP&A, and Accounting stakeholders to understand business processes, reporting requirements, and data dependencies. Support financial reporting cycles (monthly close, audits, forecast submissions) by ensuring timely, reliable data pipelines. Translate complex financial logic such as allocations, consolidations, and time-based adjustments into scalable data transformations. 3. Data Governance, Quality & Controls Implement role-based access control, secure data zones, and masking policies to manage sensitive financial and employee data. Partner with Data Governance teams to maintain data dictionaries, financial definitions, lineage documentation, and audit trails. Apply rigorous data quality checks to ensure the integrity of financial metrics used in dashboards, planning models, and reports. 4. Technical Leadership & Best Practices Lead the adoption of modern data engineering frameworks using tools like dbt, Matillion, and CI/CD pipelines for Snowflake. Mentor junior engineers and analysts on SQL optimization, data modeling for finance, and best practices for code reuse and maintainability. Drive continuous improvement in pipeline reliability, monitoring, and performance tuning. 5. Integration Across Finance Tech Stack Integrate Snowflake with FP&A tools (e.g., Onestream) and BI/reporting platforms (e.g., Tableau, Power BI, Microstrategy). Build reusable financial data products that serve multiple use cases planning, tax, audit, compliance, and executive dashboards.

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. We are seeking a Senior Machine Learning Engineer to lead the design, development, and deployment of scalable machine learning models that power business decisions across the enterprise. This role combines technical depth in ML/AI with a strong understanding of business domains such as Sales, Service, Finance, Order Fulfillment, and Supply Chain. You will collaborate closely with Data Scientists, Data Engineers, and business partners to build production-ready solutions that drive measurable impact. Responsibilities 1. Machine Learning Development & Deployment Design and implement supervised and unsupervised models for predictive analytics, including churn prediction, demand forecasting, renewal risk scoring, and cross-sell/upsell opportunity identification. Translate business problems into ML frameworks and production solutions that improve efficiency, revenue, or customer experience. Build, optimize, and maintain ML pipelines using tools such as MLflow, Airflow, or Kubeflow. 2. Cross-Functional ML Use Cases Partner with teams across Sales (e.g., lead scoring, next-best action), Customer Service (e.g., case deflection, sentiment analysis), Finance (e.g., revenue forecasting, fraud detection), Supply Chain (e.g., inventory optimization, ETA prediction), and Order Fulfillment (e.g., delivery risk modeling) to define impactful ML use cases. Develop domain-specific models and continuously improve them using feedback loops and real-world performance data. 3. Model Governance and MLOps Ensure robust model monitoring, versioning, and retraining strategies to keep models reliable in dynamic environments. Work closely with DevOps and Data Engineering teams to automate deployment, CI/CD workflows, and cloud-native ML infrastructure (AWS/GCP/Azure). 4. Data Engineering and Feature Architecture Collaborate with data engineers to define feature stores, data quality checks, and model-ready datasets on platforms like Snowflake or Databricks. Perform feature selection, transformation, and engineering aligned with each domain s business logic. 5. Communication & Stakeholder Collaboration Present technical insights and model results to business and executive stakeholders in a clear, actionable format. Work with Product Owners and Program Managers to scope, prioritize, and plan delivery of ML projects. Qualifications Required: 7+ years of experience in machine learning, data science, or AI engineering, with a strong software engineering foundation. Proficiency in Python, and libraries such as scikit-learn, XGBoost, PyTorch, TensorFlow, or similar. Experience deploying models into production using ML pipelines and orchestration frameworks. Strong understanding of data structures, SQL, and cloud platforms (e.g., AWS SageMaker, Azure ML, or GCP Vertex AI). Experience with tools like Datarobot or Dataiku Preferred: Experience supporting business functions such as Finance, Sales, or Operations with ML use cases. Familiarity with MLOps tools (MLflow, SageMaker Pipelines, Feature Store). Exposure to enterprise data platforms (e.g., Snowflake, Oracle Fusion, Salesforce). Background in statistics, forecasting, optimization, or recommendation systems. Careers Privacy Statement ***Keysight is an Equal Opportunity Employer.**1. Machine Learning Development & Deployment Design and implement supervised and unsupervised models for predictive analytics, including churn prediction, demand forecasting, renewal risk scoring, and cross-sell/upsell opportunity identification. Translate business problems into ML frameworks and production solutions that improve efficiency, revenue, or customer experience. Build, optimize, and maintain ML pipelines using tools such as MLflow, Airflow, or Kubeflow. 2. Cross-Functional ML Use Cases Partner with teams across Sales (e.g., lead scoring, next-best action), Customer Service (e.g., case deflection, sentiment analysis), Finance (e.g., revenue forecasting, fraud detection), Supply Chain (e.g., inventory optimization, ETA prediction), and Order Fulfillment (e.g., delivery risk modeling) to define impactful ML use cases. Develop domain-specific models and continuously improve them using feedback loops and real-world performance data. 3. Model Governance and MLOps Ensure robust model monitoring, versioning, and retraining strategies to keep models reliable in dynamic environments. Work closely with DevOps and Data Engineering teams to automate deployment, CI/CD workflows, and cloud-native ML infrastructure (AWS/GCP/Azure). 4. Data Engineering and Feature Architecture Collaborate with data engineers to define feature stores, data quality checks, and model-ready datasets on platforms like Snowflake or Databricks. Perform feature selection, transformation, and engineering aligned with each domain s business logic. 5. Communication & Stakeholder Collaboration Present technical insights and model results to business and executive stakeholders in a clear, actionable format. Work with Product Owners and Program Managers to scope, prioritize, and plan delivery of ML projects.

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. We are seeking a Senior Data Product Owner to drive the development and delivery of Predictive and Generative AI data products that enable sales growth, improve customer retention, and identify strategic opportunities. This role sits at the intersection of business and data, and is responsible for aligning predictive modeling capabilities with real-world business outcomes by defining requirements, managing priorities, and ensuring adoption across teams. Responsibilities 1. Product Ownership & Roadmap Execution Define and manage the product roadmap for predictive insights across Sales, Marketing, Product, and Customer Success. Translate business needs into product features and data capabilities focused on churn prediction, cross-sell/upsell opportunities, and new logo identification. 2. Business Alignment & Stakeholder Engagement Act as the primary liaison between business stakeholders and technical/data teams. Partner with Sales leaders to ensure predictive insights are directly integrated into Salesforce and other frontline tools. Gather feedback and continuously refine product features to maximize business value. Monitor Generative AI experience to ensure explainability, accuracy, response time and user satisfaction 3. Predictive Insight Enablement Ensure delivery of actionable insights to business units, helping them identify and act on growth opportunities, competitive threats, and customer risk factors. Support the development of Product Line Maps that quantify $ opportunity by business unit or industry. 4. Data Integration & Delivery Coordinate with technical teams to ensure predictive models are properly integrated into existing systems (e.g., SFDC) and surfaced in a business-consumable format. Prioritize delivery features that support proactive customer engagement and renewal risk mitigation. 5. Adoption, Feedback & Iteration Monitor usage, effectiveness, and business outcomes of data products. Run feedback loops with users to enhance product functionality and adoption. Champion data literacy and work closely with enablement teams to support training and onboarding. Qualifications Careers Privacy Statement ***Keysight is an Equal Opportunity Employer.**Required: 5-8 years of experience in data product management, business analytics, or sales operations. Proven success in defining and delivering data products that support sales, customer success, or marketing teams. Strong understanding of predictive analytics concepts (e.g., churn modeling, opportunity scoring). Experience working with tools such as Salesforce, Power BI/Tableau, and data platforms like Snowflake or similar. Preferred: Background in B2B, SaaS, or high-tech environments. Familiarity with agile product development and tools like JIRA Ability to translate business questions into structured data product features. 1. Product Ownership & Roadmap Execution Define and manage the product roadmap for predictive insights across Sales, Marketing, Product, and Customer Success. Translate business needs into product features and data capabilities focused on churn prediction, cross-sell/upsell opportunities, and new logo identification. 2. Business Alignment & Stakeholder Engagement Act as the primary liaison between business stakeholders and technical/data teams. Partner with Sales leaders to ensure predictive insights are directly integrated into Salesforce and other frontline tools. Gather feedback and continuously refine product features to maximize business value. Monitor Generative AI experience to ensure explainability, accuracy, response time and user satisfaction 3. Predictive Insight Enablement Ensure delivery of actionable insights to business units, helping them identify and act on growth opportunities, competitive threats, and customer risk factors. Support the development of Product Line Maps that quantify $ opportunity by business unit or industry. 4. Data Integration & Delivery Coordinate with technical teams to ensure predictive models are properly integrated into existing systems (e.g., SFDC) and surfaced in a business-consumable format. Prioritize delivery features that support proactive customer engagement and renewal risk mitigation. 5. Adoption, Feedback & Iteration Monitor usage, effectiveness, and business outcomes of data products. Run feedback loops with users to enhance product functionality and adoption. Champion data literacy and work closely with enablement teams to support training and onboarding.

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. We are seeking a Senior Data Engineer with deep expertise in Snowflake and strong functional knowledge of Supply Chain and Order Fulfillment, including experience integrating data from Oracle Fusion Cloud applications. In this role, you will architect and deliver scalable, trusted data solutions that power analytics across procurement, inventory, logistics, and fulfillment. Youll collaborate with key business and technology stakeholders to optimize supply chain performance through clean, well-governed data. Responsibilities 1. Snowflake-Centric Data Engineering Design and implement robust, scalable ELT pipelines in Snowflake to ingest and process data from Oracle Fusion Cloud (SCM, Procurement, Inventory, Order Management) and other relevant systems. Build and optimize data models that support key supply chain KPIs such as on-time delivery, inventory turns, order cycle time, and supplier performance. Ensure high performance of pipelines and queries through warehouse tuning, partitioning, and Snowflake best practices. 2. Functional Collaboration - Supply Chain & Fulfillment Partner with Procurement, Logistics, Fulfillment, and Supply Chain Planning teams to gather requirements and deliver usable, accurate data products. Enable visibility and analytics across the order-to-ship and procure-to-pay lifecycles, with special emphasis on real-time inventory visibility, order tracking, and supplier management. Translate operational needs into scalable, automated pipelines for daily reporting, exception alerts, and long-range planning. 3. Oracle Fusion Cloud Integration Lead the integration of Oracle Fusion Cloud data models into Snowflake, ensuring proper handling of complex business hierarchies, metadata, and financial controls. Understand Fusion data structures, including subject areas for Purchase Orders, Shipments, Inventory, Costing, and Invoices, and transform them into accessible formats for analytics and forecasting. Troubleshoot and optimize ELT jobs sourced from Fusion s APIs, BICC extracts, or database connectors. 4. Data Governance, Quality & Access Control Implement role-based access controls, data masking, and auditing to protect sensitive supplier, pricing, and order data. Define and enforce standards for data quality checks, lineage tracking, and semantic consistency across global supply chain functions. Contribute to the creation of data dictionaries, metrics catalogs, and documentation aligned with supply chain and fulfillment teams. Qualifications Careers Privacy Statement ***Keysight is an Equal Opportunity Employer.**Required: 7+ years of experience in data engineering, including 3+ years with Snowflake architecture and development. Hands-on experience integrating with Oracle Fusion Cloud (SCM, Procurement, Inventory, or OM modules). Strong SQL and Python skills, and familiarity with ELT tools like dbt, Matillion, Fivetran, or equivalent. Deep understanding of supply chain and fulfillment data domains, including key metrics and operational processes. Demonstrated ability to model complex transactional and hierarchical data structures for analytics consumption. Preferred: Snowflake SnowPro Certification. Experience with real-time data integration or event-based pipelines. Familiarity with supply chain planning tools and logistics platforms Exposure to data visualization and reporting tools such as Tableau or Power BI. 1. Snowflake-Centric Data Engineering Design and implement robust, scalable ELT pipelines in Snowflake to ingest and process data from Oracle Fusion Cloud (SCM, Procurement, Inventory, Order Management) and other relevant systems. Build and optimize data models that support key supply chain KPIs such as on-time delivery, inventory turns, order cycle time, and supplier performance. Ensure high performance of pipelines and queries through warehouse tuning, partitioning, and Snowflake best practices. 2. Functional Collaboration - Supply Chain & Fulfillment Partner with Procurement, Logistics, Fulfillment, and Supply Chain Planning teams to gather requirements and deliver usable, accurate data products. Enable visibility and analytics across the order-to-ship and procure-to-pay lifecycles, with special emphasis on real-time inventory visibility, order tracking, and supplier management. Translate operational needs into scalable, automated pipelines for daily reporting, exception alerts, and long-range planning. 3. Oracle Fusion Cloud Integration Lead the integration of Oracle Fusion Cloud data models into Snowflake, ensuring proper handling of complex business hierarchies, metadata, and financial controls. Understand Fusion data structures, including subject areas for Purchase Orders, Shipments, Inventory, Costing, and Invoices, and transform them into accessible formats for analytics and forecasting. Troubleshoot and optimize ELT jobs sourced from Fusion s APIs, BICC extracts, or database connectors. 4. Data Governance, Quality & Access Control Implement role-based access controls, data masking, and auditing to protect sensitive supplier, pricing, and order data. Define and enforce standards for data quality checks, lineage tracking, and semantic consistency across global supply chain functions. Contribute to the creation of data dictionaries, metrics catalogs, and documentation aligned with supply chain and fulfillment teams.

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. We are seeking a skilled Tableau / Power BI Developer to design, develop, and maintain interactive dashboards, reports, and data visualizations that enable data-driven decision-making across the organization. The ideal candidate will combine a strong understanding of data structures with excellent visual storytelling and stakeholder collaboration skills. Responsibilities 1. Dashboard & Report Development Design and develop interactive, user-friendly dashboards and reports using Tableau and/or Power BI. Translate business requirements into compelling visualizations that highlight trends, KPIs, and actionable insights. Optimize dashboards for performance, scalability, and usability. 2. Data Modeling & Preparation Build robust data models and transform datasets using Power BI DAX, Power Query, and Tableau data prep tools. Collaborate with data engineers to ensure high-quality, curated, and governed data sources are used. 3. Business Engagement Work closely with business stakeholders to gather requirements, iterate on design, and deliver meaningful insights. Provide guidance on self-service BI and support users in leveraging dashboards effectively. 4. Maintenance & Documentation Maintain and enhance existing reports, dashboards, and data sources. Ensure thorough documentation of data logic, visualizations, and data lineage. 5. Quality, Governance & Standards Ensure visualizations follow enterprise design standards, data governance, and security protocols. Apply version control, testing, and deployment best practices. Qualifications Careers Privacy Statement ***Keysight is an Equal Opportunity Employer.**Required: 5+ years of experience developing dashboards and data models using Tableau and/or Power BI. Proficiency in SQL and experience working with cloud data platforms (e.g., Snowflake, Redshift, BigQuery). Strong skills in data visualization best practices and data storytelling. Familiarity with DAX, Power Query, and Tableau s calculated fields and LOD expressions. Experience working in Agile or fast-paced environments with business stakeholders. Preferred: Exposure to enterprise systems such as Salesforce, Oracle ERP, or SAP. Experience with Row-Level Security (RLS), performance tuning, and dashboard usage monitoring. Knowledge of Tableau Server or Power BI Service for publishing, scheduling, and managing content. 1. Dashboard & Report Development Design and develop interactive, user-friendly dashboards and reports using Tableau and/or Power BI. Translate business requirements into compelling visualizations that highlight trends, KPIs, and actionable insights. Optimize dashboards for performance, scalability, and usability. 2. Data Modeling & Preparation Build robust data models and transform datasets using Power BI DAX, Power Query, and Tableau data prep tools. Collaborate with data engineers to ensure high-quality, curated, and governed data sources are used. 3. Business Engagement Work closely with business stakeholders to gather requirements, iterate on design, and deliver meaningful insights. Provide guidance on self-service BI and support users in leveraging dashboards effectively. 4. Maintenance & Documentation Maintain and enhance existing reports, dashboards, and data sources. Ensure thorough documentation of data logic, visualizations, and data lineage. 5. Quality, Governance & Standards Ensure visualizations follow enterprise design standards, data governance, and security protocols. Apply version control, testing, and deployment best practices.

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. We are seeking a Senior Data Engineer with strong expertise in Snowflake and functional knowledge of Sales and Services data domains to help us build scalable, trusted data products that enable sales optimization, customer success, and services transformation. You ll lead the design and development of high-performance data pipelines supporting critical use cases like sales forecasting, renewals, churn prediction, cross-sell/upsell insights, and field service analytics. Responsibilities 1. Snowflake Platform & Pipeline Development Lead the architecture and development of robust, scalable ELT pipelines in Snowflake to integrate data across Sales (e.g., Salesforce), Services, Customer, and Financial systems. Build data models and marts to support customer 360 views, sales pipeline tracking, renewal performance, and service operations metrics. Partner with analytics teams to ensure data structures support predictive modeling, segmentation, and opportunity scoring. 2. Functional Understanding & Business Partnership Work closely with Sales Ops, Service Ops, and Customer Success teams to translate business needs into scalable Snowflake-based data solutions. Understand key sales metrics (e.g., bookings, pipeline, win rate, renewal rate) and service KPIs (e.g., resolution time, service attach rate) to drive relevant data designs. Lead workshops with functional stakeholders to gather requirements, prioritize data assets, and define SLA-based deliverables. 3. Data Modeling & Performance Optimization Design performant and reusable data models tailored for sales forecasting, churn risk analysis, and services coverage optimization. Tune Snowflake compute and storage performance using Warehouse scaling, Resource Monitors, and Query Profiles. Apply cost governance practices to monitor and optimize platform efficiency. 4. Governance, Quality & Security Implement and manage RBAC, secure views, and data masking policies to ensure only authorized access to sensitive sales/customer/service data. Work with governance teams to maintain trusted data dictionaries, lineage, and quality rules across domains like lead-to-cash, case management, and customer entitlements. Support compliance with privacy regulations (e.g., GDPR) across customer and engagement data. Qualifications Careers Privacy Statement ***Keysight is an Equal Opportunity Employer.**Required: 5+ years of experience in data engineering, with 3+ years focused on Snowflake development and architecture. Strong understanding of Sales and Services business processes, KPIs, and data flows (e.g., CRM, CPQ, renewals, service cases). Proficiency in SQL, Python, and modern ELT tools such as Matillion, dbt, or Fivetran. Proven experience integrating Snowflake with Salesforce, ERP, and service ticketing systems. Hands-on experience with data modeling, data quality frameworks, and cloud-based pipeline orchestration. Preferred: Snowflake SnowPro Certification. Experience working in Agile/Scrum teams supporting Sales Operations, Customer Success, or Field Service functions. Familiarity with BI/analytics tools like Tableau or Power BI and their integration with Snowflake. Exposure to predictive use cases like churn modeling, account scoring, and customer segmentation. 1. Snowflake Platform & Pipeline Development Lead the architecture and development of robust, scalable ELT pipelines in Snowflake to integrate data across Sales (e.g., Salesforce), Services, Customer, and Financial systems. Build data models and marts to support customer 360 views, sales pipeline tracking, renewal performance, and service operations metrics. Partner with analytics teams to ensure data structures support predictive modeling, segmentation, and opportunity scoring. 2. Functional Understanding & Business Partnership Work closely with Sales Ops, Service Ops, and Customer Success teams to translate business needs into scalable Snowflake-based data solutions. Understand key sales metrics (e.g., bookings, pipeline, win rate, renewal rate) and service KPIs (e.g., resolution time, service attach rate) to drive relevant data designs. Lead workshops with functional stakeholders to gather requirements, prioritize data assets, and define SLA-based deliverables. 3. Data Modeling & Performance Optimization Design performant and reusable data models tailored for sales forecasting, churn risk analysis, and services coverage optimization. Tune Snowflake compute and storage performance using Warehouse scaling, Resource Monitors, and Query Profiles. Apply cost governance practices to monitor and optimize platform efficiency. 4. Governance, Quality & Security Implement and manage RBAC, secure views, and data masking policies to ensure only authorized access to sensitive sales/customer/service data. Work with governance teams to maintain trusted data dictionaries, lineage, and quality rules across domains like lead-to-cash, case management, and customer entitlements. Support compliance with privacy regulations (e.g., GDPR) across customer and engagement data.

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. We are looking for a Manager - AI & Machine Learning Engineering to lead a team of ML engineers in developing and deploying high-impact machine learning solutions across core enterprise functions including Sales, Service, Finance, Order Fulfillment, and Supply Chain. This role requires a strong mix of technical leadership, people management, and strategic alignment to guide ML engineers from ideation through production deployment. You ll play a key role in shaping the AI/ML delivery roadmap, establishing scalable engineering practices, and driving value through predictive models integrated into critical business workflows. Responsibilities 1. Team Leadership and Talent Development Manage, coach, and grow a high-performing team of machine learning engineers, promoting a culture of innovation, collaboration, and continuous learning. Provide technical direction, architectural oversight, and career mentorship. Define team objectives and success metrics aligned with enterprise priorities. 2. Program Execution and Delivery Drive the successful execution of ML use cases such as customer churn prediction, upsell opportunity scoring, demand forecasting, and operational risk detection. Work closely with data science, data engineering, product, and business stakeholders to define and deliver scalable ML solutions. Oversee delivery timelines, model development, deployment readiness, and feedback integration. 3. ML Engineering and MLOps Strategy Establish best practices in model development, deployment, and monitoring, using tools like MLflow, SageMaker, Azure ML, Airflow, or Kubeflow. Guide the team in implementing CI/CD for ML pipelines, model versioning, feature stores, and performance monitoring. Champion a strong foundation in software engineering, code quality, and reusability in ML development. 4. Functional & Cross-Domain Focus Align ML efforts with key business domains such as Sales (lead scoring, renewals), Service (case triage), Finance (forecasting), Order Fulfillment (ETA, risk), and Supply Chain (inventory planning, logistics optimization). Collaborate with business owners to prioritize high-impact ML use cases and ensure adoption and value realization. 5. Technology & Architecture Oversight Partner with data platform and infrastructure teams to scale ML solutions using Snowflake, Datarobots, and enterprise cloud platforms (AWS, Azure, GCP). Ensure ML models integrate seamlessly with business systems such as Salesforce, Oracle Fusion Cloud, and other operational tools. Qualifications Careers Privacy Statement ***Keysight is an Equal Opportunity Employer.**Required: 8+ years of experience in machine learning, data science, or engineering roles, with 3+ years in a technical leadership or management capacity. Proven experience building and deploying machine learning solutions in production environments. Hands-on background with Python, ML frameworks (scikit-learn, PyTorch, TensorFlow), and orchestration tools. Strong understanding of MLOps practices, model lifecycle management, and pipeline automation. Experience working with cross-functional stakeholders to deliver ML-powered business solutions. Preferred: Experience supporting business functions such as Sales, Finance, or Supply Chain with applied ML. Familiarity with cloud platforms (AWS, Azure, or GCP) and enterprise data tools (Snowflake, dbt, Matillion). Exposure to enterprise platforms such as Oracle Fusion Cloud, Salesforce, or ServiceNow. 1. Team Leadership and Talent Development Manage, coach, and grow a high-performing team of machine learning engineers, promoting a culture of innovation, collaboration, and continuous learning. Provide technical direction, architectural oversight, and career mentorship. Define team objectives and success metrics aligned with enterprise priorities. 2. Program Execution and Delivery Drive the successful execution of ML use cases such as customer churn prediction, upsell opportunity scoring, demand forecasting, and operational risk detection. Work closely with data science, data engineering, product, and business stakeholders to define and deliver scalable ML solutions. Oversee delivery timelines, model development, deployment readiness, and feedback integration. 3. ML Engineering and MLOps Strategy Establish best practices in model development, deployment, and monitoring, using tools like MLflow, SageMaker, Azure ML, Airflow, or Kubeflow. Guide the team in implementing CI/CD for ML pipelines, model versioning, feature stores, and performance monitoring. Champion a strong foundation in software engineering, code quality, and reusability in ML development. 4. Functional & Cross-Domain Focus Align ML efforts with key business domains such as Sales (lead scoring, renewals), Service (case triage), Finance (forecasting), Order Fulfillment (ETA, risk), and Supply Chain (inventory planning, logistics optimization). Collaborate with business owners to prioritize high-impact ML use cases and ensure adoption and value realization. 5. Technology & Architecture Oversight Partner with data platform and infrastructure teams to scale ML solutions using Snowflake, Datarobots, and enterprise cloud platforms (AWS, Azure, GCP). Ensure ML models integrate seamlessly with business systems such as Salesforce, Oracle Fusion Cloud, and other operational tools.

We use cookies to offer you the best possible website experience. Your cookie preferences will be stored in your browser s local storage. This includes cookies necessary for the websites operation. Additionally, you can freely decide and change any time whether you accept cookies or choose to opt out of cookies to improve the websites performance, as well as cookies used to display content tailored to your interests. Your experience of the site and the services we are able to offer may be impacted if you do not accept all cookies. Modify Cookie Preferences Reject All Cookies Accept All Cookies Search by Postal Code Select how often (in days) to receive an alert: Danfoss Power Electronics and Drives Seg RD, Technology and Engineering Job Description At Danfoss Power Electronics Drives, we are excited to invite a talented Senior Embedded Software Engineer to join our forward-thinking Product Development team. We are searching for a motivated and skilled professional to design, develop, and enhance state-of-the-art embedded systems. In this role, youll have the opportunity to contribute to pioneering products that define the future. This position offers a dynamic work environment where you can tackle intricate challenges and create a meaningful impact through technological innovation. Job Responsibilities Responsibilities for this position include, but are not limited to, the following. Be a member of global team in software development activities in the embedded software area for Danfoss Drives Develop, test, and maintain embedded software for next-generation products and systems. Collaborate closely with cross-functional teams, including hardware engineers, product managers, and other software developers, to define system requirements and design specifications. Prototype and experiment with new ideas, tools, and technologies to drive innovation in embedded systems. Document designs, processes, and test results, ensuring clear and detailed technical records. Stay updated on the latest trends, tools, and techniques in embedded development and contribute to continuous process improvement within the team. Background Skills The ideal candidate should possess the following: Minimum of 6+ years of experience in embedded field. At least 5+ years of experience required in leading large design efforts and coordinating project teams. Expertise in Embedded C programming skills. Good knowledge on C++ Programming skills Experience in developing embedded software for various micro controllers. Expertise in Embedded kernels, bootloaders, system software libraries and device drivers. Experience in Bus communications like CAN, SPI etc., Experience in real-time software design, software hardware interaction with real time operating systems, multithreading, and event driven architectures. Ability to read and interpret engineering drawings Ability to apply principles of logical or scientific thinking to a wide range of intellectual and practical problems. Ability to deal with nonverbal symbolism (formulas, scientific equations, graphs, etc.,) in its most difficult phases. Danfoss Engineering Tomorrow At Danfoss, we are engineering solutions that allow the world to use resources in smarter ways - driving the sustainable transformation of tomorrow. No transformation has ever been started without a group of passionate, dedicated and empowered people. We believe that innovation and great results are driven by the right mix of people with diverse backgrounds, personalities, skills, and perspectives, reflecting the world in which we do business. To make sure the mix of people works, we strive to create an inclusive work environment where people of all backgrounds are treated equally, respected, and valued for who they are. It is a strong priority within Danfoss to improve the health, working environment and safety of our employees. Following our founder s mindset action speaks louder than words , we set ourselves ambitious targets to protect the environment by embarking on a plan to become CO2 neutral latest by 2030. Danfoss engineers solutions that increase machine productivity, reduce emissions, lower energy consumption, and enable electrification. Our solutions are used in such areas as refrigeration, air conditioning, heating, power conversion, motor control, industrial machinery, automotive, marine, and off- and on-highway equipment. We also provide solutions for renewable energy, such as solar and wind power, as well as district-energy infrastructure for cities. Our innovative engineering dates back to 1933. Danfoss is family-owned, employing more than 39.000 people, serving customers in more than 100 countries through a global footprint of 95 factories. Danfoss engineers solutions that increase machine productivity, reduce emissions, lower energy consumption, and enable electrification. Our solutions are used in such areas as refrigeration, air conditioning, heating, power conversion, motor control, industrial machinery, automotive, marine, and off- and on-highway equipment. We also provide solutions for renewable energy, such as solar and wind power, as well as district-energy infrastructure for cities. Our innovative engineering dates back to 1933. Danfoss is family-owned, employing more than 39.360 people, serving customers in more than 100 countries through a global footprint of 95 factories. When you visit any website, it may store or retrieve information on your browser, mostly in the form of cookies. Because we respect your right to privacy, you can choose not to allow some types of cookies. However, blocking some types of cookies may impact your experience of the site and the services we are able to offer. 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Job Title: Consultant - QAD - Techno Functional Job Description Experience in QAD Implementation Must be able to talk Chinese as well as English Work and Support on Complex Technical requirements. Able to build simple solution around standard QAD. Participate in Technical peer reviews and Integration Testing. Prepare weekly / monthly reports read out for small size projects. Contribute towards QAD Tools building. Basic Awareness about Production Orders, Automation Solutions and MSW/PSW. Knowledge of EDI, QXTEND, QRF & ICT. Mentor junior team member and provide feedback. Essential QAD Certifications Development Standards CVC Automotive Practitioner or similar ICT Adaptive Development Desired QAD Certifications EOB Required Technical Competencies QAD Technical Consulting: Understands basic concepts of QAD products and solutions. Able to provide basic technical support to customers with guidance. QAD Implementation: Proficient in QAD implementation methodology. Able to contribute to implementation tasks with minimal guidance. QAD Configuration: Proficient in QAD configuration. Able to perform complex configuration tasks with minimal guidance. QAD Data Migration: Understands basic concepts of QAD data migration. Able to assist in data migration tasks with guidance. Essential Skills apart from above mentioned Adaptive Development Non Intrusive Customizations QAD Reporting Framework Production Orders Excelerator QAD APIs MSW/PSW Action Center Desired skills QXTEND Certifications Job Description Experience in QAD Support for QAD SE 2011 Able to build simple solution around standard QAD. Sound Technical & Functional knowledge essential Good knowledge on Linux DBA knowledge essential Knowledge of EDI, QXTEND, QRF & ICT. Experience on working with .NETUI Essential QAD Certifications Development Standards CVC Automotive Practitioner or similar ICT Desired QAD Certifications EOB Required Technical Competencies QAD Technical Consulting: Understands basic concepts of QAD products and solutions. Able to provide basic technical support to customers with guidance. Essential Skills apart from above mentioned QAD Reporting Framework QXTEND Desired skills BOOMI Certifications Job Title: Consultant - QAD - Techno Functional Job Description Experience in QAD Implementation Must be able to talk Chinese as well as English Work and Support on Complex Technical requirements. Able to build simple solution around standard QAD. Participate in Technical peer reviews and Integration Testing. Prepare weekly / monthly reports read out for small size projects. Contribute towards QAD Tools building. Basic Awareness about Production Orders, Automation Solutions and MSW/PSW. Knowledge of EDI, QXTEND, QRF & ICT. Mentor junior team member and provide feedback. Essential QAD Certifications Development Standards CVC Automotive Practitioner or similar ICT Adaptive Development Desired QAD Certifications EOB Required Technical Competencies QAD Technical Consulting: Understands basic concepts of QAD products and solutions. Able to provide basic technical support to customers with guidance. QAD Implementation: Proficient in QAD implementation methodology. Able to contribute to implementation tasks with minimal guidance. QAD Configuration: Proficient in QAD configuration. Able to perform complex configuration tasks with minimal guidance. QAD Data Migration: Understands basic concepts of QAD data migration. Able to assist in data migration tasks with guidance. Essential Skills apart from above mentioned Adaptive Development Non Intrusive Customizations QAD Reporting Framework Production Orders Excelerator QAD APIs MSW/PSW Action Center Desired skills QXTEND Certifications

5+years Sales/Business Development,Industrial IoT, AI solutions, US/MENA regions,Manufacturing plants, Automotive, pharmaceuticals,Facility Management,Logistics,Supply Chain,Cold Chains.Reach me at mailcv108@gmail.com or WhatsApp me at +91 9611702105

We have job opening for EV Regional Head in one of the reputed company. Role : This is a senior position focused on developing and implementing sales and marketing strategies to drive the growth of our EV connectors business. The person will work closely with the Engineering & Regional Sales teams and collaborate with the marketing department to achieve sales targets, build strong customer relationships, and enhance brand awareness. Responsibilities: 1. Develop and execute sales and marketing strategies to achieve business objectives and revenue targets for EV connectors. 2. Identify and target potential customers and market segments like EV Charger Manufacturers, OEMs, Automobile manufacturers to expand the customer base and increase sales. 3. Build and maintain strong relationships with existing and new customers, addressing their needs and providing exceptional customer service. 4. Conduct market research and competitor analysis to identify industry trends, customer preferences, and competitive positioning. 5. Collaborate with the marketing & engineering teams to create effective marketing campaigns, promotional material, and digital content to enhance brand awareness and generate leads. 6. Provide sales forecasts, market intelligence, and reports to the Management, highlighting key performance metrics, market trends, and opportunities. 7. Lead and motivate the sales team, setting segment sales targets, monitoring performance, and providing coaching and support to achieve sales goals. 8. Participate in industry conferences, trade shows, and networking events to establish the company's presence, build relationships, and generate leads. 9. Stay up-to-date with the latest developments in the EV industry, including technological advancements, regulatory changes, and market trends, and incorporate them into sales and marketing strategies. 10. Collaborate with cross-functional teams, such as product development, operations, and customer support, to ensure effective product launches, order fulfillment, and customer satisfaction. Qualifications & Skills: 1) BE / B.Tech- Electrical, E&TC, Mechatronics, Instrumentation or Mechanical 2) 10 -15 years of experience in sales and marketing in automotive / related relevant Industry 3) Strong understanding of sales and marketing principles, strategies, and techniques 4) Demonstrated ability to develop and execute successful sales and marketing plans. 5) Excellent communication and interpersonal skills, with the ability to build relationships with customers and internal stakeholders. 6) Strong analytical and problem-solving skills, with the ability to analyze market data, identify trends, and make data-driven decisions. 7) Results-oriented mindset with a track record of meeting or exceeding sales targets. 8) Leadership and team management skills, with the ability to motivate and guide a sales team to achieve goals. 9) Self-motivated, proactive, and able to work independently as well as in a team environment. Intrested candidate can send CV on chitrangi.patil@elcom-in.com

QUALITY MANAGER FOR A GREEN FIELD KOREAN MNC AT CHENNAI Qualification : BEE Mechanical Engineering Experience : 10 20 Years CTC : 16 LPA to 18 LPA ( Salary is not a constraint for a deserving candidate ) Quality Planning Experience 1) Comprehensive understanding Automotive Quality Management System. (ex: Core tool) 2) Experience in Quality department in Automotive industry. 3) Expertise in using Microsoft Office Suite (Word, Excel, PowerPoint, Outlook). 4) Fluent speaking in English 5) QMS audit skill 6) Team work, coordination, leading skill Internal Quality Control (IQC) Experience 1) Comprehensive understanding statistical process control. 2) Ability to interpret electrical/electronic circuit diagrams. 3) Ability to use statistical software (ex. MINITAB) 4) Ability to use M/S Excel function feature for statistical analysis Supplier Quality Control (SQC) 1) Comprehensive understanding statistical process control. 2) Ability to interpret electrical/electronic circuit diagrams. 3) Ability to use statistical software (ex. MINITAB) 4) Ability to use M/S Excel function feature for statistical analysis Job Description 1) Management of QMS Documentation (Creation and Revision Control) 2) Response to Customer QMS Audits 3) Management of IATF 16949 Audits/Certification 4) Execution of Internal QMS Audits 5) Monitoring and Management of Process Monitoring Indicators. 6) Conducting Quality Education and Training Programs 7) Quality cost control Quality Control (part, process and outgoing quality) 1) Daily process inspection and periodic process audt 2) Regular capability study of Machine/Gage/Process 3) Internal approval and change control quality verification and approval) 4) Product audit (Reliability test/Layout inspection) 5) Failure part analysis (process failure, customer claim) 6) Corrective action (Making/validation/effectiveness verification of corrective actions) 7) Outsourcing partner control (Incoming quality) 8) Incoming inspection (including suppler improvement) 9) Part/Supplier change approval 10) Regular review of supplier's inspection result incoming process/outgoing inspection result and product audit result by suppliers) 11) Claim to suppliers for failure costs due to suppliers

ASSISTANT MANAGER QUALITY FOR A JAPANESE MNC AT SRICITY, TADA Position : Assistant Manager Quality Management Level : - Level 3 Qualification: BE - Mechanical Engineering Experience: 10 -15 Yrs experience preferably in an Automotive Industry Budget: 6 Lakhs Per Annum to 12 Lakhs Per Annum Key Responsibilities 1) Conducting Internal Audits - IMS 2) Assisting MR Activities 3) Incoming & In process Quality 4) Review of customer complaints 5) New Product & Parts Approval 6) Testing & Validation 7) Calibration Job Description 1. Conducting internal audits - IMS - Integrated Management System - Manual Updation / Administering quality system programmes, Conducting internal audit and product audit to ensure system compliance, Conducting supplier audits and ranking. 2. Assisting MR Activities - Reviewing and Updating QMS Procedures, Coordinating with external Agencies for certification process, Vendor / Supplier Audit and Approval process, Review of system & process deviations, if any, and taking appropriate corrective actions. 3. Incoming, In process, Final Inspection - Ensuring work instructions and process control methods, reviewing and administering the system related to incoming, in process, sample and final inspection, Taking appropriate corrective actions with reference to non-conformities and supplier related issues. 4. Review of Customer Complaints - Understanding the nature of customer complaints, Analyze and identify the root cause to take corrective and preventive actions, develop appropriate mechanism to train and educate the employees about the severity of the customer complaint. 5. New Product and parts approval - Display of QA alert, Creating Awareness, Study of PPAP / FMEA reports, Customer requirements and special processes and system requirements, checking of new products during product ionization and taking appropriate corrective action, parts approval procedure adherence. 6. Testing and Validation - To adhere all the appropriate testing and validation procedures as per the customer / system requirements, Maintaining all the records related to testing and validation. 7. Calibration - Maintaining the list of equipments, Reviewing the due date of calibration and obtaining calibration certificate for all the measuring & testing equipments on time. 8. Operational Requirements - Training functional people to improve quality, Document Maintenance, Helping the head for Budget preparation, checking of reports / documents etc., 9.Sorting our day-to-day quality related issues, overseeing the inspection activities, Review of internal audit results, Authority : To stop production in case of non-conformity Responsibility : Product & Process quality monitoring, System compliance requirements, Internal & External audit procedures revisions, Testing and Validation, Calibration, Corrective & Preventive Actions. ----------------------------------------------------------------------------------------------------------------------------------------------------------- SENIOR EXECUTIVE / ASST MANAGER FOR MARKETING DEPARTMENT DEPT / Function : Sales & Marketing Department Role Name (Position): Sr. Executive / Assistant Manager Qualification: BCom / BBA / MBA in Marketing Specialization Experience: 10 -15 Yrs experience preferably in an Automotive Industry Budget : 6.5 Lakhs Per Annum JOB DESCRIPTION: Preparation of Short & Long term Business plans with continuous interaction with OEMs & TIER1, Managing new product launches, aligning customer milestones and monitoring Engineering Changes, Maintaining good relationship levels and rapport with customers , Price working, Offer submission, negotiations and closing of deals for New products and Engineering changes , Weekly RFQ Status and Customer Enquiry Register to be reported to superior, Preparation of Monthly MIS and keeping track of yearly targets , Assisting Superior in Cost review, Inflation/Deflation working in commodity pricing, Market research and Product Benchmarking Liaising with internal departments and resolving customer concerns Monitoring Customer satisfaction index and taking necessary course correction Assisting and coordinating with Finance for payment collection and accounts reconciliation Organizing stalls in Domestic and International exhibitions Intimate understanding of traditional and emerging marketing channels Excellent communication skills Ability to think creatively and innovatively Budget-management skills and proficiency Analytical skills to forecast and identify trends and challenges Familiarity with the latest trends, technologies and methodologies in graphic design, web design, production, etc., Oversee all marketing campaigns for their company or department Promote a business, product, or service Ensure the company is communicating the right messaging to attract prospective customers and retain existing ones Represent the marketing team to cross-functional groups including product management, sales, or customer support Lead market research efforts to uncover the viability of current and existing products/services Collaborate with media organizations and advertising agencies Brainstorm ideas for new campaigns Coordinate with the sales team and other departments to produce effective strategies Monitor current campaigns, ensuring their staff meets deadlines and complete necessary tasks Analyze data to evaluate the success of their marketing efforts and come up with new ideas to improve brand marketing and exposure ----------------------------------------------------------------------------------------------------------------------------------------------------------- ENGINEER / SENIOR ENGINEER - NPD & RENEWAM MOLD DOCUMENTATION DEPT / Function : NPD & Renewal Mold Documentation Role Name (Position) : Engineer Qualification : Diploma / BE - Mechanical Experience: 3 - 6 Yrs experience preferably in an Automotive Industry Budget : 3.5 to 4.5 LPA JOB DESCRIPTION: Balloon numbering in the drawing. Layout report preparation. Carry out as per drawing full layout inspection. Summary the layout inspection report, Carry out Machining set-up casting set-up. Preparation of NG dimension summary report. Explain to supplier about NG dimension. NG Dimension re-check and re-sample submission. Sample submission to customer sample approval follow-up from customer Carry out X-Ray Inspection to make report Hardness check make report CMM program & Make report Based CMM program result part dimension correction Contour check make report Roughness check make report Mushroom Sample & Chemical Analysis Report Carry out Blister Test (Y TECH Models) Carry out Load Test (Y TECH Models) Running mold past trouble data collection Renewal improvement point preparation As per customer standard test required data preparation Do CMM Calibration and Record Error in Check Sheet Do Roughness Calibration with Daily Master and Record in Check Sheet Do Contour Calibration and Update Check Sheet Do Hardness Calibration and update Check Renewal mold technical review Renewal mold life mentoring Renewal status update in the morning meeting Mold supplier follow-up Renewal mold NG data monitoring Part Appearance standard preparation Limit sample preparation 'Process Flow Diagram(s) Process FMEA Control Plan Measurement Systems Analysis Studies (MSA) Initial Process Studies SPC (Cp & Cpk) Checking Aids preparation Part Submission Warrant (PSW) Packing Standard Final Inspection Standard WI&SOP Set-up & Last off approval report preparation Limit samples approval from customer APQP Timing plan preparation & update APQP Timing plan monitoring Obeya board preparation & update Study of Past Trouble History (TGRTGW) &Technical review Preliminary process flow chart & Control plan Prepare Quality Plan Drawing Review & Engineering Specification Supplier Tool development Plan (APQP) (1. Mold, 2. Machining Jig Fixture) Identification finalization of special characteristics New equipment & Gauge Procurement PFMEA Matrix Pre-launch Failure mode and effect analysis (PFMEA) Pre-launch process flow chart Pre-launch control plan NPD Parts Sample Submission Sample Approval Training to concerned Operator Inspector Supervisor Process Product Audit Closure of all internal and external Quality concerns Customer feedback and satisfaction evaluation for the project Prepare TGW & TGR for running project APQP Sign off

Sr. Exe Asst Mgr.- Electrical Maintenance : CMR Green Technologies Limited CMR Group is India's largestproducer of Aluminium and zinc die-casting alloys. With 13 state-of-the-artmanufacturing plants across the country, CMR has become the preferred supplierfor many of Indias largest automotive industry leaders. Since its inception in2006, CMR has consistently outpaced competition by focusing on deliveringsuperior value to its stakeholders. This value is driven by a strong commitmentto technical advancements, quality enhancement, sustainability, andpeople-centric practices. We believe in an " Employee First " philosophy, ensuring that our people are at the core of our success. Our dedication tofostering an enriching work environment is reflected in our recognition asthe 'Most Preferred Place for Women to Work' and as one ofthe Top 25 Mid-Sized Indias Best Workplaces in Manufacturing for 2025 by GreatPlace to Work. As CMR continues to chart its growthtrajectory, we remain committed to innovation and excellence. We are alwayslooking for enthusiastic and dynamic individuals to join our team andcontribute to our continued success. Position description: FLO- Electrical Maintenance Job Band: A Designation: Sr. Executive /AM No. of Posts: 1 (One) Department: Maintenance Reporting to: Area Head (Maintenance) Qualification: Candidate Should have Degree / Diploma in Electrical Engineering from reputed institute. Desirable:- Degree/Diploma/ Certification Course in Advance Maintenance. Experience: 3 to 6 years of experience in Electrical Maintenance activities in the manufacturing sector. Desired- Experience in similar industry would be preferable. Job Profile: Ensure high availability of the machines to the production team. Create work orders for the maintenance activities as per maintenance plan and assign responsibilities to team of electrician / fitters. Create material requisition and follow-up with stores team regarding the receipt of material. Generate purchase order for services required and ensure accurate and timely availability of services. Report daily progress status on shutdown/turnaround activities. Prepare shutdown/turnaround completion report and communicate to all relevant dept. heads. Ensure timely and safe execution of activities in central workshop. Prepare daily observation report of maintenance activities. Prepare monthly KPI report. Support maintenance lead in managing maintenance masters. Ensure proper maintenance of tools. Ensure optimal consumption of spares and consumables without impacting equipment performance. Functional Skills Technical problem solving Vendor management Electrical and mechanical equipment Behavioural Competencies Effective communication Teamwork Knowledge sharing and learning Results orientation General: Age -25- 35 years. CTC 3.5 6.5 LPA approx. CTC Not a constraint for suitable candidate. Candidates should not be frequent job changers. Notice Period- Joining period Max 30 Days. Candidate must be well versed in Hindi basic along with regional languages. Location: Sriperumbudur: A4 & 5, SIPCOT Industrial Park, Pillaipakkam, Sriperumbudur, District Kancheepuram, Tamil Nadu- 602105