Imagine yourself… -  Growing your expertise and expanding your skillset with every project.  - Thriving in a supportive team environment that inspires you to strive for excellence.  - Contributing to a brighter, more sustainable future.  At Hach (www.hach.com), a Veralto company, we ensure water quality for people around the world, and every team member plays a vital role in that mission. Our founding vision is to make water analysis better—faster, simpler, greener, and more informative. We accomplish this through teamwork, customer partnerships, passionate experts, and reliable, easy-to-use solutions. As part of our team and the broader Veralto network, you’ll be part of a unique work environment where purpose meets possibility: where you’ll make an immediate, measurable impact on a global scale by enabling the world’s everyday water needs, and where you’ll have opportunities to foster your professional development and fuel your career growth. Motivated by the highest possible stakes in climate change and global health, we’re working together within a rapidly digitizing industry to find innovative technologies that guarantee the safety of our water and our environment. More about us: https://www.hach.com/about-us We offer: - Best in industry vacation quota - Hybrid working - Professional onboarding and training options - Powerful team looking forward to working with you - Career coaching and development opportunities - Health and wellness benefits Reporting to the Service Sales Manager, the Engineer - Service is responsible for driving recurring revenue through sales of service contracts, spares, and service solutions for Hach products in the assigned territory. The role focuses on installed base management, contract renewals, new service contract acquisition, and close collaboration with Service, Sales, and Operations teams. This position is part of the India Commercial Organization located in Ranchi and will be Remote. In this role, a typical day will look like: - Drive service contract (AMC/CMC) bookings, renewals, and spares sales for assigned territory and accounts. - Analyze customer installed base (IB) to identify mandatory and recommended spares requirements. - Proactively position and sell mandatory and recommended spares based on historical consumption. - Manage install-base data and develop service revenue plans with Service Operations. - Identify contract coverage gaps and convert break-fix customers into contract customers. - Prepare quotations aligned with pricing and approval guidelines. - Coordinate with field service engineers for contract execution readiness. - Track service sales pipeline and forecast accuracy using CRM tools (SFDC / ServiceMax). - Support joint Sales + Service initiatives and obsolete installed base replacement programs. - Build relationships with municipal customers, consultants, EPCs, and channel partners. - Ensure timely collection support and adherence to contract terms. - Meet monthly, quarterly, and annual service revenue targets. The essential requirements of the job include: - Bachelor’s Degree or Diploma in Engineering (Instrumentation / Electrical / Electronics). - 5 - 8 years of experience with proven service revenue growth responsibility. - Prior exposure to Hach or similar water quality instrumentation preferred - Willingness to relocate across India basis job / company priorities - Willingness to travel - Good written and verbal communication skills - Teamwork and ability to work across cultures, locations, and business teams - Expertise in MS office. Exposure to Copilot AI tools would be added advantage - Proactive and action-oriented with an eye for detail - Self-motivated with a passion for driving business growth in a rapidly evolving market - Problem-solving skills and the ability to develop innovative solutions to meet customer needs - Excellent communication and interpersonal skills, with an ability to build and maintain customer relationships Hach is proud to part of the Water Quality segment of Veralto (NYSE: VLTO), a $5B global leader dedicated to ensuring access to clean water, safe food and medicine, and trusted essential goods. When you join Veralto's vibrant global network of 17,000 associates, you join a unique culture and work environment where purpose meets possibility: where the work you do has an everyday impact on the resources and essentials we all rely on, and where you’ll have valuable opportunities to deepen your skillset, pursue your ambitions, and grow your career. Together, we’re Safeguarding the World’s Most Vital Resources™—and building rewarding careers along the way. At Hach, we believe in supporting your success at work and beyond. We recognize the benefits of flexible, remote working arrangements for eligible roles and are committed to providing enriching careers, no matter the work arrangement. This position is eligible for a remote work arrangement in which you can work remotely from your home. Additional information about this remote work arrangement will be provided by your interview team.   @purbamukhopadhyay At Veralto, we value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes. Unsolicited Assistance We do not accept unsolicited assistance from any headhunters or recruitment firms for any of our job openings. All resumes or profiles submitted by search firms to any employee at any of the Veralto companies, in any form without a valid, signed search agreement in place for the specific position, approved by Talent Acquisition, will be deemed the sole property of Veralto and its companies. No fee will be paid in the event the candidate is hired by Veralto and its companies because of the unsolicited referral.

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may:  - Design original computational physics problems that simulate real physics research workflows; - Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy); - Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); - Develop problems requiring non-trivial reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics; - Base problems on real research challenges or practical applications from physics practice; - Verify solutions using Python with standard physics simulation libraries; - Document problem statements clearly and provide verified correct answers. What we look for This opportunity is a good fit for optical engineers with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:   - Degree in Physics (Theoretical, Experimental, or Computational) or related fields; - Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; - 2+ years of professional experience: applied, research, or teaching experience is applicable; - Experience with numerical simulation methods; - Ability to design problems that mirror real physics research workflows; - Creative thinking in problem design across diverse physics areas; - Familiarity with physics modeling and approximation techniques; - Strong written English (C1+). How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Compensation On this project, contributors can earn up to $29 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may:  - Design original computational physics problems that simulate real physics research workflows; - Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy); - Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); - Develop problems requiring non-trivial reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics; - Base problems on real research challenges or practical applications from physics practice; - Verify solutions using Python with standard physics simulation libraries; - Document problem statements clearly and provide verified correct answers. What we look for This opportunity is a good fit for optical engineers with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:   - Degree in Physics (Theoretical, Experimental, or Computational) or related fields; - Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; - 2+ years of professional experience: applied, research, or teaching experience is applicable; - Experience with numerical simulation methods; - Ability to design problems that mirror real physics research workflows; - Creative thinking in problem design across diverse physics areas; - Familiarity with physics modeling and approximation techniques; - Strong written English (C1+). How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Compensation On this project, contributors can earn up to $35 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may:  - Design original computational physics problems that simulate real physics research workflows; - Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy); - Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); - Develop problems requiring non-trivial reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics; - Base problems on real research challenges or practical applications from physics practice; - Verify solutions using Python with standard physics simulation libraries; - Document problem statements clearly and provide verified correct answers. What we look for This opportunity is a good fit for optical engineers with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:   - Degree in Physics (Theoretical, Experimental, or Computational) or related fields; - Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; - 2+ years of professional experience: applied, research, or teaching experience is applicable; - Experience with numerical simulation methods; - Ability to design problems that mirror real physics research workflows; - Creative thinking in problem design across diverse physics areas; - Familiarity with physics modeling and approximation techniques; - Strong written English (C1+). How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Compensation On this project, contributors can earn up to $14 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.