Business Development Manager

Invensis is seeking a skilled and organized eCommerce Specialist to oversee the management of products and content on our LabCore platform, as well as streamline the order fulfillment process. This role is essential to ensuring a seamless online customer experience by maintaining accurate product listings, coordinating with OEMs for dropshipping orders, and providing post-sale support. The eCommerce Specialist will serve as a key liaison between customers, suppliers, and internal teams to drive operational efficiency and customer satisfaction.

Key Responsibilities

• Product Management:
• ● Manage and update product listings, descriptions, specifications, and pricing on the GMI LabCore platform to ensure accuracy and consistency.
• ● Create and optimize engaging digital content (e.g., images, descriptions, technical details) to enhance the customer shopping experience.
• Order Fulfillment:
• ● Oversee the order fulfillment process by placing dropshipping orders with OEMs and ensuring timely execution.
• ● Notify customers of order status updates, including confirmation, shipping details, and delivery timelines.
• Post-Sale Support:
• ● Handle post-sale customer inquiries, including troubleshooting issues, processing returns, and resolving complaints in a professional and timely manner.
• Supplier and Internal Collaboration:
• ● Collaborate with OEMs and suppliers to maintain strong relationships and ensure smooth fulfillment operations.
• ● Work closely with the marketing team to align product promotions and campaigns with platform content.
• Platform Performance and Reporting:
• ● Monitor platform performance metrics (e.g., traffic, conversion rates, customer feedback) and suggest improvements to enhance user experience.
• ● Maintain accurate records of orders, customer interactions, and inventory availability in the eCommerce system.
• Process Improvement:
• ● Identify opportunities to streamline processes and improve customer satisfaction within the LabCore platform.

Qualifications

• Education:
• ● Bachelor’s degree in business, marketing, eCommerce, or a related field (or equivalent experience).
• Experience:
• ● 2+ years of experience in eCommerce, customer service, or order management, preferably in a technical or scientific industry.
• ● Familiarity with laboratory equipment and terminology is a plus.
• ● Experience working with dropshipping models and coordinating with third-party suppliers.
• Skills:
• ● Proficiency with eCommerce platforms (e.g., WooCommerce, Shopify, Magento, or custom systems) and content management tools.
• ● Strong organizational skills with the ability to manage multiple tasks and deadlines effectively.
• ● Excellent communication skills, both written and verbal, with a customer-centric approach.
• ● Proficiency in Microsoft Office, CRM/ERP software (Netsuite or Salesforce preferred), and order tracking systems.
• ● Detail-oriented with a proactive problem-solving mindset.

Mandate Statement: eCommerce Specialist

The eCommerce Specialist at GMI is tasked with overseeing the LabCore platform’s product ecosystem and delivering a seamless, customer-focused online experience. This role is responsible for managing product listings and content with precision, while driving the order fulfillment process through effective coordination with OEMs for dropshipping. By providing timely updates to customers and resolving post-sale inquiries, the eCommerce Specialist ensures operational excellence and builds trust in GMI’s brand. With a commitment to accuracy, responsiveness, and continuous improvement, this position plays a vital role in advancing GMI’s eCommerce presence and supporting our mission to empower the scientific community with accessible, high-quality solutions.

Qualifications:

• Be part of Product Control team covering various product categories and regions. (Asset classes: FX/FXO, Rates, Fixed Income, Credit, Commodities, Treasury etc.)
• Ensure appropriate controls and reviews are maintained for Daily P&L production, Core reconciliations, Month end close and BSS.
• Ensure the teams are performing timely lockdown of daily and monthly P&L.
• Review various reconciliation reports, management packs and ad-hoc reports.
• Review of month end Journals for accrual, provision and true up. 
• Supporting the introduction of new products within respective business’s and related pre and post execution governance.
• Providing insight with respect to structural and/or system changes and future business expansion/changes and their impact on business performance.
• Independently assess the valuation and associated uncertainty of all assets and liabilities within the respective businesses, specifically continuing the evolution and ensuring the integrity of the IPV and Fair Value reserving processes. Design, implement and maintain policies and procedures for model risk, calibration risk and implementation risk reserving.
• Design, develop and evolve the methodologies to optimise the Prudential Valuation and stress Prudential Valuation framework.

DESCRIPTION OF TECHNICAL COMPETENCIES

• Given the breadth of areas the role covers, it requires a high proficiency in a wide variety of topics, including:
• Product Control experience 4-8 years
• Strong knowledge of accounting rules
• Strong quantitative analytical skills and understanding of financial modelling
• Strong Control mindset
• Strong Product knowledge at across the core business products.
• Strong interpersonal, communication (verbal and written) and negotiating skills.  

About Us

upGrad is an online education platform building the careers of tomorrow by offering the most industry-relevant programs in an immersive learning experience. Our mission is to create a new digital-first learning experience to deliver tangible career impact to individuals at scale. upGrad currently offers programs in Data Science, Machine Learning, Product Management, Digital Marketing, and Entrepreneurship, etc. upGrad is looking for people passionate about management and education to help design learning programs for working professionals to stay sharp and stay relevant and help build the careers of tomorrow.

• upGrad was awarded the Best Tech for Education by IAMAI for 2018-19
• upGrad was also ranked as one of the LinkedIn Top Startups 2018: The 25 most sought-after startups in India 
• upGrad was earlier selected as one of the top ten most innovative companies in India by FastCompany.
• We were also covered by the Financial Times along with other disruptors in Ed-Tech
• upGrad is the official education partner for Government of India - Startup India program 
• Our program with IIIT B has been ranked #1 program in the country in the domain of Artificial Intelligence and Machine Learning 

About the Role

If you love to learn, are a quick learner and would love to create top-notch online courses on emerging technologies like Blockchain, Software Development or Data science then we are looking for you!

The Senior Content Strategist role is unique in the sense that it provides an opportunity to learn new topics quickly, work on case studies, interact and build network with top industry professionals and faculty members in the respective domains, and do work that directly impacts the lives and careers of our learners.upGrad is looking for people passionate about education to help design learning programs for working professionals in order to help build the careers of tomorrow. 

Roles & Responsibilities

• Develop world-class content for online courses on different stacks in Full-Stack Web Development (Java, Spring, Spring Boot, Angular, React.js, Node.js & Express.js, C#, .NET), Blockchain Development & Architecture, software development/mean-stack development / Data science/Machine Learning. This job will equip the candidate with highly sought after skills and will be a great starting point for a career
• Understand the industry requirements and develop courses to help students meet high standards
• Plan and execute student competency assessment and engagement to ensure extraordinary learning experience
• Quickly learn complex concepts and ensure quality of content, instructional design and overall course experience
• Collaborate with business development team to meet content production deliverables
• Define & structure content development process; work with educational content across all levels
• Structure, grow and lead content development team including research assistants, video producers, scriptwriters etc.
• Work closely with senior faculty, freelancers and global industry leaders

Skills Required

• BE/B.tech Computer science background (Bachelor’s/Master’s degree, BCA/ MCA,
• Online/ self taught/MOOC) OR a degree in Maths/Statistics.
• 4+ years of experience in e-Learning and/or creating customised higher education programs
• Experience in software development (backend/full-stack web development) , Data science is valuable.
• Excellence in problem solving and structuring of complex processes in new terrains
• Master in Higher Education/ Technology, Education & Innovation is preferred
• Experience in (digital) pedagogic content production; preferably higher education is preferred

JD for Below position-

Preferred Technical Expertise-

1. Expertise in front end web application development
2. Solid Understanding of Javascript, JQuery.
3. Experience in HTML, CSS and Bootstrap library is required.
4. Experience with Django Framework.
5. Experience with source code versioning tools such as GIT, Bitbucket etc.

Secondary Skills/Good to have Skills:

1. Experience in developing REST API is a plus.
2. Experience in Python Programming is a plus.
3. Experience in Pandas and Numpy Libraries is a plus.
4. Experience with SQL is a plus.
5. Experience with any cloud platform ( GCP is a plus )

ML Engineer-Analyst/ Senior Analyst

Job purpose:

To design and develop machine learning and deep learning systems. Run machine learning tests andexperiments and implementing appropriate ML algorithms. Works cross-functionally with the Data Scientists, Software application developers and business groups for the development of innovative ML models. Use Agile experience to work collaboratively with other Managers/Owners in geographically distributed teams.

Accountabilities:

• Work with Data Scientists and Business Analysts to frame problems in a business context. Assist all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production.

• Understand business objectives and developing models that help to achieve them, along with metrics to track their progress.

• Explore and visualize data to gain an understanding of it, then identify differences in data distribution that could affect performance when deploying the model in the real world.

• Define validation strategies, preprocess or feature engineering to be done on a given dataset and data augmentation pipelines.

• Analyze the errors of the model and design strategies to overcome them.
• Collaborate with data engineers to build data and model pipelines, manage the infrastructure and data pipelines needed to bring code to production and demonstrate end-to-end understanding of applications (including, but not limited to, the machine learning algorithms) being created.

Qualifications & Specifications

• Bachelor's degree in Engineering /Computer Science/ Math/ Statistics or equivalent. Master's degree in relevant specification will be first preference

• Experience of machine learning algorithms and libraries
• Understanding of data structures, data modeling and software architecture.
• Deep knowledge of math, probability, statistics and algorithms
• Experience with machine learning platforms such as Microsoft Azure, Google Cloud, IBM Watson, and Amazon

• Big data environment: Hadoop, Spark
• Programming languages: Python, R, PySpark
• Supervised & Unsupervised machine learning: linear regression, logistic regression, k-means

clustering, ensemble models, random forest, svm, gradient boosting

• Sampling data: bagging & boosting, bootstrapping
• Neural networks: ANN, CNN, RNN related topics
• Deep learning: Keras, Tensorflow
• Experience with AWS Sagemaker deployment and agile methodology