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Discover Dollar helps world’s best run companies to identify and recover leakages by using data science and “data-first” approach. We have built Cutting- edge AI driven solution which can analyse all data including unstructured data like emails and contracts and help enterprises to recover all overpayments and leakages.

We have helped best run Fortune 500 companies like Target, Lowe’s, ABInbev, Metro, Canadian Tire etc to recover more than $1 Bn of leakages which otherwise would be lost forever.

Highlights

Discover Dollar has pioneered a ‘real-time’ data-driven analytics platform which can help enterprises realise millions of dollars of value.

Our solution has been awarded as “Globally Most Innovative” Solution by SAP in Orlando, Florida. We have won many accolades from IIM Bangalore, Microsoft, Govt of Karnataka, Amrita TBI etc.

CIO Review named us as “Top 20 Upcoming retail analytics software companies in India”

At NASSCOM Product Connect held in November 2020, we won prestigious ‘Emerge50’ in Retail-Tech Category as one of the top software product companies in India. we have been adjudged as APAC Solution Provider Award by Procurement Leaders, A World 50 Group Community in 2025.

We are fortunate to have some of the best business minds like SD Shibulal (Founder of Infosys) and Patrick Pichette (ex-CFO of Google) as our mentors and advisors.

Our Culture:

We strongly believe in “Together we grow” and to have a great success we need strong sense of shared belief systems which all of them embrace.

Built on our values, our team members have shared their testimonies in various platforms including Glassdoor - Working at Discover Dollar | Glassdoor

Business Function: Sales & Marketing

Designation: Sales Development Representative

Work Location: Remote

Job Description:

As a Sales Development Representative, you will be responsible for:

1. Conducting outbound prospecting to generate leads across multiple channels – Call, Email, LinkedIn.
2. Qualifying leads based on predefined criteria.
3. Gathering account and contact intelligence through secondary research on prospects and apprising relevant insights with the Sales Team.
4. Setting appointments with prospects for senior members of the sales team.
5. Understanding prospect pain points and find solutions with sales and pre-sales representatives.
6. Using data chops to segment the accounts and contacts.
7. Building and nurturing relationships with Procurement, Finance and Innovation leaders.

Required skills and experience:

1. 3+ years of Business Development / Sales Dev / Inside Sales / Pre-Sales experience in an enterprise tech/enterprise SaaS company
2. Prospecting Skills: Identifying potential leads and companies. Preferably an experience in personalized cold outreach for enterprise companies in the US/EMEA
3. Communication Skills: Effectively communicating the value proposition. Engaging with prospects at C-Suite level
4. Research Abilities: Researching and understanding target industries. Gathering information on potential clients. Qualitative research info based on playbook, Annual Report etc.
5. CRM Proficiency: Using Customer Relationship Management (CRM) tools. Logging and tracking interactions with prospects.

Personal Attributes

1. Should have an entrepreneurial mindset, forward thinking and decision-making skills.
2. Ability to seamlessly collaborate with various teams, including but not limited to marketing and sales teams.
3. Ability to cope in a complex and fast-changing business environment, and to respond calmly and rationally to changing aspirations in a deadline-driven situation.
4. Good influencing and persuasion skills and build successful relationships at all levels.

Education: Bachelor’s or Master’s degree in Business/ Comparable education

Budget: 35 LPA to 45 LPA

Work schedule is Mon to Fri, 3:30am to 12:30pm IST

Key Responsibilities:

• Design, develop, and deploy computer vision and machine learning models for analyzing visual and document-based data.
• Build pipelines that convert unstructured visual inputs into structured and usable information.
• Develop and evaluate models for tasks such as object detection, segmentation, document parsing, and image understanding.
• Apply OCR and related techniques to extract meaningful information from complex documents and imagery.
• Work with large datasets and build efficient training and evaluation pipelines.
• Handle real-world visual datasets that may contain noise, inconsistencies, incomplete information, or varying formats.
• Experiment with different approaches to solve challenging computer vision problems and evaluate tradeoffs between accuracy, performance, and complexity.
• Collaborate with product and engineering teams to integrate machine learning models into scalable production systems.
• Continuously improve model performance, accuracy, and robustness in real-world environments.
• Stay up to date with the latest developments in AI and computer vision and apply relevant techniques where appropriate.
• Actively leverage modern AI tools and frameworks to accelerate experimentation, development, and engineering workflows.

Requirements:

• 5+ years of hands-on experience building and deploying machine learning models, particularly in Computer Vision or document understanding.
• Strong proficiency in Python for machine learning and data processing.
• Hands-on experience with modern ML frameworks such as PyTorch and libraries in the Hugging Face ecosystem.
• Experience with computer vision tooling such as OpenCV.
• Experience with common ML and data science libraries such as scikit-learn, NumPy, and Pandas.
• Experience developing models for tasks such as segmentation, object detection, or document analysis.
• Experience working with large image datasets and building training pipelines.
• Solid understanding of model evaluation, data preprocessing, and performance optimization.
• Strong problem-solving skills and ability to work in a fast-paced product environment.
• Ability to collaborate effectively with cross-functional engineering and product teams.
• The candidate should be based in India
• Willing to work remotely full-time
• Work schedule is Mon to Fri, 3:30am to 12:30pm IST

Preferred Qualifications:

• Experience with TensorFlow or other deep learning frameworks.
• Experience working with OCR pipelines or document analysis systems.
• Experience deploying machine learning models in production environments.
• Experience with containerized deployments such as Docker or Kubernetes.
• Experience working with complex technical documents, diagrams, or structured visual data.
• Familiarity with spatial or geometry-related data problems.
• Experience with libraries such as Detectron2, MMDetection, or similar.
• Familiarity with frameworks used to integrate modern AI models into applications (e.g., LangChain or similar tooling).
• Contributions to open-source ML or computer vision projects are a plus.

Additional Information:

• The problems we work on involve complex visual and document-based data, so we value engineers who enjoy tackling challenging technical problems and experimenting with different approaches to reach practical solutions.
• Candidates are required to include links to relevant projects, GitHub repositories, research work, or examples of machine learning systems they have built.

Benefits:

• Flexible remote work opportunities with career development opportunities
• Engagement with a supportive and collaborative global team
• Competitive market based salary

●              Work with application development teams to identify and understand their operational pain points.

●              Document these challenges and define goals to be achieved by the infrastructure team.

●              Prototype and evaluate multiple solutions, often by experimenting with various vendors and tools available, to achieve the goals undertaken.

●              Rollout tools and processes with heavy focus on automation.

●              Evangelize and help onboard application development teams on the platforms provided by the infrastructure team.

●              Co-own the responsibility with application development teams to ensure the reliability of services.

●              Design and implement solutions around observability to ensure ease of maintenance and quick debugging of services

●              Establish and implement administrative and operational best practices in the application development teams.

●              Find avenues to reduce infrastructure costs and drive optimization in all services.

●              5+ years of experience as a DevOps / Infrastructure engineer with cloud platforms (preferably AWS)

●              Experience with git, CI / CD, Docker, etc

●              Experience in working with infrastructure as code (Terraform, etc).

●              Strong Linux Shell scripting experience

●              Experience with one of the programming languages like Python, Java, Kotlin, etc.

We Are Hiring – Area Sales Manager

Company: KGISL – Million Genius Coders (MGC)

Sector: B2B

Locations: Palakkad, Thrissur, Kochi, Trivandrum

KGISL – Million Genius Coders (MGC) is expanding its presence and invites applications for the role of Area Sales Manager. The ideal candidate will be responsible for driving business growth, building strong client relationships, and achieving sales objectives within the assigned territory.

Interested Candidates Can DM or fill the google form : https://docs.google.com/forms/d/1J6WfOUmv9_u9dZAqmQvPndF7pLtqDDD2rP0nC7oCR1U/viewform 

Experience: 2-3 years of experience in video editing, preferably within fintech, tech, or digital marketing.

Technical Skills: Proficiency in Adobe Premiere Pro, After Effects, Final Cut Pro, and other relevant editing software.

Portfolio: A portfolio demonstrating a range of video editing work, showcasing strong storytelling and visual design.

Creativity & Attention to Detail: Strong sense of timing, pacing, and ability to convey messages effectively through visuals.

Collaboration & Communication: Excellent team-working skills to liaise with cross-functional teams and incorporate feedback.

Roles and Responsibilities:

• Understand and troubleshoot technology problems and offer solutions
• Understand the technology infrastructure and Application architecture end to end
• Code review for the source code delivered by team
• Understand the business requirements and deliver it through outsourced team
• Support/lead new technology initiatives and related technology deliveries
• Take part in evaluation of new products, POC, Time bound RND and solution deliveries
• Manage teams (both internal and external)/projects within given cost and time
• Plan, execute, track and report progress of initiatives taken up
• Adopt new processes/ improve existing processes to deliver better business solutions
• Adhere to quality / info-security guidelines and processes including maintain adequate documentation
• Attend review meetings, business user meetings, IT meetings etc

• Minimum qualification required is Graduation in computers / electronics with an experience of 2-6 years
• Require good written and spoken communication skills
• Require ability to lead a team and manage delivery with help of partners.
• Require hands on experience in developing applications with Angular, .Net Core, Asp.Net, MVC, SQL and Node JS.
• Require proven abilities to analyze, debug and find solution to technology issues
• Require process orientation, ability to adopt new processes and improve existing processes on ongoing basis
• Require experience in developing responsive web applications
• Require hands on experience in scaling/load balancing applications
• Require hands on experience in writing queries on SQL technologies
• Require knowledge of Windows operating systems
• Passion to learn and work on any technology

• Field manage audit engagements, including management of client relationships;
• Plan and deliver a range of audit and assurance services;
• Supervise teams to successfully execute engagements and mentor more junior members of staff;
• Working effectively in diverse teams within an inclusive team culture where people are recognised for their contribution
• Help to drive our continuous improvement in audit methodology and develop new ways of working through innovation and transformation; and
• Participate in practice management activities, including facilitation of internal training courses and staff development.