Sr. Affiliate Marketing Manager

We’re partnering with a fast-growing AI-first enterprise transforming how organizations handle documents, decisioning, and workflows — starting with BFSI and healthcare. Their platforms are redefining document intelligence, credit analysis, and underwriting automation using cutting-edge AI and human-in-the-loop systems.

As an AI Engineer, you’ll work with a high-caliber engineering team building next-gen AI systems that:

• Power robust APIs and platforms used by underwriters, analysts, and financial institutions.
• Build and integrate GenAI-powered agents.
• Enable “human-in-the-loop” workflows for high-assurance decisions in real-world conditions.

Key Responsibilities

• Build and optimize ML/DL models for document understanding, classification, and summarization.
• Apply LLMs and RAG techniques for validation, search, and question-answering tasks.
• Design and maintain data pipelines for structured and unstructured inputs (PDFs, OCR text, JSON, etc.).
• Package and deploy models as REST APIs or microservices in production environments.
• Collaborate with engineering teams to integrate models into existing products and workflows.
• Monitor, retrain, and fine-tune models to ensure reliability and performance.
• Stay updated on emerging AI frameworks, architectures, and open-source tools; propose system improvements.

Required Skills & Experience

• 2–5 years of hands-on experience in AI/ML model development, fine-tuning, and deployment.
• Strong Python proficiency (NumPy, Pandas, scikit-learn, PyTorch, TensorFlow).
• Solid understanding of transformers, embeddings, and NLP pipelines.
• Experience with LLMs (OpenAI, Claude, Gemini, etc.) and frameworks like LangChain.
• Exposure to OCR, document parsing, and unstructured text analytics.
• Familiarity with FastAPI/Flask, Docker, and cloud environments (AWS/GCP/Azure).
• Working knowledge of CI/CD pipelines, model validation, and evaluation workflows.
• Strong problem-solving skills, structured thinking, and production-quality coding practices.

Bonus Skills

• Domain exposure to Fintech/BFSI or Healthcare (e.g., credit underwriting, claims automation, KYC).
• Experience with vector databases (FAISS, Pinecone, Weaviate) and semantic search.
• Knowledge of MLOps tools (MLflow, Airflow, Kubeflow).
• Experience integrating GenAI into SaaS or enterprise products.

Education

• B.Tech / M.Tech / MS in Computer Science, Data Science, or related field.
• (Equivalent hands-on experience will also be considered.)

Why Join

• Build AI systems from prototype to production for live enterprise use.
• Work with a senior AI and product team that values ownership, innovation, and impact.
• Exposure to LLMs, GenAI, and Document AI in large-scale enterprise environments.
• Competitive compensation, career growth, and a flexible work culture.

Company Overview-

A venture-backed funded startup valued at 30.5 Million Dollars.

The team co-founders are both IIT-IIM Alumni with a strong professional background and are backed by some of the leading global and Indian funds and entrepreneurs.

Role Overview 

As a  Backend Engineer, you will be working closely with our core team in building products from scratch into large-scale platforms and solving business problems leveraging new and innovative technology. More than anything, we are looking for engineers that are eager to learn and build a meaningful company. We are a small team and encourage engineers to wear many hats

Responsibilities 

- Design and build highly reliable and performant applications that deliver a great user experience. 

- Own large technical deliverables and execute in a structured manner. - Take accountability for the overall health of the applications you build. - Platform components as libraries, utilities and promote reuse. 

- Be able to conceptualize and develop prototypes quickly 

Skills & Requirements 

▪ Work Experience between 1-3 years in large scale applications with the desire to work in fast-paced startups 

▪ Experience/Knowledge of Node.JS, Express.JS, AWS, MongoDB. 

As a customer success manager your goal will be to provide outstanding customer service to our clients by developing effective customer service procedures, implementing customer loyalty programs, and Improve customer experience and customer satisfaction (Customer Love metrics)

• Be the single point of contact for all your customers from the time they sign the contract.
• Establish a trusted relationship with them and help them succeed with QDC through product adoption and delivering value promised.
• Understand the customer’s goals, org structure, key challenges, and define their success.
• Work with sales and on-boarding team to plan and execute a seamless customer on-boarding process, ensuring a smooth ‘go live’.
• Identify customer insights and pain points and help shape the product roadmap by providing active feedback to the product team.
• Proactively identifying and prioritizing resources and effort according to perceived risk, potential growth, strategic value and renewal timeframe, making sure subscriptions are renewed timely.
• Monitor at-risk customer behavior and carry out activities to retain them.
• Own churn and expansion for all your accounts.
• Identify opportunities for portfolio growth and contact customers for upsells.
• Work towards turning customers into advocates of QDC.
• Collaborate with the Marketing team to build customer case studies, testimonials, and referrals. 

• At least 2+ years of work experience in a customer-facing role such as Customer Success, Account Management and Sales, etc.
• Ability to understand a software product and its nuances very well.
• Excellent written and verbal business communication skills.
• Strong problem-solving skills, technical and analytical aptitude with the ability to quickly learn and adopt technical products.
• Ready to work during US hours - in future

We are on a mission to make Dry Cleaners and Laundry business winning in the digital era.

We believe in 

• Helping traditional laundries to come at par with digital businesses: Traditional We help laundry businesses adapt modern technology and deliver the customer experience that today’s digital businesses like Swiggy, OLA and Flipkart are delivering. We feel successful when we hear stories like https://www.youtube.com/watch?v=EbB828K28zs&;feature=emb_title">these.
• Building a large profitable business: We envision building a capital-efficient, large profitable business to achieve our mission of making laundry business win. This means less dependence on investors & more ownership with the team. We are one of the few profitable Indian SaaS startups buildinghttps://valuesaas.co/"> value SaaS
• Employee Wellness <> Customer Success: We give as much importance to each team member’s personal & professional success as much as we care about our customer's success. We believe it’s all about balance.

Our impact so far

• 3 Billion garments processed through QDC Dry Cleaning Cloud
• 47 countries
• 1000+ Paid subscribers
• 5000+ Users
• All this could be achieved with a nimble team of 20 from our single office in Noida

• Freedom & Responsibility: If you are a person who wants to take up challenging work & push your boundaries with no one monitoring you, then this is the right place for you. There are no hierarchies. No managers to please.
• Holistic Growth: Building a career doesn’t have to be at the cost of missing out on your personal front. We believe that professional success is worth when the personal goals are nurtured with equal importance. We will support you all in on that journey of yours.
• Transparency: If you ever wanted to know what it’s like to be on an entrepreneurial journey, then working with QDC gives you that opportunity to experience it all first hand.

Position Overview: 

We are searching for an experienced Senior MERN Stack Developer to lead our development 

efforts. Your expertise will drive the creation of cutting-edge web applications while 

mentoring junior developers and contributing to technical strategy.

Key Responsibilities:

• Lead and participate in the architecture, design, and development of complex 

applications.

• Mentor and guide junior developers, fostering skill development and growth.

• Collaborate with cross-functional teams to define technical roadmaps and strategies.

• Conduct code reviews and ensure adherence to coding standards and best practices.

• Stay updated with emerging technologies and advocate for their integration.

• Develop and maintain robust and scalable web applications using the MERN stack.

• Collaborate with front-end and back-end developers to define and implement 

innovative solutions.

• Design and implement RESTful APIs for seamless integration between front-end and 

back-end systems.

• Work closely with UI/UX designers to create responsive and visually appealing user 

interfaces.

• Troubleshoot, debug and optimize code to ensure high performance and reliability.

• Implement security and data protection measures in line with industry best practices.

• Stay updated on emerging trends and technologies in web development.

Qualifications & Skills:

• Bachelor’s or Master’s degree in Computer Science or related field.

• Proven experience as a Senior MERN Stack Developer.

• Strong proficiency in React.js, Node.js, Express.js, and MongoDB.

• Strong proficiency in Typescript, JavaScript, HTML, and CSS.

• Familiarity with front-end frameworks like Bootstrap, Material-UI, etc.

• Experience with version control systems, such as Git.

• Knowledge of database design and management, including both SQL and NoSQL 

databases.

• Leadership skills and the ability to guide and inspire a team.

• Excellent problem-solving abilities and a strategic mindset.

• Effective communication and collaboration skills.

• Knowledge of AWS and s3 cloud storage

Location: The position is based in Hyderabad.

Join us in revolutionizing education! If you are a passionate MERN Stack developer with a 

vision for transforming education in line with NEP2020, we would love to hear from you. Apply 

now and be part of an innovative team shaping the future of education.

Qualification: CA Qualification

Location: Mumbai CST

Language: Marathi

Exper: 2 minimum

Tentative Roles and Responsibilities -

• Understanding the data requirements of each desk
• Gathering elementary level Master data by visiting each of the 15 desks
• Assess the data points of information flow in Supply Chain Management Application and mapping it with the data points of the integrated financial management system
• Assess the gathered data for optimizing the information flow in the department
• Assess the integration points and workflows of Financial Institute with other entities
• Preparation of report formats for each desk
• Review and monitor the development of key financial modules for claim settlement, reimbursements, proforma accounts, budgeting and expenditure, accounts and bookkeeping, purchase management and infrastructure and administration
• Ensuring implementation of Accounting Management related Services and coordination with appointed CA firm for its completion
• Co-ordinate with different stakeholders to appraise issues at their end, which may lead to delay in the project, suggest solutions to remove the bottlenecks
• Support in reviewing, monitoring, and management of performance and conformance to the vendor's SLA
• Develop training plans and managing the training phases for the users on the functions and operations of the new application
• Drive change management during the transition phase
• Identifying key risk areas and mitigation and management of risks
• Providing technical and project management support during implementation and post-implementation

We are looking for an outstanding ML Architect (Deployments) with expertise in deploying Machine Learning solutions/models into production and scaling them to serve millions of customers. A candidate with an adaptable and productive working style which fits in a fast-moving environment.

Skills:

- 5+ years deploying Machine Learning pipelines in large enterprise production systems.

- Experience developing end to end ML solutions from business hypothesis to deployment / understanding the entirety of the ML development life cycle.
- Expert in modern software development practices; solid experience using source control management (CI/CD).
- Proficient in designing relevant architecture / microservices to fulfil application integration, model monitoring, training / re-training, model management, model deployment, model experimentation/development, alert mechanisms.
- Experience with public cloud platforms (Azure, AWS, GCP).
- Serverless services like lambda, azure functions, and/or cloud functions.
- Orchestration services like data factory, data pipeline, and/or data flow.
- Data science workbench/managed services like azure machine learning, sagemaker, and/or AI platform.
- Data warehouse services like snowflake, redshift, bigquery, azure sql dw, AWS Redshift.
- Distributed computing services like Pyspark, EMR, Databricks.
- Data storage services like cloud storage, S3, blob, S3 Glacier.
- Data visualization tools like Power BI, Tableau, Quicksight, and/or Qlik.
- Proven experience serving up predictive algorithms and analytics through batch and real-time APIs.
- Solid working experience with software engineers, data scientists, product owners, business analysts, project managers, and business stakeholders to design the holistic solution.
- Strong technical acumen around automated testing.
- Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.)
- Strong hands-on experience with statistical packages and ML libraries (e.g., Python scikit learn, Spark MLlib, etc.)
- Experience in effective data exploration and visualization (e.g., Excel, Power BI, Tableau, Qlik, etc.)
- Experience in developing and debugging in one or more of the languages Java, Python.
- Ability to work in cross functional teams.
- Apply Machine Learning techniques in production including, but not limited to, neuralnets, regression, decision trees, random forests, ensembles, SVM, Bayesian models, K-Means, etc.

Roles and Responsibilities:

Deploying ML models into production, and scaling them to serve millions of customers.

Technical solutioning skills with deep understanding of technical API integrations, AI / Data Science, BigData and public cloud architectures / deployments in a SaaS environment.

Strong stakeholder relationship management skills - able to influence and manage the expectations of senior executives.
Strong networking skills with the ability to build and maintain strong relationships with both business, operations and technology teams internally and externally.

Provide software design and programming support to projects.

 Qualifications & Experience:

Engineering and post graduate candidates, preferably in Computer Science, from premier institutions with proven work experience as a Machine Learning Architect (Deployments) or a similar role for 5-7 years.