Sr. Affiliate Marketing Manager

Job Title: IntelliMatch

Location: Bangalore (Hydrid)

Experience: 6+ Years

Employment Type: Full-time

Role:

We are looking for a highly skilled and experienced professional with deep knowledge in IntelliMatch and Microsoft SQL Server (MSSQL) to join our dynamic team. The ideal candidate should have a strong understanding of financial reconciliations and hands-on experience implementing IntelliMatch solutions in enterprise environments. Working experience with ETL tools preferably Informatica.

Key Responsibilities:

• Design, configure, and implement reconciliation processes using IntelliMatch.
• Manage and optimize data processing workflows in MSSQL for high-performance reconciliation systems.
• Working experience with ETL tools preferably Informatica
• Collaborate with business analysts and stakeholders to gather reconciliation requirements and translate them into technical solutions.
• Troubleshoot and resolve complex issues in the reconciliation process.
• Ensure data accuracy, integrity, and compliance with business rules and controls.
• Support end-to-end testing and deployment processes.
• Document technical solutions and maintain configuration records.
• 6+ years of IT experience with a strong focus on IntelliMatch (FIS) implementation and support.
• Hands-on expertise in MSSQL writing complex queries, stored procedures, performance tuning, etc.
• Strong knowledge of reconciliation workflows in financial services.
• Ability to work independently in a fast-paced environment.

We are looking for a talented and driven Data Scientist to join our growing Analytics team in India. In this role, you will work at the intersection of advanced machine learning, scalable MLOps infrastructure, and domain-specific healthcare analytics. You will collaborate closely with cross-functional teams to build, deploy, and maintain production-grade ML models that drive real-world impact in clinical trials and healthcare operations.

KEY RESPONSIBILITIES

End-to-End ML Development

•     Design, build, and optimize predictive models across the full ML lifecycle—from data ingestion to model serving.

•     Conduct rigorous Exploratory Data Analysis (EDA) to surface insights and drive feature engineering decisions.

•     Validate model performance using appropriate statistical techniques and domain knowledge.

MLOps & Production Deployment

•     Deploy, monitor, and maintain production-grade ML models using Databricks MLFlow endpoints and Unity Catalog.

•     Implement CI/CD pipelines for model versioning, experiment tracking, and automated retraining.

•     Ensure model reliability, observability, and performance in live production environments.

Language Models & LLM Applications

•     Apply transformer-based models (BERT, ClinicalBERT, Trial2Vec) for NLP tasks including classification, NER, and information extraction.

•     Build and maintain vector similarity search pipelines for semantic retrieval and recommendation use cases.

•     Fine-tune pre-trained models for domain-specific applications in clinical and healthcare contexts.

•     Support exploratory work around LLM integration and prompt engineering for internal tooling.

Domain-Driven Analytics

•     Apply advanced analytics within complex healthcare and clinical trial datasets—including patient records, trial protocols, and adverse event data.

•     Translate ambiguous business problems into structured analytical frameworks with measurable outcomes.

•     Partner with domain experts, product managers, and engineering teams to deliver data-driven solutions.

REQUIRED QUALIFICATIONS

Education

•     Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Bioinformatics, or a closely related field.

Experience

•     2–4 years of hands-on experience in a data science or machine learning role.

•     Demonstrable experience deploying ML models in production environments (not just prototyping).

Technical Skills

•     Strong proficiency in Python (pandas, NumPy, scikit-learn, PyTorch / TensorFlow).

•     Experience with Databricks, MLFlow (experiment tracking, model registry, endpoints), and Unity Catalog.

•     Hands-on experience with BERT-family models and Hugging Face Transformers library.

•     Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate) and embedding-based retrieval.

•     Solid understanding of SQL and working with large structured/unstructured datasets.

•     Exposure to cloud platforms (AWS / GCP / Azure) and distributed computing frameworks (Spark).

GOOD TO HAVE

•     Prior experience with clinical trial data standards (CDISC, CDASH, SDTM) or healthcare ontologies (SNOMED, ICD-10).

•     Familiarity with Trial2Vec or similar trial-to-vector embedding approaches.

•     Experience with LLM fine-tuning, RAG pipelines, or prompt engineering in a production setting.

•     Knowledge of regulatory and compliance considerations in healthcare AI (e.g., FDA guidelines, HIPAA).

•     Contributions to open-source ML projects or published research.

THIS ROLE IS NOT FOR YOU IF…

•     You have strong SQL/BI skills but limited hands-on ML modelling experience — or you’ve built models only in notebooks without ever deploying them to production.

•     Your LLM exposure is limited to API calls and prompt engineering — with no experience fine-tuning models, working with embeddings, or building vector search pipelines.

Greetings of the day !

ONLY FEMALE CANDIDATES NEEDED

Role = Customer care Executive

Location = Andheri(E), Mumbai

6 day working Rotational off

Good communication skills

Experience range = Fresher to 4 years

ABOUT THE ROLE

Position = CUSTOMER CARE EXECUTIVE

Answering calls

Resolving queries and issues over the phone

Assisting the customer

Opportunity

As a Technical Support Specialist, you will provide the highest level of support to every customer, through every interaction. You will work closely with other teams (onboarding, customer success, and engineering) to ensure that customer accounts have the technical support necessary to be set up for success. You will manage and troubleshoot third-party integrations, build and use technology resources for the Customer Experience and Solutions team, and act as an escalation point for the rest of the team.

We’re looking for someone who is highly-motivated and detail-oriented. You’re also passionate about people as much as you are about getting your work done. You have a natural fluidity and thoughtfulness to your written and verbal communication with customers. On top of that, you’re incredibly organized, handling multiple responsibilities at the same time without letting a single ball drop. 

Our perfect team member has a customer-first attitude with a strong sense of empathy. More importantly, you have a natural curiosity and aptitude for technology and can quickly learn how to use new tools.

Past experience in technical customer support (email, phone, chat or live) is definitely a plus. If this sounds like you, we’d love to hear from you!

Responsibilities

• You will be the face of QDC, handling inbound interactions through (chat, email, phone and remote session)
• Learn to triage incoming customer inquiries and the process of escalating them by working with various team members to resolve and close tickets in pre-defined SLA.
• Reproduce customer issues and log tickets to be solved by the engineering team.
• Guide users on product features and train them to use it effectively.
• Build and maintain the resources required for technical support. (Walkthrough, set up guides, help tutorials, emails, and video tutorials)
• Take handover from the onboarding team by understanding customers' persona, their pain points, and expectation. 
• Rigorously measure support SLA & metrics and improve it continuously.
• Maintain regular communications with customers about new feature developments and enhancements to the product. 
• Consistently gain product knowledge and work towards improvements on internal processes by identifying the existing bottlenecks.

What you can expect in the next 12 months

Within 1 month

• You should have acquired a good knowledge of the laundry domain, QDC product, and process that we follow.
• Have a one-one chat with every member of the Quick Dry Cleaning team so you get to know everyone well and understand each other.
• You should have gone through at least 3 onboarding and sales experience in the buddy system.
• You should have spent a day at the laundry store to get live hands-on experience.
• You should be able to configure SMS API’s for national and international clients.
• Learn how to access and use all internal tools, including Google Apps, Zoho Desk, JIRA, Sales-IQ, CRM and reverse-shadow in each tool. 
• Shadow other Customer Support Representatives (CSRs) handling inbound interactions, gaining an understanding of common customer inquiries as well as our processes for resolution; demonstrate understanding by completing simple tickets with a CSR shadowing you. 

Within 3 months

• Independently handle hardware integration and support. 
• Become QDC expert through training and customer interaction, building a solid understanding of each feature and best practices for how to use them; handle 80% of all inbound Technical Support interactions without assistance through resolution or escalation; be able to provide creative solutions to users.

Within 6 months

• Maintain a level of customer satisfaction (we measure through CSAT scores) equal to or greater than the overall team average; help maintain all service and support content including process documentation, videos, email macros, training manuals and help articles.

Within 12 months

• Help interview, onboard and train incoming team members.
• Proactively identify, pilot and implement ways to increase efficiency in Technical Support processes; assess results and refine.

What an ideal candidate looks like?

• At least 2+ years of work experience in a customer-facing role such as Customer Support, Account Management, Sales, Corporate Training, etc. 
• Strong problem-solving skills, technical and analytical aptitude with the ability to quickly learn and adopt technical products.
• Ability to understand a software product and its nuances very well.
• Experience managing customer interactions effectively.
• Previous B2B SaaS and enterprise software experience.
• Excellent written and verbal communication skills.
• Ready to work in US Shift in the future when required.

What are we looking for?

Attitude

Skills

• Empathy
• Positive Attitude
• Patience
• Organized
• Process Driven
• Coachable
• Metrics Driven
• Attentive and Listening Skills
• Ability to explain in uncomplicated/ simple language

About Quick Dry Cleaning

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 adopt 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 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 building 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

Why join QDC?

• 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 it 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.
• Great Environment: We spend more time of our day at work than at home while awake, so it is important that we feel comfortable in our workplace. Our office space is fun and the team is funnier. We never miss out on any opportunity to have fun. We don’t experience Monday blues rather we have Monday excitement.

Job Description - Sr Azure Data Engineer

Roles & Responsibilities:

1. Hands-on programming in C# / .Net,
2. Develop serverless applications using Azure Function Apps.
3. Writing complex SQL Queries, Stored procedures, and Views. 
4. Creating Data processing pipeline(s).
5. Develop / Manage large-scale Data Warehousing and Data processing solutions.
6. Provide clean, usable data and recommend data efficiency, quality, and data integrity.

Skills

1. Should have working experience on C# /.Net.
2. Proficient with writing SQL queries, Stored Procedures, and Views
3. Should have worked on Azure Cloud Stack.
4. Should have working experience ofin developing serverless code.
5. Must have MANDATORILY worked on Azure Data Factory.

Experience 

1. 4+ years of relevant experience

• Experience as a full stack developer or similar role.
• Knowledge of multiple back-end languages is good to have (e.g. Java, Scala, Python, C#, J2EE, Web Services) and JavaScript frameworks (e.g. Angular, React, Node.js)
• Experience developing desktop and mobile applications and familiarity with common stacks.
• Experience with large-scale distributed storage and database systems (SQL or NoSQL, e.g. MongoDB/Cassandra/MySQL).
• Superb communication and collaboration skills.
• Ability to translate business use cases into good taxonomy design.
• Demonstrable skills in understanding importance of data design.

CommerceIQ is a well funded fast growing enterprise SaaS platform that is helping brands grow and sell more on e-commerce channels through its machine learning technology. Are you excited about building distributed crawling engine at global scale that will crawl and parse 1000’s of websites with 10+ million crawls on a daily basis? Would you enjoy building something as ambitious as “Google/Facebook Ad platform” for Amazon (and other e-commerce retailers)? Does building a CI/CD and containerisation framework that will allow our products to be released and deployed every week across dozens of geographies and data centers seamlessly excite you? Do you find building machine learning models that will optimize billions of dollars in ad and promotions spend exhilarating? Do you find it super exciting to build a plug and play product UI platform where leaders of brands will spend hours daily (almost as much as an email inbox) to optimize their business? We can keep writing, but you will get the idea.

In our journey of building and scaling CommerceIQ, Engineers and data scientists in our team tackle these and many more problems daily. If you are as excited as we are after reading this, we would love to talk to you! 30+ global brands including Kellogg, Unilever, Johnson & Johnson, MARS, Nestle, Logitech and many more trust our product to manage their growth on Amazon. If you are excited about building product that will write the script for how brands sell and grow on e-commerce channels please reach out to us.

Are you ready to power intelligent commerce? @CommerceIQ, you will :

• You will be responsible for developing, testing and releasing features within time and with high quality that will drive revenue and margin impact to top brands.

• You will be designing your own features keeping in mind the scale and high availability of the systems. • You will be working with the team and expected to perform code reviews, conduct design discussions and mentor other developers.

•You will be the owner of your feature and work directly with product teams to drive customer impact.

• You will be expected to participate in all phases of the software development cycle as part of a Scrum team.

Experience : 3+ Years in developing in designing and developing complex and scalable software modules..

Skillset : • The ideal candidate will be an experienced Java developer with exceptional software system design, problem solving, and object-oriented coding skills

• Experience with distributed transaction-processing systems or asynchronous messaging technology is required.

• Good understanding of system performance trade-offs, load balancing, and engineering for high availability.

• Obsessed about building quality software and owning end to end responsibility for the developed features.

• Understanding of enterprise information systems, service oriented architectures, and operational data stores is a plus

• BS or MS in Computer Science/Engineering, Mathematics, Statistics or similar degree from a top tier institution