Sales Executive

Review Criteria

• Strong Data Scientist/Machine Learnings/ AI Engineer Profile
• 2+ years of hands-on experience as a Data Scientist or Machine Learning Engineer building ML models
• Strong expertise in Python with the ability to implement classical ML algorithms including linear regression, logistic regression, decision trees, gradient boosting, etc.
• Hands-on experience in minimum 2+ usecaseds out of recommendation systems, image data, fraud/risk detection, price modelling, propensity models
• Strong exposure to NLP, including text generation or text classification (Text G), embeddings, similarity models, user profiling, and feature extraction from unstructured text
• Experience productionizing ML models through APIs/CI/CD/Docker and working on AWS or GCP environments
• Preferred (Company) – Must be from product companies

Job Specific Criteria

• CV Attachment is mandatory
• What's your current company?
• Which use cases you have hands on experience?
• Are you ok for Mumbai location (if candidate is from outside Mumbai)?
• Reason for change (if candidate has been in current company for less than 1 year)?
• Reason for hike (if greater than 25%)?

Role & Responsibilities

• Partner with Product to spot high-leverage ML opportunities tied to business metrics.
• Wrangle large structured and unstructured datasets; build reliable features and data contracts.
• Build and ship models to:
• Enhance customer experiences and personalization
• Boost revenue via pricing/discount optimization
• Power user-to-user discovery and ranking (matchmaking at scale)
• Detect and block fraud/risk in real time
• Score conversion/churn/acceptance propensity for targeted actions
• Collaborate with Engineering to productionize via APIs/CI/CD/Docker on AWS.
• Design and run A/B tests with guardrails.
• Build monitoring for model/data drift and business KPIs

Ideal Candidate

• 2–5 years of DS/ML experience in consumer internet / B2C products, with 7–8 models shipped to production end-to-end.
• Proven, hands-on success in at least two (preferably 3–4) of the following:
• Recommender systems (retrieval + ranking, NDCG/Recall, online lift; bandits a plus)
• Fraud/risk detection (severe class imbalance, PR-AUC)
• Pricing models (elasticity, demand curves, margin vs. win-rate trade-offs, guardrails/simulation)
• Propensity models (payment/churn)
• Programming: strong Python and SQL; solid git, Docker, CI/CD.
• Cloud and data: experience with AWS or GCP; familiarity with warehouses/dashboards (Redshift/BigQuery, Looker/Tableau).
• ML breadth: recommender systems, NLP or user profiling, anomaly detection.
• Communication: clear storytelling with data; can align stakeholders and drive decisions.

Position Overview:

As a BI (Business Intelligence) Developer, they will be responsible for designing,

developing, and maintaining the business intelligence solutions that support data

analysis and reporting. They will collaborate with business stakeholders, analysts, and

data engineers to understand requirements and translate them into efficient and

effective BI solutions. Their role will involve working with various data sources,

designing data models, assisting ETL (Extract, Transform, Load) processes, and

developing interactive dashboards and reports.

Key Responsibilities:

1. Requirement Gathering: Collaborate with business stakeholders to understand

their data analysis and reporting needs. Translate these requirements into

technical specifications and develop appropriate BI solutions.

2. Data Modelling: Design and develop data models that effectively represent

 the underlying business processes and facilitate data analysis and reporting.

Ensure data integrity, accuracy, and consistency within the data models.

3. Dashboard and Report Development: Design, develop, and deploy interactive

dashboards and reports using Sigma computing. 

4. Data Integration: Integrate data from various systems and sources to provide a

comprehensive view of business performance. Ensure data consistency and

accuracy across different data sets.

5. Performance Optimization: Identify performance bottlenecks in BI solutions and

optimize query performance, data processing, and report rendering. Continuously

monitor and fine-tune the performance of BI applications.

6. Data Governance: Ensure compliance with data governance policies and

standards. Implement appropriate security measures to protect sensitive data.

7. Documentation and Training: Document the technical specifications, data

models, ETL processes, and BI solution configurations.

8. Ensuring that the proposed solutions meet business needs and requirements.

9. Should be able to create and own Business/ Functional Requirement

Documents.

10. Monitor or track project milestones and deliverables.

11. Submit project deliverables, ensuring adherence to quality standards.

Qualifications and Skills:

1. Master/ Bachelor’s degree in IT or relevant and having a minimum of 2-4 years of

experience in Business Analysis or a related field 

2. Proven experience as a BI Developer or similar role.

3. Fundamental analytical and conceptual thinking skills with demonstrated skills in

managing projects on implementation of Platform Solutions 

4. Excellent planning, organizational and time management skills.

5. Strong understanding of data warehousing concepts, dimensional modelling, and

ETL processes.

6. Proficiency in SQL, Snowflake for data extraction, manipulation, and analysis.

7. Experience with one or more BI tools such as Sigma computing.

8. Knowledge of data visualization best practices and ability to create compelling

data visualizations.

9. Solid problem-solving and analytical skills with a detail-oriented mindset.

10. Strong communication and interpersonal skills to collaborate effectively with

different stakeholders.

11. Ability to work independently and manage multiple priorities in a fast-paced

environment.

12. Knowledge of data governance principles and security best practices.

13. Candidate having experience in managing implementation project of platform

solutions to the U.S. clients would be preferable. 

14. Exposure to U.S debt collection industry is a plus.

Location: New Delhi, India

Shift: (aligned with US / international time zones) -2pm TO 8:30 pm, 11 pm to 830am IST

Experience: Minimum 5+ years

Employment Type: Full-time

Role Overview

We are seeking a highly capable Executive Assistant (Night Shift) to support senior leadership in working with global teams and international stakeholders. This role requires excellent English communication skills, strong organisational discipline, and the ability to operate independently outside IST business hours.

The ideal candidate will be confident handling calls, emails, scheduling, and task coordination across time zones with professionalism and accuracy.

Key Responsibilities

Executive & Global Coordination

Provide dedicated administrative support to senior executives during night shift hours

Manage calendars and scheduling across multiple global time zones

Coordinate international meetings, calls, and virtual conferences

Communication & Stakeholder Interaction

Handle calls, emails, and messages from global clients, partners, and internal teams

Represent leadership professionally in all verbal and written communications

Draft and respond to emails, follow-ups, and summaries with clarity and precision

Task & Priority Management

Track action items from meetings and communications

Maintain structured task lists and ensure timely follow-ups

Coordinate with day-shift teams to ensure continuity and handover

Administrative Operations

Manage documents, records, and confidential information securely

Support general administrative and operational requirements during night hours

Required Qualifications & Skills

Minimum 8+ years of experience as an Executive Assistant or similar role

Outstanding spoken and written English skills (mandatory)

Strong ability to communicate confidently with international stakeholders

Excellent organizational and multitasking capabilities

Ability to work independently with minimal supervision

Proficiency in MS Office / Google Workspace

High professionalism, discretion, and reliability

Preferred Attributes

Prior experience working night shifts or with global teams

Strong ownership mindset and proactive problem-solving ability

Ability to manage pressure and prioritize effectively

Job Types: Full-time, Permanent

Benefits:

• Provident Fund

Job Description - Sr. SDET

Creator of frameworks and tools that help engineering move fast. Advocates best practices. Metric & Data-driven in

decisions.

Do you thrive to help ship awesome software, not just prevent poor software from being released?

At TestVagrant we believe that shipping awesome software requires more than just testing and test automation. It

involves constant improvements to processes, tools, testing techniques, and approaches. It involves collaborating

with engineering & business teams, collecting metrics, analysing data, and innovating constantly.

If you're someone who champions & advocates quality, understands risks, and is courageous to drive the change,

then this position was made for you!

More about TestVagrant

We are a team of software consultants specializing in test engineering. We partner with our clients in their ambitious digital missions & integrate business, engineering, and technology to deliver quality software faster and safer.

As consultants, our goal is to ship awesome software. By expanding our identities and playing overlapping roles

across business, engineering & technology, we bring a deeper and more positive impact in amplifying business growth for our clients.

Our engineers have been building and contributing to open-source projects. Ekam.Studio and Optimus are a few to mention. Our thoughts and opinions are reflected in articles, blogs, and books.

You’ll spend time on the following:

● You will proactively seek out ways to avoid common software-testing problems such as test case duplication,

flaky tests, and maintainability

● You will pair including but not limited to devs, business analysts, engineering managers and operations to

identify gaps & improve team efficiencies

● Strive for quality to be baked-in and aspire to shift quality to the left

● Extend your passion for quality assurance practices to enable the engineering teams & coaches to adopt a

testing mindset.

● Spike, Compare and choose the right tools and eco-system for scalable and fast test automation

● Drive the creation of reliable automated testing frameworks with strong reporting capabilities that ensures

simple, effective analysis of failures for your team to use

● Capture metrics to measure the quality and make decisions that improve quality

The outcomes of this role include:

● The team is able to get faster feedback for changes and express confidence in safety-net

● The team is able to measure and gain insights into improvements to the product quality

● Team expresses increased confidence and trust in test assets

You’ll also spend time on the following:

● Storytelling and socializing the tech and engineering success stories across TestVagrant

● Take initiative and participate in others, that move organization forward, aligning with tech and engineering first culture

● Mentor the SDETs to grow in the direction of Sr. SDETs

● To achieve the above, most of the following experience is a must:

● You have worked as a Quality Analyst as part of a distributed engineering team, pairing with Devs, Business Analysts, and Infra teams

● You have championed the quality domain and are proficient in functional, non-functional, and exploratory testing techniques

● You have championed the testing domain and applied wisdom to prevent common mistakes

● You have collaborated with business and engineering teams to arrive at non-functional requirement

● You have contributed to various layers of the test pyramid

● You have designed, developed, and evolved scalable test automation frameworks from scratch

● You have proficiency in automation tools and techniques, including but not limited to Web, Mobile, and APIs

● You have the ability to pick up new tech stack and contribute to developing test assets

● You have worked with code coverage tools, linting, and static code analysers

Job Description:

Working proficiency in developmental toolsets like Jira, Bitbucket, Splunk, Dynatrace etc.

Proficiency in Java/J2EE, Web Service, Micro service, Spring Boot, Kafka

Experience in developing, deploying and administering Java applications ,Java spring, Java Spring MVC, Spring Batch, Web services (REST and SOAP), HTML5, JavaScript, CSS, XML, Rest API, GIT, Tomcat.

Experience of Agile team working

REST API's & Spring experience is must. Spark experience is added advantage.

Regards,
Jyothi.

• Writing scalable, robust,, testable, efficient, and easily maintainable code

• Translating software requirements into stable, working, high performance software

• Playing a key role in architectural and design decisions, building toward an efficient micro services distributed architecture

• (Add other relevant responsibilities here)

• Strong knowledge of Go programming language, paradigms, constructs, and idioms

• Knowledge of common Goroutine and channel patterns

• Experience with the full site of Go frameworks and tools, including:

  • Dependency management tools such as Godep, Sltr, etc.
  • Go’s templating language
  • Go’s code generation tools, such as Stringer
  • Popular Go web frameworks, such as Revel
  • Router packages, such as Gorilla Mux

• Ability to write clean and effective Godoc comments

• Familiarity with code versioning tools (such as Git, SVN, and Mercurial)