Business Development

Key Responsibilities

Execute comprehensive manual test cases for our e-commerce platform

Design and implement automated test scripts using Selenium or Playwright

Work with AI-based testing tools to enhance testing efficiency and coverage

Identify, document, and track bugs throughout the testing lifecycle

Collaborate with developers and product managers to resolve issues

Participate in sprint planning and review meetings

Create and maintain testing documentation

Requirements

Strong manual testing skills with attention to detail

Experience with test automation frameworks (Selenium or Playwright)

Familiarity with AI-based testing tools and approaches

Understanding of e-commerce platforms and their testing requirements

Excellent problem-solving and analytical skills

Strong communication and collaboration abilities

Experience with agile testing methodologies

Selection Process

Our hiring process involves practical assessment to ensure candidates have the hands-on experience we require:

Initial screening and interview

First-round technical assessment (practical task)

Technical interview

Second-round technical assessment (practical task)

Final interview

Note: Completion of the practical assessment tasks is mandatory for all candidates as we prioritize demonstrated skills and hands-on experience.

You can contact us on: Nine three one six one two zero one three two

1.Experience with CRMNext or similar CRM platforms

2.Familiarity with SDLC and Agile methodologies

3.Ability to analyze business requirements and deliver effective solutions

4.Proficiency in Java or .NET

5.Experience with API integrations, ESB, and Node.js

6.Strong knowledge of SQL and Oracle databases

7.Understanding of system architecture, operating systems, and data structures

8.Excellent communication skills and a collaborative approach

9.Accountability for end-to-end project delivery Preferred Profile

Candidates with a Java development background and experience in CRM applications will be given preference.

Required Skills and Qualifications:

• Proficiency in AWS Cloud services
• Strong experience with SQL for data manipulation and analysis.
• Hands-on programming experience in Python or pyspark.
• Working knowledge of Snowflake, including data modeling, performance tuning, and security configurations.
• Familiarity with CI/CD pipelines and version control (e.g., Git) is a plus.
• Excellent problem-solving and communication skills.

Note : one face-to-face (F2F) round is mandatory, and as per the process, you will need to visit the office for this.

Tasks and Responsibilities

• Understand business requirements and user needs
• Create user personas, journey maps, and various other design artifacts
• Create prototypes of varying fidelity
• Communicate design solutions to key stakeholders
• Define and track key metrics related to user experience
• Utilize quantitative and qualitative research to generate meaningful insights that will drive creative concepts

Skills and Requirements

• Experienced with 1.5+ years in Product Design/UX roles.
• Good experience in user experience and interface design, with a supporting portfolio
• Experience in designing mobile and web applications
• Experience in understanding and mapping complex user journeys
• Ability to form, prototype, and clearly communicate ideas and decisions.
• Business know-how: Understanding of business metrics and the ability to translate company goals and objectives into digital experiences
• Familiarity with prototyping tools like Figma/Sketch
• Good problem-solving and analytical skills
• Able to work well with remote, cross-functional teams
• Responsible, self-motivated, and comfortable taking the initiative.
• Attentive to the finer details and love what you do

Job title - Area Business Manager/ Area Sales Manager

Location - Mumbai

Job Responsibilities:

● Develop and implement strategic plans to achieve sales targets

● Lead and mentor a high-performing sales team

● Build and maintain strong relationships with clients and key stakeholders

● Analyze market trends and competitors to identify business opportunities

● Create business and revenue through Home Loan / LAP sales via channel partners/advisors/connectors & open market

● Effective liaison with banks/NBFCs for processing of loan cases

● Devise and implement various partner acquisition and retention programs

● Responsible for driving monthly and quarterly sales targets and other metrics

● Ability to use all communication platforms effectively (telephone, email, face-to-face)

● Devise and implement various partner acquisition and retention programs

Desired Candidate Profile

● 5+ years of experience in Home loan/LAP sales in NCR region in

● fintech/banks/NBFC/DSA channel, preferably in DSA market

● Excellent interpersonal as well as written and verbal communication skills.

● Strong team worker who can manage multiple stakeholders

● Must be highly sales-oriented and results-driven

● Working knowledge of Microsoft Office and CRM tool

BDM CUM Business Analyst

Note: Notice period is immediate to 15 days’ maximum candidates can apply.

Kindly read carefully

Role: BDM CUM Business Analyst

Work Location: LUCKNOW

Experience: Minimum 2 + years into the same key skills

Budget: open

Mode: Permanent

Job description

We are looking for a candidate with 2-5 years of experience in Business Analysis and IT project coordination with documentation in IT (Web development/application development / mobile apps development) along with international client handling experience..

Job Responsibilities:
Discussion with customer/project team to understand the requirements
Creating, analyzing, and validating detailed functional and business specifications (BRD / SRS Preparation)
Requirement walk-through and getting requirement sign-off from the customer
Analyzing the requirements of the clients and converting them into technical documents as per the specifications
Creating wireframes to determine the flow and functionalities of the application
Facilitating the negotiation of requirements amongst multiple stakeholders
Creating Proposals and other relevant documents
Creating Slide Decks required for explaining Business Solutions & Approach
Explaining the requirements to technical teams and taking the estimates for the same
Understanding the Adhoc changes and analysis on the impact and creating spec documents
Supporting testing in creating test cases and review of test cases
Allocating tasks to resources as per the milestones of the project
Coordination with the delivery team to deliver the project on or before the estimated deadline
Creating Release documents and UAT Testing of the release
Communicating with clients throughout the life cycle of a project to update them with the progress and path ahead from time to time

Skills:
- Exceptional written and verbal communication, and client-serving skills

- Must have knowledge of some analytical tools

- Ability to prioritize tasks and deliver to deadlines

- Strong relationship building, analytical, & problem-solving skills

- Must have good decision-making skills

- Must be a good team player, good learner, and self-starter

- Proactive and quick executor

- Must have demonstrable client/stakeholder management skills

- Must be self-driven with the ability to manage workload without direct supervision

• Responsible for recruitment cycle which includes Screening resumes, coordinating & conducting interviews.
• Resourcing suitable candidates through different sources, such as: Using job portals, Employee referrals, Database, References, Networking.
• Posting Jobs and Fetching Resumes from Job Portals. 
• Salary Negotiation with candidate.
• Performs detailed reference checking and/or reference analysis of selected candidates. 
• Extends offers of employment to selected candidates within the guidelines of compensation policy. 
• Other documentation which includes: validations of certificates & documents, training arrangements, briefing of company policies and rules & regulations.
• Managing welfare measures, HR - Management initiatives, employee get together, team building activities etc. to enhance motivation levels, productivity and relationship building.

• Developing and maintaining all server-side network components.
• Ensuring optimal performance of the central database and responsiveness to front-end requests.
• Collaborating with front-end developers on the integration of elements.
• Designing customer-facing UI and back-end services for various business processes.
• Developing high-performance applications by writing testable, reusable, and efficient code.
• Implementing effective security protocols, data protection measures, and storage solutions.
• Running diagnostic tests, repairing defects, and providing technical support.
• Documenting Node.js processes, including database schemas, as well as preparing reports.
• Recommending and implementing improvements to processes and technologies.
• Keeping informed of advancements in the field of Node.js development.

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.