Business Development Executive / Pre-sales Expert

Job Overview:

We are looking for a skilled and motivated Jr. Programmer Analyst with 2 years of hands-on experience in Python development and a strong understanding of software development principles. The ideal candidate should have experience with Odoo ORM, PostgreSQL, and API integration. If you have a passion for writing clean, optimized code and are excited about working in a product-based environment, we would love to meet you.

Key Responsibilities:

Develop, test, and maintain applications using Python (Pandas, NumPy, psycopg2).

Implement multi-threading and multi-processing where required.

Work on Odoo ORM, customizing and optimizing the application architecture.

Integrate third-party APIs and ensure smooth data flow between systems.

Optimize code for performance and scalability.

Collaborate with cross-functional teams using Agile methodologies.

Write efficient SQL queries and manage PostgreSQL databases.

Utilize Git for version control and contribute to CI/CD processes.

Work in a Linux environment for software development and deployment.

Support the team in product development from concept to deployment.

Technical Requirements (Must Have):

Strong proficiency in Python 3, especially:

Pandas, NumPy, Multi-threading, Multi-processing, psycopg2, API Integration

Code optimization techniques.

Experience with Odoo ORM and understanding of its architecture

Experience in FastAPI / Flask.

Proficiency in PostgreSQL and writing complex SQL queries

Familiarity with Git, HTML, CSS, and JavaScript.

Comfortable working on Linux OS.

Experience with Agile software development methodology.

Exposure to product development lifecycle.

Good to Have:

Basic knowledge of Docker.

Advanced proficiency with Linux.

Understanding of stock and crypto markets, especially candlestick patterns.

Perks & Benefits:

Opportunity to work in a fast-growing product environment.

Collaborative and supportive team culture.

Learning and development opportunities.

If you are passionate about technology and want to grow in a dynamic product-based company, we encourage you to apply!

We are currently seeking dedicated and enthusiastic female candidates for the position of Data Entry Operator at our office located in Chanakya Place, New Delhi. This is an excellent opportunity for freshers who have recently completed their education or are pursuing and are looking to gain experience in the field of data entry.

As a Data Entry Operator, your primary responsibility will be to accurately enter and update data into our database systems. Attention to detail and precision in data entry are crucial for this role to ensure the accuracy and integrity of the information.

Requirements:

*Only female candidates are eligible for this position.

*Freshers with 0 to 6 months of experience are encouraged to apply.

*Basic computer literacy and familiarity with data entry processes.

*Proficiency in typing and data entry speed with a high level of accuracy.

*Good communication skills, both written and verbal.

*Strong attention to detail and ability to maintain data confidentiality.

*Ability to work in a team environment and collaborate effectively.

Salary and Benefits:

The selected candidates will receive a basic pay scale ranging from ₹7,000 to ₹18,000 per month, based on their qualifications and performance.

Additionally, we offer a supportive work environment, opportunities for growth and learning.

If you are a motivated individual with a passion for data entry and a desire to kick-start your career in a dynamic organization, we encourage you to apply. To be considered for this position.

We appreciate your interest in joining our team.

Interested candidate can visit office address as mentioned below between 2pm - 5pm (Monday-Saturday)

Sincerely,

Team Web Infomatrix

B-68, 40 Feet Rd, Block D 1, Market, Chanakya Place, New Delhi, 110059

Role Overview:

We are seeking a highly skilled and motivated Data Scientist to join our growing team. The ideal candidate will be responsible for developing and deploying machine learning models from scratch to production level, focusing on building robust data-driven products. You will work closely with software engineers, product managers, and other stakeholders to ensure our AI-driven solutions meet the needs of our users and align with the company's strategic goals.

Key Responsibilities:

• Develop, implement, and optimize machine learning models and algorithms to support product development.
• Work on the end-to-end lifecycle of data science projects, including data collection, preprocessing, model training, evaluation, and deployment.
• Collaborate with cross-functional teams to define data requirements and product taxonomy.
• Design and build scalable data pipelines and systems to support real-time data processing and analysis.
• Ensure the accuracy and quality of data used for modeling and analytics.
• Monitor and evaluate the performance of deployed models, making necessary adjustments to maintain optimal results.
• Implement best practices for data governance, privacy, and security.
• Document processes, methodologies, and technical solutions to maintain transparency and reproducibility.

Qualifications:

• Bachelor's or Master's degree in Data Science, Computer Science, Engineering, or a related field.
• 5+ years of experience in data science, machine learning, or a related field, with a track record of developing and deploying products from scratch to production.
• Strong programming skills in Python and experience with data analysis and machine learning libraries (e.g., Pandas, NumPy, TensorFlow, PyTorch).
• Experience with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker).
• Proficiency in building and optimizing data pipelines, ETL processes, and data storage solutions.
• Hands-on experience with data visualization tools and techniques.
• Strong understanding of statistics, data analysis, and machine learning concepts.
• Excellent problem-solving skills and attention to detail.
• Ability to work collaboratively in a fast-paced, dynamic environment.

Preferred Qualifications:

• Knowledge of microservices architecture and RESTful APIs.
• Familiarity with Agile development methodologies.
• Experience in building taxonomy for data products.
• Strong communication skills and the ability to explain complex technical concepts to non-technical stakeholders.

Roles and Responsibilities:

1.    Develop, enhance, document, and maintain application features in C#/Asp.Net.

2.    Excellent understanding of Database concepts and strong ability to write well-tuned SQL Statements.

3.    Participate in design, code and test inspections throughout product life cycle to contribute technical expertise and to identify issues.

4.     Knowledge of developing desktop-based applications is also desirable.

5.    Understand technical project priorities, implementation, dependencies, risks and issues.

6.    Big Data knowledge is a Plus.

7.    Drive design reviews while adhering to security requirements.

8.    Provide direction for .Net developers and act as escalation point for questions or issues.

9.    Performs technical analysis to identify and troubleshoot application code – related issues.

Keyskills

1. Must have hands on experience with ASP_Net, ASP_Net_MVC, Asp .net 4.5 , Core

2. Must have good experience in C#

3. Must have good experience in API

4. Must have hands on experience in HTML_5, angular js,CSS,CSS,CSS3, jQuery, Bootstrap, jAVASCRIPT,

5, Must have experience in Microsoft_SQL_server

• Possess strong domain knowledge - Digital Analytics (Google Analytics, App Analytics (Firebase/AppsFlyer/Branch/MixPanel), CRO, Media Analytics 

• Ability to handle Google Analytics clients end-to-end  

• Contribute to building effective process management, mentoring teammates, reducing product & execution inefficiencies 

• Be responsible for day-to-day Google Analytics operations and performance of client accounts, requiring interaction with both internal and external stakeholders.   

• Own, manage and grow digital analytics strategies for clients.   

• Be responsible for all regular (and ad hoc) reporting and analysis of digital activity providing crucial insights, and effectively communicating this to the client.   

• Foster New Relationships with Taxi Operators, Taxi Drivers, Automobile OEM Partnership, Educate them @ the Mobile App/Software Offerings & Benefits, to convert them into signing up for the taxi application
• Maintain Existing relationships & maintain healthy nature of business to generate the Referral programs with Travel agencies and Consolidators
• Handling the Business Development activities in his/her area, assigned
• Identify & Develop Business Opportunities for product solutions for tie-up in terms of large groups of Taxi man, Selling salient points & get them to enrol along with other taxi friends of them, whilst driving things in very social & friendly manner
• Providing training on Mobile app interface and managing its implementation
• Identify opportunities to sell product & solutions in order to generate revenue for the organization by presenting new/existing products and services and enhance existing relationship
• Ensure optimum usage of the Mobile app provided to Taxi fellows & give them basic training of the mobile app to make them understand & increase the usage pattern
• Making Daily sales calls to get to the taxi people and engage with them in formal & informal way for adoption of the mobile app
• Organise small training session in office to get them more understanding
• Introducing VAS services like paying taxes, insurance, RTO regulatory paper filling & take them to centre/offices for guidance
• Encourage them to make more enrolment & design a referral program new products and functionalities on the applications of existing clients / OLTAs.
• Should be able to find new avenues & targets for finding new Taxi Operators by tie-up with Existing Database, cull out from internet the required churn of new people to call & meet them personally
• This is sales with personal driven strategy to achieve required set of targets & maintain relationship with them as well
• Solve queries of existing drivers & encourage them to resolve other queries when they are fully equipped
• Organise multiple training programs, Learning Workshops, Complaint of Mobile app for increasing overall business from exiting & new mobile app signup
• Ensuring effective achievement of targets and preparation of reports.
• Preparing and giving sales presentations to prospective customers. 
• Monitoring industry trends as well as competition.

REQUIREMENT:

•  Previous experience of working in large scale data engineering
•  4+ years of experience working in data engineering and/or backend technologies with cloud experience (any) is mandatory.
•  Previous experience of architecting and designing backend for large scale data processing.
•  Familiarity and experience of working in different technologies related to data engineering – different database technologies, Hadoop, spark, storm, hive etc.
•  Hands-on and have the ability to contribute a key portion of data engineering backend.
•  Self-inspired and motivated to drive for exceptional results.
•  Familiarity and experience working with different stages of data engineering – data acquisition, data refining, large scale data processing, efficient data storage for business analysis.
•  Familiarity and experience working with different DB technologies and how to scale them.

RESPONSIBILITY:

•  End to end responsibility to come up with data engineering architecture, design, development and then implementation of it.
•  Build data engineering workflow for large scale data processing.
•  Discover opportunities in data acquisition.
•  Bring industry best practices for data engineering workflow.
•  Develop data set processes for data modelling, mining and production.
•  Take additional tech responsibilities for driving an initiative to completion
•  Recommend ways to improve data reliability, efficiency and quality
•  Goes out of their way to reduce complexity.
•  Humble and outgoing - engineering cheerleaders.