Sales Engineers

Job Requirements :

- Candidate should have 2-5 years of regular working experience.

- Must have expertise in React js, Redux, MongoDB, MySql, NoSQL.

- Must have done multiple projects using React js, Redux, with Cross browser/device compatibility.

- Good knowledge of events handling in client-side and server-side.

- Good knowledge of code versioning tools, such as Git/bitbucket

- Good logical and mathematical programming skills.

• Ability to work independently and as part of a team in a fast-paced environment.
•        Experience with native development (iOS/Android).
•        Worked on deep linking in mobile apps
•        Hands on experience in Bridging Native code base to react native.

ROLES AND RESPONSIBILITIES:

We are looking for a seasoned industry professional who has a high-performance background in ad tech business operations, partner account management & revenue optimization, team management & overall strategy driving the business. As a DSP agnostic platform, our focus is to grow the ad-exchange business while helping direct advertisers hit their KPIs.The candidate should have good analytical skills, can interpret and work with big data and should be technically inclined (coding not required) As a strategic advisor to your clients, you will have the ability to be proactive, work independently, and possess excellent customer-facing communication skills. You will act as the primary point of contact for your clients and will be responsible for ensuring their success.

JOB DESCRIPTION:

• Own all strategic and operational aspects of client relationships, including overseeing integration and onboarding of new partners
• Use strong analysis, interpretation and independent judgment to strategize and identify revenue opportunities for PnL growth
• Liaise with internal teams like product and engineering to execute strategies and deliver custom client requirements
• Ensure clients receive the highest level of customer service and support
• Conduct research to gather intelligence on competitor products and constantly update yourself on the ad tech landscape

IDEAL CANDIDATE:

• Bachelor's degree in Marketing, Advertising, or a related field.
• Minimum 2-3 years of relevant experience in areas mentioned.
• Proven account management experience working with top DSPs like Google DV 360/TTD/Criteo to grow their spends through company Exchange
• Strong understanding of programmatic advertising concepts, including audience targeting, bidding strategies, and ad formats
• Excellent communication and interpersonal skills, with the ability to build and maintain strong client relationships.
• Proactive mindset, capable of identifying opportunities for improvement and taking initiative to implement them.
• Strong organizational and time management abilities, with the capability to handle multiple projects and deadlines simultaneously.
• Ability to work independently and as part of a team, with a high level of self-motivation and accountability.
• Familiarity with other digital advertising platforms and technologies, such as social media advertising and ad exchanges, is a plus.

PERKS, BENEFITS AND WORK CULTURE:

• Flexible work hours and leaves
• Salary advance
• Maternity/Paternity leave benefits & adoption assistance
• Butler & Concierge services
• Team Off-sites & Celebrations

BEYOND WORK:

• Insurance benefits for you and family
• Interest-free loans
• Gift vouchers for special moments
• Fully-equipped Gym
• Education Sponsorship Programs

Description

JOB DESCRIPTION – SENIOR ANALYST – DATA SCIENTIST 

Key Responsibilities ·       

Work with business stakeholders and cross-functional SMEs to deeply understand business context and key business questions·       

Advanced skills with statistical/programming in Python and data querying languages (e.g., SQL, Hadoop/Hive, Scala)·       

Solid understanding of time-series forecasting techniques·       

Good hands-on skills in both feature engineering and hyperparameter optimization·       

Able to write clean and tested code that can be maintained by other software engineers·       

Able to clearly summarize and communicate data analysis assumptions and results·       

Able to craft effective data pipelines to transform your analyses from offline to production systems·       

Self-motivated and a proactive problem solver who can work independently and in teams·       

Connects both externally and internally to understand industry trends, technology advances and outstanding processes or solutions·       

Is collaborative and engages (strategic & tactical. Able to influence without authority, handle complex issues and implement positive change·       

Work on multiple pillars of AI including cognitive engineering, conversational bots, and data science·       

Ensure that solutions exhibit high levels of performance, security, scalability, maintainability, repeatability, appropriate reusability, and reliability upon deployment ·       

Provide guidance and leadership to more junior data scientists, managing processes and flow of work, vetting designs, and mentoring team members to realize their full potential·       

Lead discussions at peer review and use interpersonal skills to positively influence decision making·       

Provide subject matter expertise in machine learning techniques, tools, and concepts; make impactful contributions to internal discussions on emerging practices·       

Facilitate cross-geography sharing of new ideas, learnings, and best-practices 

What We Are Looking For 

Required Qualifications ·       

Master's degree in a quantitative field such as Data Science, Statistics, Applied Mathematics or Bachelor's degree in engineering, computer science, or related field. ·       

4 – 6 years of total work experience as data scientist or analytical role, with at least 2-3 years of experience in time series forecasting·       

A combination of business focus, strong analytical and problem-solving skills, and programming knowledge to be able to quickly cycle hypothesis through the discovery phase of a project ·       

Strong experience in Time Series Forecasting and Demand Planning ·       

Advanced skills with statistical/programming software (e.g., R, Python) and data querying languages (e.g., SQL, Hadoop/Hive, Scala) ·       

Good hands-on skills in both feature engineering and hyperparameter optimization ·       

Experience producing high-quality code, tests, documentation·       

Understanding of descriptive and exploratory statistics, predictive modelling, evaluation metrics, decision trees, machine learning algorithms, optimization & forecasting techniques, and / or deep learning methodologies·       

Proficiency in statistical concepts and ML algorithms·       

Ability to lead, manage, build, and deliver customer business results through data scientists or professional services team·       

Ability to share ideas in a compelling manner, to clearly summarize and communicate data analysis assumptions and results·       

Self-motivated and a proactive problem solver who can work independently and in teams·       

Outstanding verbal and written communication skills with the ability to effectively advocate technical solutions to engineering and business teams 

Desired Qualifications ·      

Experience working in one or multiple supply chain functions (e.g., procurement, planning, manufacturing, quality, logistics) is strongly preferred ·       

Experience in applying AI/ML within a CPG or Healthcare business environment is strongly preferred ·       

Experience in creating CI/CD pipelines for deployment using Jenkins. ·       

Experience implementing MLOPs framework along with understanding of data security·       

Implementation on ML models·       

Exposure to visualization packages and Azure tech stack.  

Must have skills

Python - 2 years

Data Science - 4 years

SQL - 2 years

Machine Learning - 2 years

Nice to have skills

Data Analysis - 4 years

Time Series Forecasting - 2 years

Demand Planning - 2 years

Hadoop - 2 years

Statistical concepts - 2 years

Supply chain functions - 2 years

Job Description: Data Engineer 

Position Overview:

Role Overview

We are seeking a skilled Python Data Engineer with expertise in designing and implementing data solutions using the AWS cloud platform. The ideal candidate will be responsible for building and maintaining scalable, efficient, and secure data pipelines while leveraging Python and AWS services to enable robust data analytics and decision-making processes.

Key Responsibilities

· Design, develop, and optimize data pipelines using Python and AWS services such as Glue, Lambda, S3, EMR, Redshift, Athena, and Kinesis.

· Implement ETL/ELT processes to extract, transform, and load data from various sources into centralized repositories (e.g., data lakes or data warehouses).

· Collaborate with cross-functional teams to understand business requirements and translate them into scalable data solutions.

· Monitor, troubleshoot, and enhance data workflows for performance and cost optimization.

· Ensure data quality and consistency by implementing validation and governance practices.

· Work on data security best practices in compliance with organizational policies and regulations.

· Automate repetitive data engineering tasks using Python scripts and frameworks.

· Leverage CI/CD pipelines for deployment of data workflows on AWS.

• Identify and prospect new business opportunities and generate sales leads

• Contact potential clients and promote the company's products and services

• Build and maintain strong relationships with exhibitors and sponsors

• Conduct market research and keep up-to-date with industry trends and developments

• Develop customized proposals and presentations for potential clients

• Negotiate contracts and close deals with clients

• Meet and exceed sales targets on a regular basis

• Attend industry events and exhibitions to network and build relationships

• Collaborate with other team members to ensure the smooth running of exhibitions

Job title: Front End Senior Developer 

Job description 

Roles and Responsibilities 

1.Collaborate with cross-functional teams to define, design, and push new front-end solutions. 

2.Translate UI/UX design wireframes to actual code that will produce visual elements of the application. 

3.Unit-testing code for robustness, including edge cases, usability, and general reliability. 

4.Create and be accountable for user interaction models, workflows, information architecture, prototypes, and guidelines for user interfaces. 

5.Designing and building responsive web applications. 

6.Provide technical leadership towards new UI architectures. 

7.Continuously discovering, evaluating, and implementing new technologies to maximize development efficiency. 

Requirements: 

1. 4+ years of Frontend development experience 

2.Experience in ReactJS, Redux and component based design 

3.Experience in HTML5/CSS3, SASS or LESS 

4.Experience in Mobile web Specific Technologies Like PWA, Service Workers. 

5.Experience in Unit testing and Flow testing using Jasmine/Karma, Jest Framework 

6.Knowledge of front-end build tools and frameworks. Webpack and Babel. 

7.Experience in TDD (test-driven development)] 

8.Experience of developing and consuming RESTful web services 

9.Proficient understanding of web Markup. 

10.Good knowledge of caching and memory management for UI applications 

11.Should have executed a production level end to end UI application