YouTube Content Creator/ Sr. 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.

Key Responsibilities

·         Identify and develop new business opportunities in the IT sector.

·         Generate leads through cold calling, networking, research, and digital platforms.

·         Understand client requirements and present suitable IT solutions and services.

·         Prepare proposals, quotations, and presentations for clients.

·         Maintain and grow relationships with existing and potential customers.

·         Collaborate with the technical and project teams to ensure seamless delivery of solutions.

·         Meet sales targets and contribute to overall business growth.

·         Maintain sales reports, follow-ups, and documentation.

·         Stay updated with industry trends, competition, and market developments.

Required Skills & Competencies

·         Strong communication and interpersonal skills.

·         Good understanding of IT products, software solutions, or digital services.

·         Ability to present and explain technical solutions to clients clearly.

·         Strong negotiation, persuasion, and relationship-building abilities.

·         Result-driven with the ability to work independently and as part of a team.

·         Proficiency in MS Office, CRM tools, and online research.

Qualifications

·         Bachelor’s degree in IT, Computer Science, Business Administration, Marketing, or related field.

·         Prior experience in IT Sales / Business Development will be preferred.

Job description:

•  New client acquisition, building new relationships and increasing depth in existing relationships with clients.

•  Selling online broking accounts- Demat account, trading account.

•  Identifying customer needs, assessing their appetite and providing them investment options.

• Cross selling of financial products like Mutual Fund, Insurance, Bonds, etc.

• Achieving targets as assigned by the organization on a monthly basis.

• Migrating offline clients to do online trading.

• Regular updates to the immediate superior as a when required.

Qualification:

·        Graduate

Experience:

·        2-5 Years

Key Skills:

·        Good communication skills

·        Strong analytical skills

·        Customer orientation

Functional Area:

·        Sales

Qualifications:*

1. 10+ years of experience, with 3+ years as Database Architect or related role

2. Technical expertise in data schemas, Amazon Redshift, Amazon S3, and Data Lakes

3. Analytical skills in data warehouse design and business intelligence

4. Strong problem-solving and strategic thinking abilities

5. Excellent communication skills

6. Bachelor's degree in Computer Science or related field; Master's degree preferred

*Skills Required:*

1. Database architecture and design

2. Data warehousing and business intelligence

3. Cloud-based data infrastructure (Amazon Redshift, S3, Data Lakes)

4. Data governance and security

5. Analytical and problem-solving skills

6. Strategic thinking and communication

7. Collaboration and team management

Responsibilities:

• Meeting with the design team to discuss the needs of the company.
• Building and configuring Magento 2 x eCommerce websites.
• Coding of the Magento templates.
• Developing Magento modules in PHP using best practices.
• Designing themes & interfaces.
• Setting performance tasks & goals.
• Troubleshooting integration issues.
• Updating website features & security patches.
• Expert in writing quality code following web standards and unit testing.
• Ability to work both independently and as part of a team with strong communication, collaboration, and analytical solving skills.

Requirements:

• Strong hands-on Magento 2 CMS, and JavaScript frameworks such as jQuery
• Depth knowledge of Magento CMS, PHP5 AJAX, JQuery, Javascript, OOPs. HTML5 CSS3
• Experience with Theme Integration, Customization, Third Party API Integrations.
• Excellent knowledge of SQL scripting and My SQL database administration.
• Sound understanding of OOP and MVC development.
• Hands-on experience on customization of Magento Themes, Magento Modules Development, Extension Development
• Experience in customizing Magento s front-end components using layout XML, blocks, and templates.