District Sales Manager

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.

Job Title: Production Lead – Marketing & Creative (D2C)

Location: Jaipur

Experience: 5–10+ years in video production, ad creation, D2C brand content

Department: Marketing & Creative

Employment Type: Full-time

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About the Role

We are looking for a highly capable, creative, and execution-driven Production Lead who can convert scripts into powerful, high-performing video ads. This role demands someone who understands D2C brand storytelling, social media content formats, UGC-style videos, testimonials, monologues, product showcases, and performance-first ads.

You will lead a full in-house + freelance ecosystem of video editors, cinematographers, actors, influencers, and production partners—ensuring timely, high-quality output across all marketing channels.

The ideal candidate comes from D2C brands, creative agencies, or production houses, with hands-on experience producing fast-paced digital content.

Key Responsibilities

1. Full Production Ownership

-Take scripts from the creative team and convert them into complete shoot & production plans.

Execute:

-UGC videos, Testimonials, Monologue-style ads, Product shoots, Feature/USP-based videos, Review-style ads, Brand intro films, Showreels, Short ads, reels, and performance creatives, TVCs

-AI-based content (AI voiceover, AI characters, AI video formats)

-Ensure editing, sound, transitions, branding, and storytelling are done to perfection.

2. Team & Talent Management

-Manage and mentor: Video editors, Cinematographers, Actors & Models, UGC creators, Influencers

-Production assistants & freelancers

-Hire and train new team members based on evolving content needs.

-Maintain a reliable network of production talent and agencies.

3. Creative Direction & Quality Control

-Translate scripts into strong visual stories aligned with D2C performance goals.

-Review raw footage, edits, and final versions to ensure top-tier quality.

-Ensure every video communicates the right message and drives measurable impact.

-Maintain consistency in tone, pacing, aesthetics, and brand voice.

4. Operational Excellence

-Prepare shoot schedules, call sheets, timelines, and execution plans.

Manage equipment, locations, permissions, budgets, and logistics.

-Ensure fast turnaround without compromising creative quality.

-Coordinate closely with scriptwriters, designers, and marketing teams.

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Required Skills & Experience

5–10+ years in production roles within D2C brands, creative agencies, or digital-first companies.

Proven experience managing end-to-end video production for:

Social media ads & reels, UGC content, Testimonial videos

On-camera monologue ads, Product demo & feature videos

Review-style content, Brand videos & showreels, Influencer content

TVCs, AI-led content formats

Deep understanding of performance-focused storytelling for digital ads.

Strong knowledge of video editing workflows, basic cinematography, lighting, sound, and post-production.

Exceptional leadership and project management skills.

Ability to manage multiple shoots and deadlines simultaneously.

Role: Data Engineer (14+ years of experience)

Location: Whitefield, Bangalore

Mode of Work: Hybrid (3 days from office)

Notice period: Immediate/ Serving with 30days left

Location: Candidate should be based out of Bangalore as one round has to be taken F2F

Job Summary:

Role and Responsibilities

● Design and implement scalable data pipelines for ingesting, transforming, and loading data from various tools and sources.

● Design data models to support data analysis and reporting.

● Automate data engineering tasks using scripting languages and tools.

● Collaborate with engineers, process managers, data scientists to understand their needs and design solutions.

● Act as a bridge between the engineering and the business team in all areas related to Data.

● Automate monitoring and alerting mechanism on data pipelines, products and Dashboards and troubleshoot any issues. On call requirements.

● SQL creation and optimization - including modularization and optimization which might need views, table creation in the sources etc.

● Defining best practices for data validation and automating as much as possible; aligning with the enterprise standards

● QA environment data management - e.g Test Data Management etc

Qualifications

● 14+ years of experience as a Data engineer or related role.

● Experience with Agile engineering practices.

● Strong experience in writing queries for RDBMS, cloud-based data warehousing solutions like Snowflake and Redshift.

● Experience with SQL and NoSQL databases.

● Ability to work independently or as part of a team.

● Experience with cloud platforms, preferably AWS.

● Strong experience with data warehousing and data lake technologies (Snowflake)

● Expertise in data modelling

● Experience with ETL/LT tools and methodologies .

● 5+ years of experience in application development including Python, SQL, Scala, or Java

● Experience working on real-time Data Streaming and Data Streaming platform.

NOTE: IT IS MANDATORY TO GIVE ONE TECHNICHAL ROUND FACE TO FACE.

1. 5+ years of experience with a minimum of 3 yrs in Automation
2. Mobile testing experience with strong basics, understanding of testing and shipping releases on these platforms - iOS, Android, and Web
3. Prior experience in creating optimal test strategy - functional, non-functional, analytics, and automation
4. Experience with relational database and SQL queries
5. Experience of working with JIRA
6. Prior experience in working with tools like -
   1. Figma
   2. Datadog
   3. AWS

We are seeking a highly motivated and talented individual to join our team as a Fresher Software Developer. As a software developer, you will be involved in the entire software development life cycle, from concept and design to testing and deployment. This is an excellent opportunity for recent graduates or individuals with limited professional experience to kickstart their career in software development.

Responsibilities:

Coding and Development:

• Collaborate with cross-functional teams to analyze requirements and develop high-quality software solutions.
• Write clean, efficient, and maintainable code in accordance with industry best practices.
• Participate in code reviews to ensure code quality and provide constructive feedback.

Testing and Debugging:

• Conduct thorough testing of software applications to identify and fix bugs, ensuring the delivery of reliable and robust software.
• Debug and troubleshoot issues, providing timely resolutions.

Learning and Growth:

• Stay updated on emerging technologies and industry trends to enhance skills and contribute to continuous improvement within the development team.
• Actively participate in training programs and self-directed learning to broaden technical knowledge.

Collaboration:

• Collaborate with team members, including other developers, designers, and product managers, to deliver high-quality software solutions.

Educational Background:

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.

A Product based company is looking out for software engineers in the following categories.
If your profile matches any of the skills&experience categories and you are looking for a change,  Salary won't be a constraint for the right candidate

Category : 0 to 2 years of experience in mobile applications development for android or iOs platforms.

Engineering Leader, Cloud Infrastructure.

Bengaluru, Karnataka, India

Do you thrive on solving complex technical problems? Do you want to be at the cutting edge of technology? If so,we’re interested in speaking with you!

Your Impact:

We’re looking for a seasoned engineering leader in the Cloud team that is responsible for building, operating, and maintaining a customer-facing DBaaS service in multiple public clouds (AWS, GCP, and Azure). The service supports unified multiverse management of YugabyteDB, including fault-domain aware provisioning, rolling upgrades, security,

networking, monitoring, and day-2 operations (backups, scaling, billing etc). If you’re a strong leader who exemplifies collaboration, who is driven and thrive in a fast-paced startup environment, and who has a strong desire to build an internet-scale, extensible cloud based service with strong emphasis on simplicity and user experience, this job is for

you.

You Will:

Lead, inspire, and influence to make sure your team is successful

Partner with the recruiting team to attract and retain high-quality and diverse talent

Establish great rapport with other development teams, Product Managers, Sales and Customer Success tomaintain high levels of visibility, efficiency, and collaboration

Ensure teams have appropriate technical direction, leadership and balance between short-term impact andlong term architectural vision.

Occasionally contributing to development tasks such as coding and feature verifications to assist teamswith release commitments, to gain an understanding of the deeply technical product as well as to keepyour technical acumen sharp.

You'll need:

BS/MS degree in CS-or- a related field with 5+ years of engineering management experience leading productive, high-functioning teams

Strong fundamentals in distributed systems design and development

Ability to hire while ensuring a high hiring bar, keep engineers motivated, coach/mentor, and handle performance management

Experience running production services in Public Clouds such as AWS, GCP, and Azure

Experience with running large stateful data systems in the Cloud

Prior knowledge of Cloud architecture and implementation features (multi-tenancy, containerization,orchestration, elastic scalability)

A great track record of shipping features and hitting deadlines consistently; should be able to move fast,build in increments and iterate; have a sense of urgency, aggressive mindset towards achieving results and excellent prioritization skills; able to anticipate future technical needs for the product and craft plans to realize them

Ability to influence the team, peers, and upper management using effective communication and collaborative techniques; focused on building and maintaining a culture of collaboration within the team.