Telcalling Executive

Strong Senior Solutions Engineer Profile

Mandatory (Experience 1) – Must have 1+ years of relevant experience in pre-sales solution engineering in a Supply Chain / Sourcing / Operations domain environment

Mandatory (Experience 2) – Must have hands-on experience conducting technical discovery sessions, client demos, and proof-of-concepts (POCs) with enterprise or mid-market clients

Mandatory (Experience 3) – Must have experience in solutioning, configuring, and implementing techical demos of SaaS products

Mandatory (Company) - B2B SaaS in Logistic Tech, Supply Chain Tech, Operations Tech, Retail Tech, ERP etc

Mandatory (Education): MBA + BE/B.Tech background required.

Role Overview:

Zolvit is looking for a highly skilled and self-driven Lead Machine Learning Engineer / Lead Data Scientist to lead the design and development of scalable, production-grade ML systems. This role is ideal for someone who thrives on solving complex problems using data, is deeply passionate about machine learning, and has a strong understanding of both classical techniques and modern AI systems like Large Language Models (LLMs).

You will work closely with engineering, product, and business teams to identify impactful ML use cases, build data pipelines, design training workflows, and ensure the deployment of robust, high-performance models at scale.

Key Responsibilities:

● Design and implement scalable ML systems, from experimentation to deployment.

● Build and maintain end-to-end data pipelines for data ingestion, preprocessing, feature engineering, and monitoring.

● Lead the development and deployment of ML models across a variety of use cases — including classical ML and LLM-based applications like summarization, classification, document understanding, and more.

● Define model training and evaluation pipelines, ensuring reproducibility and performance tracking.

● Apply statistical methods to interpret data, validate assumptions, and inform modeling decisions.

● Collaborate cross-functionally with engineers, data analysts, and product managers to solve high-impact business problems using ML.

● Ensure proper MLOps practices are in place for model versioning, monitoring, retraining, and performance management.

● Keep up-to-date with the latest advancements in AI/ML, and actively evaluate and incorporate LLM capabilities and frameworks into solutions.

● Mentor junior ML engineers and data scientists, and help scale the ML function across the organization.

Required Qualifications:

● 7+ years of hands-on experience in ML/AI, building real-world ML systems at scale.

● Proven experience with classical ML algorithms (e.g., regression, classification,

clustering, ensemble models).

● Deep expertise in modern LLM frameworks (e.g., OpenAI, HuggingFace, LangChain)

and their integration into production workflows.

● Strong experience with Python, and frameworks such as Scikit-learn, TensorFlow,

PyTorch, or equivalent.

● Solid background in statistics and the ability to apply statistical thinking to real-world

problems.

● Experience with data engineering tools and platforms (e.g., Spark, Airflow, SQL,

Pandas, AWS Glue, etc.).

● Familiarity with cloud services (AWS preferred) and containerization tools (Docker,

Kubernetes) is a plus.

● Strong communication and leadership skills, with experience mentoring and guiding

junior team members.

● Self-starter attitude with a bias for action and ability to thrive in fast-paced environments.

● Master’s degree in Machine Learning, Artificial Intelligence, Statistics, or a related

field is preferred.

Preferred Qualifications:

● Experience deploying ML systems in microservices or event-driven architectures.

● Hands-on experience with vector databases, embeddings, and retrieval-augmented

generation (RAG) systems.

● Understanding of Responsible AI principles and practices.

Why Join Us?

● Lead the ML charter in a mission-driven company solving real-world challenges.

● Work on cutting-edge LLM use cases and platformize ML capabilities for scale.

● Collaborate with a passionate and technically strong team in a high-impact environment.

● Competitive compensation, flexible working model, and ample growth opportunities.

Qualification: Bachelor’s degree in Computer Science, Information Technology, Software Engineering, or a related field

OR Equivalent practical experience in mobile app development

Experience: 1 – 2 years

Job Description

App Stability

• Fix crashes and performance issues

• Handle OS updates and app store requirements

• Monitor and resolve real user issues

Ship Improvements

• Improve UI/UX flows

• Support feature rollouts

• Work closely with backend teams

Production Ownership

• Debug live issues

• Ensure smooth releases

• Prevent app store rejections

Tech Skills

• Flutter or React Native

• API integration

• App lifecycle & state management

• Crash debugging

• Git workflows

Who should apply

• Published at least one app on Play Store / App Store

• Experience handling production apps

• Takes crashes and bugs seriously

• Moves fast and solves problems independently and would like to work in a startup.

This Role Is NOT

• Just UI polishing

• A feature-factory role

• For someone who avoids debugging

• A traditional 9–5 desk job

Key Responsibilities

● Plan, launch, manage, and optimize paid campaigns across Amazon Ads, Meta Ads, and Google Ads (Search, Display, Shopping).

● Own full-funnel performance: from awareness to conversion and retention.

● Create ad strategies tailored for both D2C (Shopify) and marketplace (Amazon) channels.

● Track key KPIs: CTR, CPC, ROAS, ACoS, CVR, CPA etc.

● Conduct regular A/B testing on creatives, audiences, and placements.

● Manage ad budgets and bid strategies to maximize performance.

● Lead all Sponsored Product, Sponsored Brand, and Sponsored Display campaigns on Amazon.

● Collaborate with the design/content team for campaign assets.

● Prepare weekly/monthly ad performance reports with insights and action points.

● Stay updated with platform algorithm changes, ad tools, and beta features.

Qualifications & Skills

● 5+ years of experience in managing performance marketing campaigns across Amazon, Meta, and Google.

● Proven track record of scaling ROAS-positive ad accounts in a D2C eCommerce setup.

● Strong analytical skills with knowledge of Excel/Sheets, GA4, and Ads dashboards.

● Experience in ad copywriting and creative performance feedback.

• ● Bonus: Experience with tools like Helium10, Semrush, Canva, or creative automation platforms.

Position: AWS Data Engineer

Experience: 5 to 7 Years

Location: Bengaluru, Pune, Chennai, Mumbai, Gurugram

Work Mode: Hybrid (3 days work from office per week)

Employment Type: Full-time

About the Role:

We are seeking a highly skilled and motivated AWS Data Engineer with 5–7 years of experience in building and optimizing data pipelines, architectures, and data sets. The ideal candidate will have strong experience with AWS services including Glue, Athena, Redshift, Lambda, DMS, RDS, and CloudFormation. You will be responsible for managing the full data lifecycle from ingestion to transformation and storage, ensuring efficiency and performance.

Key Responsibilities:

• Design, develop, and optimize scalable ETL pipelines using AWS Glue, Python/PySpark, and SQL.
• Work extensively with AWS services such as Glue, Athena, Lambda, DMS, RDS, Redshift, CloudFormation, and other serverless technologies.
• Implement and manage data lake and warehouse solutions using AWS Redshift and S3.
• Optimize data models and storage for cost-efficiency and performance.
• Write advanced SQL queries to support complex data analysis and reporting requirements.
• Collaborate with stakeholders to understand data requirements and translate them into scalable solutions.
• Ensure high data quality and integrity across platforms and processes.
• Implement CI/CD pipelines and best practices for infrastructure as code using CloudFormation or similar tools.

Required Skills & Experience:

• Strong hands-on experience with Python or PySpark for data processing.
• Deep knowledge of AWS Glue, Athena, Lambda, Redshift, RDS, DMS, and CloudFormation.
• Proficiency in writing complex SQL queries and optimizing them for performance.
• Familiarity with serverless architectures and AWS best practices.
• Experience in designing and maintaining robust data architectures and data lakes.
• Ability to troubleshoot and resolve data pipeline issues efficiently.
• Strong communication and stakeholder management skills.

Responsibilities:

• Must have hands-on working experience in NodeJS with Typescript
• Must have experience of large size product development process
• Must have detailed knowledge of designing and developing performant REST APIs 
• Must have hands-on experience on Postgres DB and MongoDb / any NoSQL DB 
• Must be comfortable working with git and CI CD pipelines and deployment strategies
• Should be able to build a new team and work with your engineers and mentor them
• Collaborate with cross-functional teams to define, design, and ship new features
• Ensure the performance, quality, and responsiveness of applications
• Identify and correct bottlenecks and fix bugs
• Continuously discover, evaluate, and implement new technologies to maximise development efficiency
• Should be open to learn new domain and work in fast paced environment 
• Responsible to deliver end to end module/product/project scope

Requirements:

• 4+ years of experience as a Full Stack Developer with a strong focus on Nodejs with TypeScript and React JavaScript
• Solid understanding of web application architecture, including RESTful API design and development
• Experience with front-end development using tailwind , bootstrap ,HTML, CSS, and JavaScript, typescript
• Strong analytical and problem-solving skills
• Excellent communication and interpersonal skills

• Identifying broader trends and filling category gaps
• Supplier relationship building
• Handling merchandising operations
• Coordinating with marketing, supply chain, catalog team, finance/ commercial and other functions of the organization
• Catalog monitoring
• Discount monitoring

Desired Candidate Profile

• 4 - 10 years of experience
• Good analytical skills
• Willingness to learn, innovate, take initiatives, think beyond what is conventional and accepted and the ability to work in a flat organization
• Strong analytical aptitude in problem solving
• Proven track record of finding innovative solutions to business problem
• Previous work experience in E-Commerce companies