Test Automation Engineer

Job Description

Job Title: Sr. Executive - Stores

Department: Stores

Location: Bommasandra

Reporting To: Stores / Purchase Asst Manager & GM

Employment Type: Full-time

Job Purpose:

The Store executive is responsible for managing the daily store operations, ensuring proper inventory control, documentation, and coordination with production and purchase departments. The role requires ERP knowledge, auditing skills, material tracking, and adherence to 5S standards. The inventory level to be managed in the stores would be to the tune of 10.00 Cr.

Key Responsibilities

1. Inventory Management & Control

• Maintain accurate stock records and ensure inventory accuracy.
• Track stock movement using ERP software.
• Conduct periodic stock audits and cycle counting.
• Identify and report shortages and take necessary follow-up actions.

2. Goods Receipt & Documentation

• Process Goods Receipt Notes (GRN) for incoming materials.
• Verify invoices and delivery notes against purchase orders.
• Maintain proper documentation for batch cards and material tracking.

3. ERP & System Management

• Enter and manage stock transactions in the ERP system.
• Generate inventory and material consumption reports.
• Ensure real-time stock updates and data accuracy.

4. Third-Party Job Work & Material Tracking

• Track materials sent for third-party job work and ensure proper documentation.
• Follow up on pending materials and timely job completion.
• Record and verify materials received after external processing.

5. Auditing & Compliance

• Conduct internal store audits to ensure compliance.
• Prepare documents for external audits.
• Implement and maintain 5S practices in the store.

6. Shortage Follow-Up & Coordination

• Identify critical shortages affecting production.
• Coordinate with the purchase and production team for urgent procurement.
• Ensure timely replenishment of raw materials and consumables.

7. General Store Management

• Supervise store staff and daily operations.
• Maintain cleanliness, safety, and organization in the store.
• Ensure proper handling and storage of materials.

Required Skills & Qualifications

Education & Experience

• Education: Degree
• Experience: 5-6 years of experience in store management in a manufacturing industry – Electrical / electronics sector .

Technical Skills

• ERP system knowledge
• GRN processing and material documentation.
• Inventory control & stock tracking.
• Basic auditing and compliance understanding.
• 5S knowledge and implementation.

Soft Skills

• Strong coordination and communication skills.
• Good analytical and problem-solving abilities.
• Attention to detail and accuracy.
• Ability to work under pressure and meet deadlines.

Experience: 6+ years building and operating production ML systems that drive commercial decisions at scale. 

Location: Remote 

To streamline and fast-track screening, please submit your details here (if you haven’t already): https://airtable.com/appbtkr4odapnb5I6/pag05ROZwgz5AaLDG/form 

We’ll review your responses as part of the initial screening process. Please make sure you complete and submit all details through the form to be considered for the next stage. Submissions outside the form may not be considered.

Why This Role Matters

Terrabase builds decisioning infrastructure for enterprise customers: ranked recommendations, scoring pipelines, and policy-governed outputs that drive real commercial action. Our ML systems do not live in notebooks. They run multi-stage evaluation harnesses, apply structured governance rules, backtest against historical outcomes, and ship ranked outputs that customers act on daily.

This role owns the decisioning system end to end. That means the models, the eval harness, the policy layer, the production services, and the technical roadmap for where all of it goes next.

What You Will Do

Own the decisioning and ranking pipeline. Design, extend, and operate the end-to-end system: candidate generation in DuckDB, multi-stage scoring with LightGBM and AutoGluon, post-score policy application, and final ranked output delivery. You understand each layer well enough to debug latency, correctness, and coverage problems quickly, and to design the next version.

Lead the evaluation harness. Our eval pipeline runs multiple gates before any output ships: data health checks, specification validation, business rules enforcement, resolution checks, LLM-as-judge scoring, backtest against historical outcomes, and final output validation. You will own this harness, extend it as the system grows, and ensure every model or pipeline change is measurable and reproducible before it reaches a customer.

Apply policy logic with rigor. Our ML systems operate under structured governance rules that determine which offers apply to which customer segments, under what conditions. You will implement, test, and audit these rules in code, not configure them in a spreadsheet. Every exclusion must be traceable and explainable.

Engineer features that move metrics. Identify and build the behavioral signals, engagement indicators, contract features, and value-band attributes that improve model performance. Close the loop from feature hypothesis through offline evaluation to production monitoring. Own the data contracts between upstream sources and the scoring pipeline.

Build and maintain the production pipeline and service layer. The decisioning system is not a batch notebook. You will write and operate the Python pipeline and service layer that wraps model inference, handles edge cases, versions model artifacts, and connects to downstream consumers. You own CI, test coverage, reproducible training runs, monitoring, and production incidents.

Drive technical direction. Write design documents, lead code review, and set the engineering standard for the decisioning system. Help define the roadmap: what gets built, in what order, and why. Mentor contributors who work alongside you on this system.

Work forward-deployed. You will engage directly with customer stakeholders to understand business context, interpret model outputs, and translate commercial requirements into system constraints. You are accountable for customer delivery, not just model accuracy.

What We Are Looking For

• 6+ years building and operating production ML systems, not prototypes or research work
• Strong Python skills across the full ML lifecycle: data pipelines, feature engineering, model training, inference services, and monitoring
• Production experience with gradient boosting models (LightGBM, XGBoost)
• Hands-on with DuckDB or similar in-process analytical engines for large-scale data processing
• Evaluation discipline: held-out metrics, backtesting against historical data, multi-gate eval pipelines, LLM-as-judge patterns
• Experience applying business rules, policy overrides, or constraint layers on top of model outputs
• Engineering fundamentals: CI pipelines, data contracts, versioned artifacts, test coverage, incident response
• Technical leadership: design docs, code review, roadmap input, mentoring
• Comfort with forward-deployed work: you can run a meeting with a non-technical stakeholder and turn the output into a system requirement
• Comfort inheriting an existing production codebase, improving its structure, and raising reliability without rewriting everything from scratch

Bonus Points

• Experience with next-best-offer engines, customer-level targeting, or recommendation systems at scale
• Experience with AutoML frameworks (AutoGluon or similar) in a production scoring pipeline
• Thompson sampling, multi-armed bandits, or portfolio-level optimization experience
• Exposure to structured data from telecoms, financial services, or retail sectors
• Prior work owning a decisioning or ranking system as the technical lead

Life at Terrabase

We are a sharp, focused, fully remote team that ships to real enterprise customers weekly. You will own a system that drives measurable commercial outcomes, with high autonomy, generous cloud budgets, and a culture that prizes rigor over hype.

Terrabase is an equal-opportunity employer. We celebrate diversity and are committed to building an inclusive environment for every team member.

Strong Senior Product Manager with past development experience profile.

Mandatory (Experience 1) – Must have 12+ years of overall experience, with 3+ years as a Product Manager in the recent career (last 3 years)

Mandatory (Experience 2) – Must have 3+ years of hands-on technical background in software development (Dot net and Angular stack preferred)

Mandatory (Experience 4) – Must have end-to-end product lifecycle experience, including product strategy, roadmap, development, and delivery

Mandatory (Education) – Candidate must have B.Tech / M.Tech (Engineering background)

Mandatory (Note) – This is a tech-heavy Product Manager role, not a purely managerial/coordination role; profiles lacking hands-on technical depth should be rejected

• Handling the return filing of EPF and ESIC with a consultant
• Filing GST Return (3B and GSTR-1)
• Reconciling of sales data and preparing data for GST return (GSTR-1 & 3B)
• Managing revenue booking and its auditing
• Handling GST audit and TDS return filing
• Processing, reconciling and managing payment/refund
• Coordinating with stakeholders such as various internal departments
• Processing and reconciling invoices
• Payroll processing and its controlling and also ensuring statutory compliance while handling the same
• Handling and managing PCS rate payment
• Book-keeping and maintaining financial records and financial statements related to payroll of the company
• Maintaining up-to-date and accurate records of the financial details related to payroll and reporting the same to the management in regular intervals

Desired Candidate Profile

• Graduation in Commerce is a must
• Relevant work experience of 6-7 years in handling payroll (finance)
• E-commerce, retail or manufacturing background is preferred
• Proficiency in Excel
• Good in communication skills and with an eye to detail    

● .NET Experience - Min. 5 yrs

● Must have 4+ Yrs of experience in .Net with C#

● Must have 2+ Yrs of experience in Asp.Net Core framework

● Must have good knowledge of RDBMS Database (SQL server) Others (Skills & Experience),

● Preference will be given to those candidates having frontend framework experience such as Angular

● Technical skills: Windows, IIS, Design Patterns, OOPS, Version Control

● Must have an understanding of OOPs concepts.

● Must have worked on a Sql Server database.

● Passionate about Digital Learning based Software Development

● Very good attitude

● Willingness to take ownership

● Good communication

● Ability to perform under pressure

● Nice to have EdTech Experience and Knowledge

● Preferable Clever /OneRoster and LTI knowledge SKILLS:

● Should have worked in a Product organization

● Ability to design applications around natural user interfaces.

● Ability to understand business requirements and translate them into technical requirements

● A knack for benchmarking and optimization

● Proficient understanding of code versioning tools, such as Git

● Familiarity with continuous integration RESPONSIBILITIES:

● Design, build and maintain high performance, reusable, and reliable code

● Code Review

● Technical solutioning

● Translate designs and wireframes into high-quality code

● Ensure the best possible performance, quality, and responsiveness of the application

● Identify and correct bottlenecks and fix bugs

● Help maintain code quality, organization, and automatization

• End-to-end full-stack development experience
• Full hands-on experience with at least one of the following languages Java, PHP, Python, .NET and code repositories like GIT, SVN
• Expertise with HTML5, JQuery, CSS
• Proficiency with front-end JavaScript frameworks like Angular, React, etc.
• Experience of designing and developing APIs in a micro-service architecture
• Experience with webserver technologies like Node.js, J2EE, Apache etc.
• Good understanding and working experience with either relational or non-relational databases like Oracle, MySQL, PostgreSQL, Mongo DB, Cassandra
• Good understanding of the changing trends of user interface guidelines for mobile apps and be able to transform apps to newer form factors
• Hands-on with Native UI Components
• Familiar with Cloud components & deployment procedures.
• Familiar with code repository

About Company: Applicate IT Solutions Pvt Ltd

Applicate leads the use of cutting-edge technology including Artificial Intelligence in the domain of Sales.

Applicate has created the first AI Sales Assistant, and named it ‘Sellina’. With Artificial Intelligence, ‘Sellina’ can simultaneously Assist, Supervise and Train 1000s of salespeople and channel partners across an organization & assist them in driving everyday sales!

Applicate Is already working with many top Global and Indian brands like Bacardi, Diageo, Shell, ITC, Kelloggs, Britannia, Perfetti, Bauli, Organic India, Whirlpool, Grohe, Akzonobel, Allen Solly, Louis Philippe, Van Heusen, Arrow, U.S. Polo, Mars and other top brands.

Are you resilient? Can you smile in the face of adversity and talk to anyone? Do you have convincing power? If so, You might be ready for a job as an inside sales representative

We are looking for Inside Sales Manager who will be responsible for business lead generation by emailing, cold calling and build relationships with existing and prospective clients in order to garner their interest and convert them into qualified leads.

As Inside Sales Manager at Applicate, you’ll be responsible for generating new prospects by interacting with target customer.

• Generating new leads & Meeting Sales goals by cold calling, email marketing etc.
• Develops new accounts by researching and identifying potential leads, soliciting new business, building connections.
• Diligent follow-ups with inbound leads supported by subsequent email communications
• Route qualified leads to outside sales team by initiating appointments
• Achieve quarterly and annual sales targets
• Maintain strong MIS of all leads and accounts
• Have a strong eye for research and ability to scout for new prospects, identify the key players in an industry and gather interest
• Keeps product knowledge up to date by studying item descriptions and participating in ongoing training
• Accepts ownership for maintaining and expanding sales and accomplishing all assigned tasks

• Min 1 years of experience in Similar Role and domain.
• Excellent presentation and communication skills, both written and verbal as well excellent listening skills too.
• Bachelor’s Degree in sales or business, information technology, or related field (MBA preferred)
• Good hands on in excel (Mail merge, data entry etc.) and other office products.
• A self-starter. A tenacious individual that is not afraid of taking new initiatives and sometimes rejection.
• Talking & Meeting is second nature for you. Your day will consist of high volume calling/ meeting/ e-mailing.
• Strong understanding of sales cycle
• Strong secondary/internet research skills
• Knowledge of lead generation, nurturing and converting a potential lead to appointments