Quality Assurance Software Engineer

Optimo Capital is an RBI-registered NBFC focused on secured MSME lending, primarily through Loan Against Property (LAP). We serve small businesses that are underserved by traditional banks, and we do it with a lean, technology-first operating model.

What makes us different is how close our product function sits to the actual business. We don't build software in a vacuum — we build tools directly out of the operational problems our credit, sales, collections, and ops teams run into every day. Our stack spans the full lending lifecycle: loan origination and servicing (LOS/LMS), a telecalling CRM, a communications orchestration platform, document management, bureau and data pipelines, and integrations with co-lending and channel partners.

If you like the idea of shipping products that a real team uses the next morning, this is the environment for it.

The Role

We're looking for an Associate Product Manager to help us build and improve the internal and partner-facing products that power our lending operations. You'll own features and workflows end to end — from understanding the problem, to writing the spec, to coordinating the build, to rolling it out and measuring whether it actually worked.

This is a hands-on, high-ownership role suited to someone early in their product career who wants to learn the craft by doing, inside a business where the feedback loop is short and the impact is visible.

What You'll Do

• Sit with the people who use our tools — telecallers, credit officers, ops, collections, sales — and turn their pain points into clear, well-scoped product requirements.
• Write crisp PRDs, user stories, and workflow specs that engineering and vendor partners can build from without guesswork.
• Coordinate delivery across in-house engineering and external technology vendors (e.g., our LOS/LMS provider), keeping timelines, dependencies, and priorities in order.
• Own UAT and rollout: test what gets built, catch the gaps before users do, write the documentation, and make sure adoption actually happens.
• Use data to inform and defend decisions — pull from dashboards and databases, look at funnel and operational metrics, and measure the impact of what you ship.
• Support integrations with co-lending partners and sourcing channels (DSAs) as our partnership footprint grows.
• Keep a pulse on the regulatory and operational context of lending so the products you build are compliant and practical, not just clever.

What We're Looking For

• 1–3 years of experience in product, business/data analytics, operations, consulting, or an early-stage/founder background — or a strong track record of building things.
• Structured thinking and clear writing. You can break an ambiguous problem into parts and explain your reasoning simply.
• Comfort with data. You're not intimidated by spreadsheets or a database, and you'd rather check a number than guess.
• Genuine curiosity about how lending, fintech, and financial services work.
• High agency. You chase down answers, follow through without being managed, and care about the outcome, not just the ticket.
• Strong communication and the ability to work across teams that don't naturally speak the same language (business, engineering, credit, compliance).

Nice to Have

• Exposure to fintech, NBFCs, banking, or lending operations.
• Working knowledge of SQL, or comfort with no-code/low-code tools (Retool, Airtable, and the like).
• Some ability to build — a bit of coding, scripting, or prototyping goes a long way here.
• Familiarity with the Indian lending stack (LOS/LMS, CRM, WhatsApp Business API, bureau data).

Why Join

• Real ownership from day one — you'll ship products, not slides.
• A short path from idea to impact, with users you can actually talk to.
• Deep exposure to how a modern NBFC works across credit, operations, technology, and partnerships.
• The chance to learn product management the way it's meant to be learned: close to the operator, close to the problem.

How to Apply

Send your CV and a short note on something you've built or shipped — a product, a tool, a process, anything — to [insert application email / link].

Qualifications:

• 10+ years native mobile development (iOS Swift + Android Kotlin)

• Proven experience building mission-critical, offline-first applications

• Deep understanding of mobile architecture patterns (MVVM, Clean Architecture)

• Expert-level API integration and data synchronization strategies

• Experience with emergency services, healthcare, or field operations software (preferred)

• Strong debugging, performance optimization, and memory management skills

• Demonstrated leadership in establishing mobile development best practices

TECHNICAL EXPERTISE:

• iOS: Swift 5.x, SwiftUI/UIKit, CoreData, CoreLocation, Background Tasks

• Android: Kotlin, Jetpack Compose, Room, WorkManager, Location Services

• Tools: Xcode, Android Studio, Git, Figma, Firebase, TestFlight/Play Console

• CI/CD: Fastlane, GitHub Actions, or similar automation tools

• APIs: RESTful services, JSON parsing, authentication/authorization

• Testing: XCTest, Espresso, automated UI testing frameworks

Responsibilities:

CORE RESPONSIBILITIES:

• Architect mobile applications for First Due's emergency response platform serving Fire and

EMS agencies nationwide

• Lead mobile development initiatives for the Hyderabad development center

• Design offline-first architectures ensuring reliability in low-connectivity emergency

scenarios

• Collaborate with cross-functional teams across US and India time zones

• Establish mobile CI/CD pipelines, coding standards, and quality assurance processes

• Mentor developers on mobile best practices and First Due's technology stack

• Drive sprint planning, velocity tracking, and technical roadmap for mobile development

• Ensure HIPAA compliance and data security for patient care reporting features

Work Location: Hyderabad, India

Work mode: Work From Office

Strong Data Scientist/Machine Learnings/ AI Engineer Profile

Mandatory (Experience 1) – Must have 2+ years of hands-on experience as a Data Scientist or Machine Learning Engineer building ML models

Mandatory (Experience 2) – Must have strong expertise in Python with the ability to implement classical ML algorithms including linear regression, logistic regression, decision trees, gradient boosting, etc.

Mandatory (Experience 3) – Must have hands-on experience in minimum 2+ usecaseds out of recommendation systems, image data, fraud/risk detection, price modelling, propensity models

Mandatory (Experience 4) – Must have strong exposure to NLP, including text generation or text classification (Text G), embeddings, similarity models, user profiling, and feature extraction from unstructured text

Mandatory (Experience 5) – Must have experience productionizing ML models through APIs/CI/CD/Docker and working on AWS or GCP environments

Mandatory (Company) – Must be from product companies, Avoid candidates from financial domains (e.g., JPMorgan, banks, fintech)

About Vijay Sales

Vijay Sales is one of India’s leading electronics retail brands with 160+ stores nationwide and a fast-growing digital presence. We are on a mission to build the most advanced data-driven retail intelligence ecosystem—using AI, predictive analytics, LLMs, and real-time automation to transform customer experience, supply chain, and omnichannel operations.

Role Overview

We are looking for a highly capable AI Engineer who is passionate about building production-grade AI systems, designing scalable ML architecture, and working with cutting-edge AI/ML tools. This role involves hands-on work with Databricks, SQL, PySpark, modern LLM/GenAI frameworks, and full lifecycle ML system design.

Key Responsibilities

Machine Learning & AI Development

• Build, train, and optimize ML models for forecasting, recommendation, personalization, churn prediction, inventory optimization, anomaly detection, and pricing intelligence.
• Develop GenAI solutions using modern LLM frameworks (e.g., LangChain, LlamaIndex, HuggingFace Transformers).
• Explore and implement RAG (Retrieval Augmented Generation) pipelines for product search, customer assistance, and support automation.
• Fine-tune LLMs on company-specific product and sales datasets (using QLoRA, PEFT, and Transformers).
• Develop scalable feature engineering pipelines leveraging Delta Lake and Databricks Feature Store.

Databricks / Data Engineering

• Build end-to-end ML workflows on Databricks using PySpark, MLflow, Unity Catalog, Delta Live Tables.
• Optimize Databricks clusters for cost, speed, and stability.
• Maintain reusable notebooks and parameterized pipelines for model ingestion, validation, and deployment.
• Use MLflow for tracking experiments, model registry, and lifecycle management.

Data Handling & SQL

• Write advanced SQL for multi-source data exploration, aggregation, and anomaly detection.
• Work on large, complex datasets from ERP, POS, CRM, Website, and Supply Chain systems.
• Automate ingestion of streaming and batch data into Databricks pipelines.

Deployment & MLOps

• Deploy ML models using REST APIs, Databricks Model Serving, Docker, or cloud-native endpoints.
• Build CI/CD pipelines for ML using GitHub Actions, Azure DevOps, or Databricks Workflows.
• Implement model monitoring for drift, accuracy decay, and real-time alerts.
• Maintain GPU/CPU environments for training workflows.
• 
  

Must-Have Technical Skills

Core AI/ML

• Strong fundamentals in machine learning: regression, classification, time-series forecasting, clustering.
• Experience in deep learning using PyTorch or TensorFlow/Keras.
• Expertise in LLMs, embeddings, vector databases, and GenAI architecture.
• Hands-on experience with HuggingFace, embedding models, and RAG.

Databricks & Big Data

• Hands-on experience with Databricks (PySpark, SQL, Delta Lake, MLflow, Feature Store).
• Strong understanding of Spark execution, partitioning, and optimization.

Programming

• Strong proficiency in Python.
• Experience writing high-performance SQL with window functions, CTEs, and analytical queries.
• Knowledge of Git, CI/CD, REST APIs, and Docker.

MLOps & Production Engineering

• Experience deploying models to production and monitoring them.
• Familiarity with tools like MLflow, Weights & Biases, or SageMaker equivalents.
• Experience in building automated training pipelines and handling model drift/feedback loops.

Preferred Domain Experience

• Retail/e-commerce analytics
• Demand forecasting
• Inventory optimization
• Customer segmentation & personalization
• Price elasticity and competitive pricing

Location: Maharashtra, India (Remote / Hybrid) Company: Videoselz Reporting to: CEO

About Videoselz

Videoselz is a fast-paced, Silicon Valley-based startup on a mission to revolutionize how e-commerce brands grow. We build high-performance video processing tools that empower brands to turn content into revenue. Our team is small, elite, and composed of industry veterans, including engineering leadership formerly of Meta.

The Role

We are looking for a scrappy, high-agency Full-Stack Engineer with 2 to 5 years of experience to join our core team. This isn't a role where you’ll be a small cog in a giant machine. You will report directly to the CEO, working alongside leaders who have scaled products for billions of users. You will be expected to wear multiple hats, moving seamlessly between architecting backend services and crafting fluid frontend experiences.

Technical Requirements

• Experience: 2–3 years of professional software development experience.
• The Stack: Deep proficiency in JavaScript, React, and Svelte.
• Full-Stack Mindset: Strong foundational knowledge of backend architecture and the ability to own a feature from database schema to UI deployment.
• Versatility: You are comfortable jumping into unfamiliar territory, whether it's optimizing video rendering pipelines or refining a checkout flow.

What to Expect (The Reality)

• High Velocity: We move fast. The workload is high, the deadlines are tight, and the quality bar is even higher.
• Extreme Impact: Every line of code you write will directly influence the success of our e-commerce partners.
• Direct Access: Reporting to the CEO means your ideas are heard immediately, and your feedback shapes the product roadmap.

Why Join Us?

While we work hard, we believe in taking care of our "A-Players." We offer a Silicon Valley-style environment right here in Maharashtra.

• Mentorship: Learn directly from ex-Meta engineering leaders who understand how to build world-class systems.
• Generous Benefits: Competitive salary.
• Rest & Recharge: We offer "Days Off" policy. We believe that when you aren't working, you should be completely disconnected so you can come back at 100%.
• Equity/Growth: As an early member of a small team, you will have significant upside as the company scales.

The Ideal Candidate

You are a "Product Engineer" at heart. You don't just want a ticket assigned to you; you want to understand the "why" behind the feature. You are based in Maharashtra and are ready to put in the hours to build something that defines a category.

Please Apply on Below Link

https://app.ismartrecruit.com/jobDescription?x=E7pc21hcnRzaGlwaHViLmNvbV8yNF9QUk9NT1RFVVJMX2VuQ9e

Job Description

We are seeking a passionate and innovative Software Development Engineer (AI) to join our engineering team in building next-generation Maritime SaaS solutions. The ideal candidate will have hands-on experience in Agentic AI development, working with cutting-edge frameworks and contributing to the development of scalable, AI-driven products. This role involves end-to-end product development, from concept to deployment, leveraging modern programming stacks and AI frameworks.

Total Experience: 1–4 Years

Requirements

• Bachelor’s or master’s degree in computer science, Engineering, or related field.
• 1–4 years of professional software development experience.
• Proven experience in AI-driven product development.
• Strong problem-solving and analytical skills.
• Ability to work collaboratively in agile, cross-functional teams.
• Excellent communication and documentation skills.

Desired Skillset

• Agentic AI Development experience using frameworks like LangGraph, LangChain.
• MCP Server Development exposure.
• Hands-on experience in LLM-based product development.
• Proficiency in Python, with practical knowledge of AI/ML model integration.
• Strong development skills in React.js and Node.js.
• Understanding of SaaS architecture and cloud deployment practices (AWS, Azure, or GCP preferred).
• Familiarity with containerization tools (Docker, Kubernetes) is a plus.

NW JD Network Lead designs, plans and develops Enterprise network device configurations, End Point connectivity and Network security participating in service flow discussions and deployment architecture. Establishes monitoring, maintenance procedures, support, and optimization of all network hardware, software, and communication links. This position will be working on an engineering and project team providing solutions and new implementations. Design cost-effective data communications solutions to meet new and evolving requirements Plan and execute the installation of new networking components to fulfil business requirements Support the design and analysis of network improvements and enhancements. Provide analysis to support performance tuning and capacity planning Provide troubleshooting and problem solving support for network issues. Monitor system hardware and software and manage system performance Determine capacity and performance planning goals. Maintain documentation of network configuration and records relating to network hardware and software Manage projects directly related to the area of assigned responsibility and other general network projects. Serve as technical consultant on new request from client. Technical expertise to other network engineers and IT department team members. Efficiently manages work across multiple networks and related systems. Preferred Skills: Certifications Industry Certification: CCNP or CCIE Expert knowledge of Network Systems and emerging technologies, experience on projects around Cloud and SAAS platforms. Advancing knowledge in other areas of Infrastructure Design and Management Advanced Knowledge of support and administration of Network Management tools Experience supporting MDM, Firewalls, Load Balancers, Riverbed WAN Optimizers & Infoblox technology.

Desired Skills: CCNP/CCIE, Strong Routing & Switching background (8 years+ experience) Strong Understanding of L2/L3 switching and MPLS (WAN) technologies Experience with Firewalls & Load Balancer technologies Experience with Forescout NAC & Infoblox Experience with Network monitoring tools (PRTG) Experience with optimization appliances Experience with scripting and automation. Product knowledge on Citrix, CheckPoint. Exposure to SSL, direct TLS and Mutual TLS

Design, develop and deploy .NET applications with SQL Server as the back-end. Responsible for database design, database object development, performance optimization and advanced MySQL programming.

Job Description

- Build applications using .Net 4.0 VB.Net / Asp.Net / C# / SQL server.
- Ability to understand business requirement and convert them to applications.
- Ability to perform both as an individual and in a team and completing the given tasks on time.
- Experience Required: 2 - 3 years

Strong experience in ASP .NET, MVC, C#, WCF, SQL, WEB API,
Must have experience in application development
Able to work independently/ with limited guidance
Experience in complete SDLC Good communication skills

If interested, ase share your resume at pooja at webshree.com