SEO Analyst

Key Responsibilities

Core Engineering & Testing

• Design and implement scalable, maintainable automation frameworks for API and backend systems.
• Own end-to-end test strategy across functional, system, and integration layers.
• Build robust API automation suites using Java (Rest Assured/Karate) and modern tooling.
• Collaborate closely with developers, product managers, and DevOps teams in an agile environment to ensure high-quality releases.
• Design and validate AI-generated test cases for APIs, including authentication flows, request chaining, and error handling.
• Build and maintain QA agentic systems capable of:
• Auto-generating test cases from requirements
• Detecting coverage gaps across services
• Suggesting missing edge cases and negative scenarios
• Test AI-based applications (LLMs, copilots, intelligent services) for correctness, hallucination risks, and robustness across edge cases.
• Define testing strategies for non-deterministic systems, including:
• Prompt evaluation frameworks
• Response validation heuristics
• Dataset-driven testing

Quality Intelligence & Platform Thinking

• Build tools that provide real-time visibility into test coverage, risk areas, and defect patterns.
• Leverage AI/ML techniques for:
• Defect clustering and root cause analysis
• Test optimization and prioritization
• Contribute to internal QA platforms such as API coverage mapping and intelligent test generation systems.

Mandatory Skills & Requirements

• 5–8 years of experience in API testing and automation.
• Strong programming skills in Java (preferred) or Python/Golang.
• Hands-on experience with API automation frameworks such as Rest Assured, Karate, or similar tools.
• Strong understanding of REST APIs, microservices architecture, request/response validation, and authentication flows.
• Experience in test planning, strategy, and execution across multiple system layers.
• Ability to analyze logs, debug failures, and collaborate with stakeholders for issue resolution.
• Practical exposure to AI tools for test generation, with the ability to refine and productionize outputs.
• Minimum 1 year of hands-on experience in AI projects involving RAG Models, Multi-Agent Systems, or Generative AI is mandatory.
• Candidates should currently be working with Product-based companies only.

About Us:

With a mission to upgrade the digital marketing industry with profound practical expertise and innovation, InSnap Technologies started its operations in 2018. Founded as a subsidiary of Spokesly INC based out of California, USA).

InSnap has grown to be a family of some of the best talent from around the world who empowered thousands of businesses of achieve their digital marketing goals. Powered with business intelligence data, vision, and out-of-the-box thinking, InSnap provides novelty solutions and tools to rest all the digital marketing worries for a B2B enterprise.

Role: Business Development Associate

Location: 747, Pooja Bulding,80 Ft road 4th Block, Koramangala, Bangalore,Karnataka-560034

Job Type: Full-Time, Night Shift

Eligibility Criteria:

👉🏼 Graduate (Any stream).

👉🏼 Minimum 1 year experience in inside sales/business development with revenue-based

responsibilities for the US/UK market.

👉🏼 Excellent communication, discovery, customer service and presentation skills (written

and verbal) to persuasively connect with senior level decision makers.

👉🏼 High level of proficiency in Microsoft Suite applications (Word, PowerPoint, Excel,

Outlook)

👉🏼 Proven ability to maintain a steady pipeline for short/mid/long term sales goal.

Key Responsibilities:

👉🏼 Demonstrate effective selling skills and product understanding to uncover customer needs

to position an appropriate solution.

👉🏼 Update and create tailored client proposals and negotiate further to close the deals.

👉🏼 Understand, monitor, and evaluate industry trends and customer drivers.

👉🏼 Manage proposal response process, including detailed RFP requirements, content

creation, and inputs from various sources.

👉🏼 Nurturing accounts and contacts through various mediums of communication.

👉🏼 Develop and implement overarching sales and business development strategy, sales

processes, structure, and best practices across the company.

👉🏼 Support deal structure and pricing with business value analysis; negotiate prices for

proactive bids and proposals.

Job Title: Manager - HR Digital & Analytics

Location: Gurgaon

Experience: 6+ years

Industry: Retail / FMCG / E-commerce / Corporate

Job Summary:

We are seeking a highly skilled Manager - HR Digital & Analytics to drive HR technology initiatives, optimize HR systems, and leverage data analytics for strategic decision-making. The role will focus on digital transformation, HRIS management, workforce analytics, and automation to enhance efficiency and employee experience.

Key Responsibilities:

1. HR Digital Transformation & HRIS Management

• Implement and manage HR technology solutions (HRMS, HCM, ATS, LMS, etc.).
• Drive HR automation and digitalization to improve processes.
• Partner with IT & HR teams to ensure seamless system integration and upgrades.
• Manage employee self-service portals and optimize user experience.

2. HR Data Analytics & Reporting

• Design and implement HR dashboards, reports, and analytics for decision-making.
• Analyze key HR metrics such as attrition, retention, performance, and engagement trends.
• Support workforce planning with predictive analytics and data-driven insights.
• Ensure accuracy and compliance of HR data across systems.

3. Process Improvement & Automation

• Identify and implement AI, automation, and chatbot solutions for HR services.
• Optimize employee lifecycle processes (onboarding, performance management, payroll, etc.).
• Lead HR digital upskilling and training initiatives for teams.

4. Compliance & Data Security

• Ensure HR systems comply with GDPR, labor laws, and data privacy policies.
• Work closely with IT and Compliance teams to maintain data integrity and security.

5. Stakeholder Management

• Collaborate with HR, IT, Finance, and leadership teams for digital projects.
• Work with external vendors to evaluate and implement HR tech solutions.

Key Skills & Requirements:

• 5+ years of experience in HR Digital Transformation, HR Analytics, or HRIS.
• Strong understanding of HRMS (SAP SuccessFactors, Workday, Oracle, PeopleStrong, Darwinbox, etc.).
• Hands-on experience in HR data visualization (Power BI, Tableau, or Excel Advanced Analytics).
• Knowledge of automation tools (RPA, AI-based HR solutions, or chatbots).
• Strong analytical mindset with expertise in HR reporting and predictive analytics.
• Excellent communication and stakeholder management skills.

Qualifications:

• MBA / PG in HR, Analytics, or IT.
• Certifications in HR Analytics, HR Technology, or Data Science are a plus.

Mail updated resume with current salary-

Email: jobs[at]glansolutions[dot]com

Satish: 88 O2 74 97 43

Website: www.glansolutions.com

Full-Stack Machine Learning Engineer

Role: Full-Time, Long-Term Required: Python Preferred: C++

OVERVIEW

We are seeking a versatile ML engineer to join as a core member of our technical team. This is a long-term position for someone who wants to build sophisticated production systems and grow with a small, focused team. You will work across the entire stack—from data ingestion and feature engineering through model training, validation, and deployment.

The ideal candidate combines strong software engineering fundamentals with deep ML expertise, particularly in time series forecasting and quantitative applications. You should be comfortable operating independently, making architectural decisions, and owning systems end-to-end.

CORE TECHNICAL REQUIREMENTS

Python (Required): Professional-level proficiency writing clean, production-grade code—not just notebooks. Deep understanding of NumPy, Pandas, and their performance characteristics. You know when to use vectorized operations, understand memory management for large datasets, and can profile and optimize bottlenecks. Experience with async programming and multiprocessing is valuable.

Machine Learning (Required): Hands-on experience building and deploying ML systems in production. This goes beyond training models—you understand the full lifecycle: data validation, feature engineering, model selection, hyperparameter optimization, validation strategies, monitoring, and maintenance.

Specific experience we value: gradient boosting frameworks (LightGBM, XGBoost, CatBoost), time series forecasting, probabilistic prediction and uncertainty quantification, feature selection and dimensionality reduction, cross-validation strategies for non-IID data, model calibration.

You should understand overfitting deeply—not just as a concept but as something you actively defend against through proper validation, regularization, and architectural choices.

Data Pipelines (Required): Design and implement robust pipelines handling real-world messiness: missing data, late arrivals, schema changes, upstream failures. You understand idempotency, exactly-once semantics, and backfill strategies. Experience with workflow orchestration (Airflow, Prefect, Dagster) expected. Comfortable with ETL/ELT patterns, incremental vs full recomputation, data quality monitoring, database design and query optimization (PostgreSQL preferred), time series data at scale.

C++ (Preferred): Experience valuable for performance-critical components. Writing efficient C++ and interfacing with Python (pybind11, Cython) is a significant advantage.

HIGHLY DESIRABLE: MULTI-AGENT ORCHESTRATION

We are building systems leveraging LLM-based automation. Experience with multi-agent frameworks highly desirable: LangChain, LangGraph, or similar agent frameworks; designing reliable AI pipelines with error handling and fallbacks; prompt engineering and output parsing; managing context and state across agent interactions. You do not need to be an expert, but genuine interest and hands-on experience will set you apart.

DOMAIN EXPERIENCE: FINANCIAL DATA AND CRYPTO

Preference for candidates with experience in quantitative finance, algorithmic trading, or fintech; cryptocurrency markets and their unique characteristics; financial time series data and forecasting systems; market microstructure, volatility, and regime dynamics. This helps you understand why reproducibility is non-negotiable, why validation must account for temporal structure, and why production reliability cannot be an afterthought.

ENGINEERING STANDARDS

Code Quality: Readable, maintainable code others can modify. Proper version control (meaningful commits, branches, code review). Testing where appropriate. Documentation: docstrings, READMEs, decision records.

Production Mindset: Think about failure modes before they happen. Build in observability: logging, metrics, alerting. Design for reproducibility—same inputs produce same outputs.

Systems Thinking: Consider component interactions, not just isolated behavior. Understand tradeoffs: speed vs accuracy, flexibility vs simplicity. Zoom between architecture and implementation.

WHAT WE ARE LOOKING FOR

Self-Direction: Given a problem and context, you break it down, identify the path forward, and execute. You ask questions when genuinely blocked, not when you could find the answer yourself.

Long-Term Orientation: You think in years, not months. You make decisions considering future maintainability.

Intellectual Honesty: You acknowledge uncertainty and distinguish between what you know versus guess. When something fails, you dig into why.

Communication: You explain complex concepts clearly and document your reasoning.

EDUCATION

University degree in a quantitative/technical field preferred: Computer Science, Mathematics, Statistics, Physics, Engineering. Equivalent demonstrated expertise through work also considered.

TO APPLY

Include: (1) CV/resume, (2) Brief description of a production ML system you built, (3) Links to relevant work if available, (4) Availability and timezone.

The client provides a unique platform that aims to revolutionize the way direct-to-consumer (D2C) brands interact with their consumers in the offline & online spaces and grow their sales & profitability. 

The Product Manager will be responsible for the complete product life cycle, from early-stage research and ideation, through implementation & iteration based on business process definition and its key metrics.

We're dedicated to the agile methodology and are believers in lean product development. We are looking for people who are eager to deliver across the entirety of the product development lifecycle and areas. We are keen that you bring experience that you can impart to the rest of us but also are motivated to improve in many other skills and be humble enough to take the initiative to unlearn & learn.

Key Requirements

- Experience as a Business Analyst or as a product manager, preferably from a product development, product-based, or Tech Platform based company.

- Understanding Business Processes, Output, and Input Metrics is essential.

- Experience working closely with design and development teams in an agile software development environment.

- Communication, networking, and stakeholder management skills.

- Creativity in problem-solving combined with an anything is possible attitude.

- Ability to expertly marry qualitative and quantitative inputs to form deep customer insight.

- Ability to think long-term strategically as well as get engaged in the day-to-day execution details.

- Technical knowledge and ability to learn complex, technical topics quickly and articulate & explain them simply.

- Understand the trade-offs of implementation and help dev teams to make the right call.

- Passion for technology trends, emerging architectures, and fundamentals of creating a scalable and user-friendly system.

What You'll Do

- Drive the technical vision and roadmap for your product area with Backlogs assembled to create a world-class technology platform for retail & e-commerce. ( Phygital)

- Process Definition and detailing of requirements, workflow, user interfaces, business logic, and key business metrics (Input and Output).

- Able to map Epics, User Stories from the Business Requirements and Process Flows.

- Design & solidify the software development processes as the development processes are getting defined at this time.

- Use data to derive insights from usage and feature adoption.

- Hire and grow the team, while working alongside them

Preferred Skillsets:

• Understanding of e-commerce & Retail domain

• Expertise in Microsoft applications – Excel, Word, PPT, etc.

• Experience in Agile development tools like Confluence, JIRA, Redmine, etc.

• Strong written and verbal communication skills

Qualifications:

• B.E/MBA from Tier 1 /2 Institutes

• 4+ years of overall experience Desired, Min – 2 Years.

• 4- 10 years of experience in Java Developer
• Programming experience in Java Spring Boot, Springboot
• Strong understanding of Data Structures and Algorithms
• API-Driven Development - Solid experience in RESTful , and Microservices development
• Experience in working with one of the concurrency frameworks like Mono,
• Experience working in ORM frameworks like Entity, Hibernate, Dapper
• Strong relational database experience in either Oracle, MS SQL, or Postgres
• Knowledge on frontend technologies such as JavaScript, HTML, CSS, and modern JavaScript frameworks (React, Angular, etc.).

About CoutLoot : 

- CoutLoot is India's leading social commerce offline to an online platform that lets anyone sell online in 30 seconds! We're on a mission to empower offline sellers to sell online using the CoutLoot app and sell their products to buyers all over the country.

- CoutLoot is a Series A funded company backed by leading Chinese VCs, Artha India Ventures, Venture Catalysts & others.

Job Description : We are looking for dynamic, open-minded self-starters who enjoy Business Leadership roles and would like to build a Category in an extremely fast-growing e-commerce company impacting millions of Indians.

Job Requirements :

- At least 2 years of experience working with iOS and has published at least one app to the App Store.

- Excellent proficiency in Swift and has experience working with Objective-C.

- Should have good knowledge of object-oriented software engineering.

- Should be able to deal with Objective-C in legacy code.

- Decent knowledge of protocol-oriented programming in Swift.

- Experience working with constraint-based layouts using AutoLayout.

- Should have a good eye for detail and have good skills in implementing clean UI and UX.

- Experience with testing frameworks and writing clean, testable code.

- Experience with client/server architectures using HTTP, REST APIs, etc.

- Must have excellent knowledge of Foundation framework, Core Data, etc.

- Experience with third-party libraries and APIs.

- Experience working with various architecture patterns like VIPER, MVVM, etc as well with clean code principles.

- Must be a team player with good communication skills and experience mentoring junior engineers.