Sales Executive

Ideal Candidate

At least 8+ years of experience in Product design

Preferred Qualifications:

Bachelor’s degree in engineering or a related field

Advanced degree in UX design, HCI, or related design fields

At least 5 years of experience designing for data product or B2B SaaS experiences

At least 5 years with working with a variety of business partners and delivering outcomes

At least 5 years with familiarity with design and prototyping tools, such as Figma

At least 2 years of familiarity with working and contributing to an established design system

Role : Production In charge

Qualification : Diploma in Electrical / Electronics / Mechanical

Experience :

1–3 years experience in wiring harness industry

b) Knowledge of LVDS and high-speed cables

Wiring Harness Knowledge:

• Understanding of LVDS cable construction

• Crimping process knowledge

• Continuity testing & Hi-Pot testing

• Reading wiring diagrams & work instructions

• Harness routing & connector assembly standards

Process & Machine Knowledge:

• Crimping machines (semi-auto/manual)

• Cutting & stripping machines

• Taping machines

• Basic soldering

• Crimp height micrometer, pull tester

Team Leadership & Supervision:

• Ability to lead, supervise, and motivate a team of 20–30 operators/technicians.

• Managing shift-wise manpower allocation and task assignments.

• Conducting daily team briefings and ensuring smooth coordination among all members.

• Handling team conflicts professionally and maintaining discipline on the shop floor.

Please note: Candidates who have applied in the last 6 months are requested not to reapply

Position Overview:

We are looking for an experienced Senior Laravel Developer who thrives in a fast-paced environment and has experience handling multiple projects and diverse interfaces. The ideal candidate will lead the development and maintenance of applications, ensuring security, scalability, and seamless third-party integrations while collaborating with front-end developers, UX/UI designers, and key stakeholders.

Requirements:

- Experience: Approx.1 year to 6 years in PHP development with a focus on Laravel & MySQL.

- Deep understanding of Laravel architecture (Service Container, Service Providers, Facades,

Eloquent ORM, Queues, Jobs, Events, Middleware, Broadcasting, and Caching).

- Front-End: Proficiency in HTML5, CSS3, Bootstrap 5, jQuery, AJAX

- Version Control & Tools: Experience with Git, JIRA, AWS SDK

- Payment Integrations: At least one payment gateway (e.g., Stripe, Braintree, Plaid, Razorpay)

- Third-Party API Integrations: Experience with Firebase, Google Maps, Email/SMS services

- Work Environment: Ability to work in a fast-paced, high-performance setting and efficiently manage multiple projects and interfaces

- Experience with Laravel Sanctum/Passport for authentication and API security.

- REST API development & documentation (Apiary)

Good to Have:

- Experience with multiple databases (MySQL, PostgreSQL, MongoDB)

- Basic knowledge of AWS services (S3, EC2, RDS, SES)

- Understanding of encryption, hashing, encoding (SES, SHA, RSA)

- Experience integrating Stripe Payment Gateway

-Experience working on AI/ML-based projects or research

-Exposure to AI models with applications (e.g., using APIs or SDKs)

Job Details:

Job Type: Full-time

Salary: 5,00,000 - 20,00,000 per year

Schedule: Monday - Friday

Location: Balewadi-Baner Road, Pune (In-Person Only)

Job Type: Full-time

Benefits:

• Flexible schedule
• Paid time off

Experience:

• Total work: 5 years (Required)
• Laravel: 5 years (Required)

Work Location: In person

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.

We are looking for an Android Developer who possesses a passion for pushing mobile technologies to the limits. This Android app developer will work with our team of talented engineers to design and build the next generation of our mobile applications. Android programming works closely with other app development and technical teams.

Responsibilities

• Design and build advanced applications for the Android platform
• Collaborate with cross-functional teams to define, design, and ship new features
• Work with outside data sources and APIs
• Unit-test code for robustness, including edge cases, usability, and general reliability
• Work on bug fixing and improving application performance
• Continuously discover, evaluate, and implement new technologies to maximize development efficiency

• Experienced in creating microcopy that will drive visitors towards taking the right actions across our website
• Experienced in writing technical documents like product sheets, product manuals, technical guides, tutorials, etc
• Experienced in proofreading and editing content copies
• Experienced in creating content as per our Ideal Customer Profile
• Work with the marketing team for generating fresh content ideas
• Should have basic knowledge of search engine optimization
• Experienced in creating concise, eye-catching, and innovative headlines and a body of technical documents.
• Experience- 5-10years
• Salary -5-15lpa

This position will play a primary role in planning, implementing, leading and executing all aspects of Quality and Testing. The role requires hands-on QA expertise, ability to take initiative and develop and evolve our QA processes. The right candidate will be able to analyze the systems to determine what to test, the priority of those tests and the best way to test.

• Perform impact/test analysis for the new features, feature-enhancements and bug fixes.
• Conduct test design and test execution for functional/non-functional aspects of features / product
• Hands-on execution for functional/non-functional aspects of features / product
• Automate the tests to ensure repeatability of tests

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An enthusiastic individual with the following skills. Please do not hesitate to apply if you do not match all of it. We are open to promising candidates who are passionate about their work and are team players.

• 3 to 5 years’ experienced software quality professional.
• Experienced developing and executing test cases, scripts, plans and procedures to support various development methodologies.
• Familiarity with entire software development life cycle and test cycles (Unit, Regression, Functional, Systems, Performance and Volume, User Acceptance)
• Knowledge & experience on java or python, selenium, appium etc to perform the automation of websites and apps on desktop/handheld devices
• Knowledge & experience on tools like JMeter, gatling, locust to perform non-functional tests
• Detailed and effective written communication skills for documenting the features tested and bugs found
• Highly organized, detail oriented, extremely responsive candidate who would like to take up technical challenges
• Self-motivated, works well independently and with others

‍

You will work with a top-notch tech team and report to the engineering head.

A wholesome opportunity in a fast-paced environment that will enable you to juggle between concepts, yet maintain quality on content, interact and share your ideas and have loads of learning while at work. Work with a team of highly talented young professionals and enjoy the benefits of being at Xoxoday.

A fast-growing SaaS commerce company based in Bangalore with offices in Delhi, Mumbai, SF, Dubai, Singapore and Dublin. We have three products in our portfolio: Plum, Empuls and Compass. Xoxoday works with over 1000 global clients. We help our clients in engaging and motivating their employees, sales teams, channel partners or consumers for better business results.

We look forward to connecting with you. As you may take time to review this opportunity, we will wait for a reasonable time of around 3-5 days before we screen the collected applications and start lining up job discussions with the hiring manager. We however assure you that we will attempt to maintain a reasonable time window for successfully closing this requirement. The candidates will be kept informed and updated on the feedback and application status.