BUSINESS DEVELOPMENT ASSOCIATE

Position Title : LLM - Lua Developer

Experience : 3+ Years

Opportunity : Full-time (40 hours/week) with a 5-hour PST overlap.

About the Role :

A NASDAQ-listed company is seeking a skilled Lua Developer to enhance AI-powered tools for the mobile coding ecosystem. The role involves developing next-gen coding assistants for various applications in a fast-paced environment.

Required Skills:

• 3+ Years of experience in Lua development.
• Strong knowledge of Lua and software development best practices.
• Experience with Git and version control systems.
• Problem-solving skills with attention to detail.
• Good communication and teamwork abilities.
• Experience using LLMs/AI for coding.

Nice to Have :

• Experience with game development, embedded systems, ML, or DevOps.
• Knowledge of C, C++.

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.

EXCITED ABOUT YOUR TASKS?

Team Leadership:

● Lead, mentor, and manage a team of recruiters responsible for sourcing freelance interview panel members based on client requirements.

● Ensure that the team achieves its sourcing and onboarding targets effectively.

Panel Sourcing & Onboarding:

● Collaborate with recruiters to source potential panel members using various tools like Naukri and other databases.

● Oversee the onboarding process to ensure smooth integration of panel members into Incruiter’s system.

● Leverage technical expertise in IT profiles (e.g., software development, data science, DevOps, cloud computing, cybersecurity and niche technologies) to identify candidates with relevant skills and industry experience.

Relationship Management:

● Build and maintain strong relationships with onboarded panel members to ensure their satisfaction and continued collaboration.

● Handle escalations and resolve issues promptly and professionally.

Quality Assurance:

● Ensure that the panels provided to clients meet high-quality standards and align with the specific job descriptions shared by clients.

Reporting & Coordination:

● Provide regular updates and reports to higher management on team performance and onboarding progress.

● Work closely with the client success and operations teams to align goals and deliverables.

Qualifications:

● A minimum of 10+ years of experience in recruitment or a similar role.

● Proven team management experience is mandatory.

● Proficiency in using recruitment tools and databases such as Naukri, LinkedIn, and other sourcing platforms.

● Strong communication and interpersonal skills.

● Ability to handle multiple tasks and prioritize effectively in a fast-paced environment.

● Experience in relationship management with freelancers or external consultants is a plus.

Why Join Us?

● Be part of a fast-growing platform revolutionizing the way companies hire interview panels.

● Opportunity to lead a team and make a significant impact on client success.

● Work in a collaborative and innovative environment.

JOB DESCRIPTION - Inside Sales Specialist Company Profile: Skolar aims to provide the finest project based education to learners, helping them in getting placed in their dream companies by providing them with the right training and path to outperform their interviews. We dedicate our platform to providing you with the very best mentorship on our courses, with an emphasis on Interactive learning style, a great mentorship workaround, and affordability across all the courses thus helping students achieve more holistic education and prepare them for better career opportunities.

Designation: Inside Sales Specialist

Job Overview: We are seeking a highly motivated and results-driven Inside Sales Specialist to join our dynamic team in the EdTech industry. As an Inside Sales Specialist, you will play a crucial role in driving revenue growth by actively engaging with potential customers, understanding their needs, and effectively promoting our EdTech solutions. Your ability to build strong relationships and articulate the value of our products will be key to your success. If you are passionate about education and technology and possess excellent communication and sales skills, we invite you to join us in revolutionizing the way education is delivered.

Roles and Responsibilities: ● Conduct proactive outreach to potential clients via phone calls, emails, and other communication channels to generate new leads and opportunities.

● Build and maintain a robust sales pipeline by identifying and qualifying potential customers, understanding their needs, and presenting tailored solutions.

● Develop a deep understanding of our EdTech products, their features, and benefits to effectively articulate their value to potential customers.

● Collaborate closely with the sales team, marketing, and product development to ensure a consistent approach to customer engagement and maximize sales effectiveness.

● Conduct product demonstrations and presentations to showcase the capabilities and advantages of our EdTech solutions.

● Respond to customer inquiries, provide accurate information, and address any concerns promptly.

● Negotiate and close deals while adhering to company pricing and sales strategies.

● Keep up-to-date with industry trends, market dynamics, and competitive landscape to identify new opportunities and stay ahead in the EdTech space.

● Collaborate with customer success teams to ensure a seamless onboarding experience for new clients and foster long-term customer relationships.

Requirements: ● Bachelor's degree or equivalent experience.

● Proven track record in inside sales, preferably in the EdTech industry(Optional).

● Strong passion for education and technology, with a genuine desire to make a positive impact on the educational landscape.

● Excellent communication and interpersonal skills, with the ability to build rapport and establish trust with customers.

● Demonstrated ability to handle objections and turn them into opportunities.

● Results-driven with a proven ability to meet and exceed sales targets. ● Highly organized and able to manage multiple tasks and priorities simultaneously.

● A team player with a collaborative approach and willingness to contribute to the success of the overall sales team.

● Flexibility to adapt to a fast-paced and rapidly evolving work environment

Responsibilities:

●     Design and develop websites and web applications from initial concept, site architecture, and user interface to finished deliverables.

●     Write clean, secure, test-driven, easily maintainable and modular codes adhering to the technical standards.

●     Database designing and maintenance.

●     Create and update reusable code libraries to streamline the development cycle.

●     Ensure HTML, CSS, and shared JavaScript is valid and consistent across applications

●     Collaborate and work with front-end/mobile developers on the backend needs of projects.

●     Client communication (verbal/written) as and when required.

Required Skills:

●     Previous working experience as a PHP / Laravel developer. Experience in CMS like Drupal and WordPress will be an added advantage.

●     Excellent knowledge of the Laravel framework and experience building factories/facades/libraries using abstract classes, interfaces, and traits.

●     Good knowledge of RDBMS (MySQL/MS SQL/PostgreSQL), database designing and query optimization techniques.

●     Good core knowledge of HTML5, CSS3, jQuery and Bootstrap framework.

●     Hands-on experience in RESTful API design and development, including implementing oAuth2.0 for authentication and authorization.

●     Strong problem-solving and analytical skills.

●     Excellent communication (verbal/written) skills.

Desired Candidate Profile

• A Master's degree in business administration (MBA), Marketing
• Minimum 5-6 yrs of Sales experience with understanding of paper industry
• Excellent verbal and written communication skills
• Willingness to travel regularly to different markets
• Proficiency with Microsoft office
• Strong analytical skills and ability to work well with little supervision    

About Xpresslane:

Xpresslane is a universal one-click checkout platform for eCommerce. We want to transform

the way online shoppers buy, Democratize optimized checkout and post checkout

experience. We have achieved 100+ signups from D2C merchants in the last year alone and

are aggressively adding new features to help solve problems in their checkout process.

Engineering @Xpresslane:

We are a small group of Tech Enthusiasts, Product Managers. We give incredible value to

design and UX is our topmost priority. We've implemented products using Go, Java,

Kubernetes, Docker, Temporal, GraphDB, Svelte & React, Cypress, Gitlab CI/CD.

Expertise

● 3-4 years of experience in Software Testing and development

● Work with developers and product managers to identify and plan for e2e testing,

monitoring applications and software systems

● Plan for automated testing as part of CI/CD

● Plan, Design and implement automated e2e testing

● Familiarity with JavaScript and NodeJS

● Familiarity with any e2e testing tools like Cypress, Protractor

● Work towards departmental and project deadlines

● Familiarity with tools like BrowserStack would be a plus

At the moment, we are looking for engineers for our Bangalore office.