Project Manager

Company Overview

Ailaysa Technologies is a fast-growing AI startup specializing in state-of-the-art technological solutions for multilingual content. We are looking for highly driven, analytical minds to join our research and strategy team.

Role Summary

As a Market Research Intern, you will play a crucial role in gathering, analyzing, and synthesizing data to provide actionable market insights. You will work closely with cross-functional leadership teams to track industry trends, map competitor strategies, and produce data-driven reports, competitor matrices, and industry white papers that influence business decisions.

Key Responsibilities

• Market Intelligence & Trend Analysis:
• Conduct extensive primary and secondary market research on industry trends, emerging technologies, and target audience behavior.
• Synthesize complex qualitative and quantitative data into structured market intelligence reports.
• Competitor Analysis & Benchmarking:
• Continuously track and evaluate key industry competitors, looking at their product features, pricing structures, marketing tactics, and market positioning.
• Build and maintain detailed competitor analysis frameworks and SWOT matrices for internal strategic reviews.
• White Paper & Thought Leadership Content:
• Assist in drafting, proofreading, and structuring deep-dive white papers, case studies, and industry insight documents.
• Conduct rigorous data validation and literature reviews to ensure technical accuracy and credibility in published documents.
• Data Aggregation & Reporting:
• Collect numbers and statistics from research databases, financial filings, and industry journals.
• Design clean, easy-to-digest data visualizations and slide decks to present findings to leadership stakeholders.

Required Skills & Qualifications

• Education: Final year student or recent graduate with a Master’s degree in Business Administration (MBA), Marketing, Economics, Statistics, Data Analytics, or a related discipline.
• Research Aptitude: Strong ability to separate high-quality data from noise using secondary research tools, industry journals, and reliable analytical frameworks.
• Analytical Thinking: Proficiency in analyzing numerical data, identifying patterns, and drawing logical, unbiased conclusions.
• Technical Writing: Exceptional written communication skills with the ability to write in an objective, professional, and structured tone (essential for white papers and reports).
• Tools: Proficient with MS Office / Google Workspace (especially Excel/Sheets for data tracking and PowerPoint/Slides for presentations). Exposure to data visualization tools (like Power BI or Tableau) is a major plus.

Key Performance Indicators (KPIs) for the Intern

• Research Accuracy: Delivery of validated, error-free competitor and market datasets.
• Document Readability: Structuring white papers and reports that require minimal structural edits from senior leadership.
• Timeline Adherence: Turning around market intelligence reports within agreed project deadlines.

What We Offer

• Mentorship: Direct exposure to product managers and strategic business leaders.
• Real Impact: Opportunity to see your research directly shape the corporate roadmap and published white papers.
• Career Growth: High potential for a Full-Time Employee (FTE) conversion based on performance during the internship.
• Stipend: Best-in-industry internship stipend.

Join Hutech Solutions – Innovate, Lead, and Transform!

We are a global AI-driven software services and product engineering powerhouse, founded and led by

visionary technology leaders from Walmart. We are redefining the future of technology by building

next-gen solutions that empower businesses across Banking, Finance, eCommerce, and Logistics

industries.

At Hutech, we don’t just build software—we create impact. Our culture fosters innovation, creativity,

and continuous learning, enabling our team to push boundaries and solve real-world challenges using

cutting-edge AI tools and techniques.

Position Summary

We are looking for a skilled Data Engineer with strong expertise in Amazon Redshift, advanced SQL,

and data modelling to design, build, and optimize scalable data platforms on AWS. The ideal

candidate will play a key role in developing reliable data pipelines, enforcing data quality standards,

and enabling analytics and reporting across the organization.

Key Responsibilities

● Design, build, and optimize data models (fact/dimension, star/snowflake schemas) with a

strong focus on performance and scalability.

● Develop and maintain complex SQL queries in Amazon Redshift for analytics, reporting, and

downstream consumption.

● Optimize Redshift performance using distribution styles, sort keys, query tuning, and workload

management (WLM).

● Build and orchestrate scalable data pipelines using AWS Glue, Amazon EMR, Apache Spark,

and Airflow.

● Implement data quality checks, validation rules, and monitoring frameworks to ensure

accuracy and consistency.

● Work closely with analytics, BI, and business teams to translate requirements into robust data

solutions.

● Manage and optimize data storage and movement using Amazon S3.

● Ensure best practices in data security, governance, and documentation.

● Troubleshoot data issues and provide root-cause analysis and long-term fixes.

Required Qualifications

● Bachelor’s degree in Computer Science, Engineering, or a related field

● 3–5 years of hands-on experience in data engineering

● Strong advanced SQL skills (mandatory) with deep experience in Amazon Redshift

● Proven expertise in data modeling for analytical workloads

● Strong understanding of AWS data services, including: Amazon Redshift, AWS Glue, AmazonS3, Amazon EMR

● Experience with data pipeline and workflow orchestration tools such as Apache Airflow

● Hands-on experience with Apache Spark

● Proficiency in at least one programming/scripting language such as Python, Java, or Scala

● Solid understanding of data quality, validation, and best practices

Nice to have

● Experience designing large-scale analytics and reporting platforms

● Familiarity with BI tools and downstream analytics use cases

● Experience with cost optimization and performance tuning on AWS

● Exposure to CI/CD for data pipelines

Key Skills

● Amazon Redshift (SQL – Advanced)

● Data Modeling (Analytics-focused)

● AWS (S3, Glue, EMR)

● Apache Airflow

● Apache Spark

● Python / Java / Scala

● Data Quality & Optimization

Responsibilities

• Understand product requirements and create test plans, test cases, and test scenarios
• Perform manual testing of web and/or mobile applications
• Identify, report, and track bugs using tools like JIRA or similar
• Perform regression, smoke, functional, and UI testing
• Collaborate with developers to resolve issues and validate fixes
• Participate in requirement reviews and sprint planning
• Ensure high-quality releases within defined timelines

Requirements

• Experience in Manual Testing (Automation is a plus)
• Good understanding of SDLC and STLC
• Knowledge of testing techniques and methodologies
• Experience with bug tracking tools (JIRA, Bugzilla, etc.)
• Basic understanding of APIs, databases, or SQL is a plus
• Strong analytical and communication skills

Nice to Have

• Automation experience (Selenium, Cypress, Playwright, etc.)
• Experience testing mobile apps (Android/iOS)
• Knowledge of Agile/Scrum methodologies

Requirement

Position : Sr React Js Developer
Location : Bangalore
Experience :  MIN 4  years
Mandatory skills :
Reactjs, Javascript, Redux
NP : Immediate to 15 days
Ctc : As per company norms

Snr Web developer (New)

Knowledge in react JS, Javascript, HTML, CSS

Understanding of advanced hooks, redux, saga concepts, context API

Advanced understanding of ES6, ES7 JS, advanced javascript and typescript features

Understanding of coding practices, best practices, architecture

Understanding of advanced concepts in reactJS like observables, interceptors, code splitting, performance enhancement and SEO

Regards
sunitha,
HR Executive

• Driving advertising revenues and business-planning process across cross-functional teams of the company
• Optimizing ad formats and backend software to maximize CPMs and Inventory fill rates without compromising on user experience
• Assessing different ad networks, negotiating the best rates
• Developing, implementing and maintaining timelines across multiple departments
• Translating strategy into detailed requirements for prototype construction and final product development by engineering teams
• Working closely with the product, engineering and business teams on the development, QA and release of the products
• Working closely with our M&A team to identify apps worth purchasing, price to pay and revenue optimization upside
• Working on Ad Hoc projects that the company may need to prioritize or ask you to get involved with basis your expertise

Desired Candidate Profile

• 2+ years of experience
• Strong experience in a mobile ad revenue and monetization role
• Hands-on experience in managing monetization across a portfolio of mobile products
• Knowledge of Ad Networks, Mediation and RTB
• Understanding of the Google AdMob framework and experience in dealing with ITV issues
• Excellent communication skills
• Ability to ideate & execute
• Experience managing & executing monetization across multiple apps (products) and use cases is a big plus