Junior Video Editor

Position: Supervisor - Logistics

Location: Bangalore (Jakkanahalli Cross, T Begur, Nh-4, Nelamangala)

Payroll: Randstad

Candidate Profile

• 2 to 5 years of Experience.

• Excellent communication skills with good Knowledge of Kannada & English. Knowledge of Tamil, Telugu and Hindi will be added advantage.

• Candidate should be from Logistics background with sound understanding of local and interstate Transportation.

• Open to Travel to Tamil Nadu, Karnataka, AP, Telanga and Kerala for collection of material.

• Well versed with documentation involved in domestic transportation.

• Understanding of Warehouse operations (Collection, Unloading, Packing, Loading, Dispatch).

• Skills required – problem solving, negotiation

• Computer Knowledge is must

Job description

• Manage contract vehicles and hire vehicles from market for day to day operations.

• Co-ordinate with corporate Logistics team, Customer and collection team for timely execution of orders.

• Responsible for timely packaging and movement of material.

• Meeting with clients/site visit to understand the requirements.

• Prepare route plan as per business requirement.

• Resolve day to day operational challenges.

• SOP Implementation and adherence.

• Maintain and share reports.

We're at the forefront of creating advanced AI systems, from fully autonomous agents that provide intelligent customer interaction to data analysis tools that offer insightful business solutions. We are seeking enthusiastic interns who are passionate about AI and ready to tackle real-world problems using the latest technologies.

We are looking for a passionate AI/ML Intern with hands-on exposure to Large Language Models (LLMs), fine-tuning techniques like LoRA, and strong fundamentals in Data Structures & Algorithms (DSA). This role is ideal for someone eager to work on real-world AI applications, experiment with open-source models, and contribute to production-ready AI systems.

Duration: 6 months

Perks:

- Hands-on experience with real AI projects.

- Mentoring from industry experts.

- A collaborative, innovative and flexible work environment

After completion of the internship period, there is a chance to get a full-time opportunity as AI/ML engineer (6-8 LPA).

Compensation:

- Stipend: Base is INR 8000/- & can increase up to 20000/- depending upon performance matrix.

Key Responsibilities

• Work on Large Language Models (LLMs) for real-world AI applications.
• Implement and experiment with LoRA (Low-Rank Adaptation) and other parameter-efficient fine-tuning techniques.
• Perform model fine-tuning, evaluation, and optimization.
• Engage in prompt engineering to improve model outputs and performance.
• Develop backend services using Python for AI-powered applications.
• Utilize GitHub for version control, including managing branches, pull requests, and code reviews.
• Work with AI platforms such as Hugging Face and OpenAI to deploy and test models.
• Collaborate with the team to build scalable and efficient AI solutions.

Must-Have Skills

• Strong proficiency in Python.
• Hands-on experience with LLMs (open-source or API-based).
• Practical knowledge of LoRA or other parameter-efficient fine-tuning techniques.
• Solid understanding of Data Structures & Algorithms (DSA).
• Experience with GitHub and version control workflows.
• Familiarity with Hugging Face Transformers and/or OpenAI APIs.
• Basic understanding of Deep Learning and NLP concepts.

Role & Responsibilities:

We are looking for a strong Data Engineer to join our growing team. The ideal candidate brings solid ETL fundamentals, hands-on pipeline experience, and cloud platform proficiency — with a preference for GCP / BigQuery expertise.

Responsibilities:

• Design, build, and maintain scalable data pipelines and ETL/ELT workflows
• Work with Dataform or DBT to implement transformation logic and data models
• Develop and optimize data solutions on GCP (BigQuery, GCS) or AWS/Azure
• Support data migration initiatives and data mesh architecture patterns
• Collaborate with analysts, scientists, and business stakeholders to deliver reliable data products
• Apply data governance and quality best practices across the data lifecycle
• Troubleshoot pipeline issues and drive proactive monitoring and resolution

Ideal Candidate:

• Strong Data Engineer Profile
• Must have 6+ years of hands-on experience in Data Engineering, with strong ownership of end-to-end data pipeline development.
• Must have strong experience in ETL/ELT pipeline design, transformation logic, and data workflow orchestration.
• Must have hands-on experience with any one of the following: Dataform, dbt, or BigQuery, with practical exposure to data transformation, modeling, or cloud data warehousing.
• Must have working experience on any cloud platform: GCP (preferred), AWS, or Azure, including object storage (GCS, S3, ADLS).
• Must have strong SQL skills with experience in writing complex queries and optimizing performance.
• Must have programming experience in Python and/or SQL for data processing.
• Must have experience in building and maintaining scalable data pipelines and troubleshooting data issues.
• Exposure to data migration projects and/or data mesh architecture concepts.
• Experience with Spark / PySpark or large-scale data processing frameworks.
• Experience working in product-based companies or data-driven environments.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

NOTE:

• There will be an interview drive scheduled on 28th and 29th March 2026, and if shortlisted, they will be expected to be available on these Interview dates. Only Immediate joiners are considered.

Junior Programmatic Executive 

 Requirement: Junior Programmatic Executive

Experience: 1 to 3yrs

Location: Hyderabad 

The Role ​

We’re looking for an enthusiastic candidate to join our. This is a fantastic opportunity to get 

hands-on experience in programmatic advertising, campaign performance tracking, and 

multi-channel campaign execution within a high-growth industry.  

Key Responsibilities  

• Learn and manage programmatic advertising campaigns across various platforms ​

• Record daily traffic, registration, and first-time depositor (FTD) numbers for all domains in 

a shared spreadsheet ​

• Record traffic, REG, and FTD numbers by channel across all domains ​

• Create performance reports for all paid media campaigns ​

• Monitor live campaign traffic, tracking URLs, and landing URLs for accuracy and delivery ​

• Review and update landing pages with current promotions, ensuring finished ones are 

removed ​

• Ensure all landing pages display the latest terms and conditions ​

• Monitor live and completed campaign performance through paid media agency platforms 

and portals ​

• Review internal and external calendars for key fixtures and upcoming events ​

• Brief paid media agencies on upcoming campaigns and share required assets, including 

creatives, UTMs, and banner tags ​

• Learn and champion new and emerging channels such as Telegram and others ​

• Support the wider team with campaign planning, execution, and post-campaign reporting ​

• Maintain strong communication with internal stakeholders and agency partners to ensure 

campaigns run smoothly  

What We’re Looking For ​

• A graduate or someone looking to start their career in digital marketing ​

• A keen interest in programmatic buying and digital strategy ​

• Strong numerical and analytical skills – comfortable working with spreadsheets and 

performance data ​

• Excellent attention to detail and organisational skills ​

• Clear communication and interpersonal skills – able to collaborate with both internal 

teams and external partners ​

• Positive attitude, eagerness to learn, and a proactive mindset ​

• Interest in the gambling and betting industry is a plus  

What we are looking

• You must have experience in Python, including development of microservices using flask/fastapi/sanic.
• You hold knowledge of at least one Python web frameworks
• You have experience in NoSQL databases such as MongoDB
• You are familiar with relational databases and unstructured data.
• You are familiar with some ORM (Object Relational Mapper) libraries.
• You have prior exposure to code versioning tools such as Git.
• You understand fundamental design principles behind a scalable application

Good to have

• Experience in cloud services such as AWS
• Knowledge of user authentication and authorization between multiple systems, servers, and environments
• Understanding of the threading concepts in Python and multi-process architecture

What you'll do

• Create database schemas that represent and support business processes
• Integrate multiple data sources and databases into one system.
• Develop and integrate RESTful APIs and services for business use cases
• Perform unit and integration tests on developed modules

As a Frontend Engineer with a focus on Next.js and React, you will focus on fixing UI bugs and building new features

Position: Frontend Engineer (Next.js/React)

Location: Hyderabad

Type: Part-time, Remote

Responsibilities:

• Develop user-facing features and components using Next.js and React
• Optimize existing components
• Update packages
• Identify and address performance bottlenecks and troubleshoot UI issues

Qualifications:

Proficiency in Next.js and React.js is a must

Strong understanding of HTML5, CSS3, and JavaScript (ES6+)

Experience working with RESTful APIs and GraphQL

Familiarity with version control systems such as Git

Experience with state management libraries (e.g., Redux, MobX) is a plus

Knowledge of build tools like Webpack and Babel

Excellent problem-solving skills and attention to detail

Ability to work independently and as part of a team in an agile environment

• Efficiently realize the UI/UX needs and deliver excellent front-end features.
  
• Maintain quality of our SAAS platform and ensure responsiveness of applications/cloud-run services.
  
• Collaborate with the rest of the teams to design and launch additional/new features and services.
  
• Develop and maintain the source codes.
  
• Optimize and stabilize the overall service architecture (front) from both engineering and commercial point of view.

• Should be highly skilled in the MERN (MongoDB, Express, React, Node)stack.
  
• Should have knowledge of different React Hooks, and should be able to develop custom hooks.
  
• Should have an understanding of making good-looking plots, an understanding of D3.js is preferred.

Job Description: Product Manager for GenAI Applications on Data Products About the Company: We are a forward-thinking technology company specializing in creating innovative data products and AI applications. Our mission is to harness the power of data and AI to drive business growth and efficiency. We are seeking a dynamic and experienced Product Manager to join our team and lead the development of cutting-edge GenAI applications. Role Overview: As a Product Manager for GenAI Applications, you will be responsible for conceptualizing, developing, and managing AI-driven products that leverage our data platforms. You will work closely with cross-functional teams, including engineering, data science, marketing, and sales, to ensure the successful delivery of high-impact AI solutions. Your understanding of business user needs and ability to translate them into effective AI applications will be crucial. Key Responsibilities: - Lead the end-to-end product lifecycle from ideation to launch for GenAI applications. - Collaborate with engineering and data science teams to design, develop, and deploy AI solutions. - Conduct market research and gather user feedback to identify opportunities for new product features and improvements. - Develop detailed product requirements, roadmaps, and user stories to guide development efforts. - Work with business stakeholders to understand their needs and ensure the AI applications meet their requirements. - Drive the product vision and strategy, aligning it with company goals and market demands. - Monitor and analyze product performance, leveraging data to make informed decisions and optimizations. - Coordinate with marketing and sales teams to create go-to-market strategies and support product launches. - Foster a culture of innovation and continuous improvement within the product development team. Qualifications: - Bachelor's or Master's degree in Computer Science, Engineering, Business, or a related field. - 3-5 years of experience in product management, specifically in building AI applications. - Proven track record of developing and launching AI-driven products from scratch. - Experience working with data application layers and understanding data architecture. - Strong understanding of the psyche of business users and the ability to translate their needs into technical solutions. - Excellent project management skills, with the ability to prioritize tasks and manage multiple projects simultaneously. - Strong analytical and problem-solving skills, with a data-driven approach to decision making. - Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams. - Passion for AI and a deep understanding of the latest trends and technologies in the field. Benefits: - Competitive salary and benefits package. - Opportunity to work on cutting-edge AI technologies and products. - Collaborative and innovative work environment. - Professional development opportunities and career growth. If you are a passionate Product Manager with a strong background in AI and data products, and you are excited about building transformative AI applications, we would love to hear from you. Apply now to join our dynamic team and make an impact in the world of AI and data.

Role and Responsibility:

 Developing firmware for robust embedded system devices

 Active involvement in designing architecture, communication protocols & selection of technology.

 Designing test cases and active participation in testing

 Team building and grooming new members.

Candidate Skill Set:

 Thorough knowledge and hands on experience of Embedded C programming.

 Experience of firmware development on multiple microcontroller families like AVR, MSP430, STM32,

Renesas, etc.

 Strong programming & debugging skills.

 Knowledge of IDE’s like Keil, AVR Studio, IAR, Cubesuit will be an added advantage.

 Hands on experience of working on wireless communication (BLE, Wi-Fi, Zigbee, LoRa, GSM/ GPRS)

Qualification:

 A team player with excellent analytical, problem-solving skills, with strong ability to quickly learn.

 Passion for developing products with new technologies.

 Bachelor's/ master’s degree in electronics related discipline or equivalent experience

 Experience of 1-3 years

We are looking for experienced Full Stack Web Developers. Web Application developer who possesses a passion for pushing web technologies to the limits and will work with our team of talented engineers to design and build the next generation of our web applications.

Responsibilities

• Design and build scalable, mobile-first web applications
• Collaborate with cross-functional teams to define, design, and ship new features
• 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

Skills

• BS/MS degree in Computer Science, Engineering or a related subject.
• 3 to 5 years of industry experience as a Full Stack Developer with focus in React.js and Node.js 
• Experience with Express.js and Node.js is a must.
• Experience with third-party libraries and APIs is required.
• Experience using Google Firebase is an asset.
• Experience in UI/UX design is preferred.
• You should also be up to speed on practices like TDD, CI/CD, and pair programming.
• You should be very comfortable working with Agile, Lean and Continuous Delivery practices -- and love it as much as we do.
• Understanding and playing a part in the entire cycle of software consulting and delivery (ideation, project conception, UX, code, testing, deployment, and around again).
• Working knowledge of the general web application landscape, architectures, trends, and emerging technologies.
• Solid understanding of the application development life cycle.