- Design, configure, test, deploy and maintain reusable Automation Anywhere scripts and frameworks.
- Create and maintain technical documentation, including the Solution Design Document.
- Work collaboratively with Product Owners and Business Teams during test phases and UAT to test, debug and overcome issues.
- Participate in and contribute to deployment activities inclusive of Pre and Post release activities.
- Work on Automation Anywhere and IQ Bot related solutions as needed.
- Participate in daily team stand-ups, planning sessions, etc.
- Work closely with stakeholders to review and refine business process workflows including identifying areas of possible simplification.
- Lead deployment of new releases / upgrades within RPA.
- Propose and implement system enhancements (software and hardware updates) that will improve the performance and reliability of the system.

About Ace Skill Development Pvt Ltd
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About CodeRound
CodeRound is an AI-powered hiring solution that enables talent acquisition teams at top product startups to screen and identify the best tech and AI talent. Our platform conducts fast AI-driven technical and AI pipeline interviews, helping companies go from interview to hire in just 7 days, with an industry-leading interview-to-offer ratio of 6:1.
We are growing rapidly and are looking for a Technical Recruiter to help us scale our internal team and ensure top-quality candidate experiences.
Role Overview
As a Technical Recruiter at CodeRound, your primary responsibility will be to screen and engage candidates for both our internal roles and those moving through our AI interview platform. You’ll play a key role in qualifying talent, coordinating interviews, and supporting smooth communication between candidates, hiring teams, and our platform.
This is a high-impact role where you’ll work closely with the founders and product team to shape the future of AI-powered hiring.
Key Responsibilities
- Screen and qualify candidates for our team.
- Conduct initial phone calls and follow-ups with candidates to assess fit and interest.
- Coordinate interviews, track candidate progress, and ensure a smooth hiring experience.
- Collaborate with internal teams to understand role requirements and hiring priorities.
- Maintain accurate candidate data in our internal tools and applicant tracking systems.
- Support customer relationships with timely updates and basic account coordination.
- Act as a friendly and professional point of contact for candidates and clients.
- Work closely with the sales and operations teams to improve hiring workflows.
- Ensure an exceptional candidate and client experience at every stage of the funnel.
What We’re Looking For
- 0–3 years of experience in technical recruiting, sourcing, or talent coordination.
- Strong communication skills—you're confident on calls and clear in writing.
- Familiarity with tech roles and the basics of engineering hiring.
- Organized and detail-oriented with the ability to manage multiple candidates at once.
- Experience with ATS tools, CRMs, or recruiting platforms is a plus.
- Comfortable working in a fast-moving startup environment.
- Bonus: Experience working with hiring platforms or recruiting for B2B SaaS or AI startups.
Why Join Us?
- Be part of a fast-growing AI startup revolutionizing interviewing.
- Work directly with experienced founders and a high-performance team.
- Competitive salary + performance-based incentives.
- Flexible hybrid work environment with opportunities for rapid growth.
If you're a people-first recruiter who loves working with top tech talent, we’d love to hear from you! Apply now and help us build the future of AI-driven hiring.
We are looking for an experienced SEO Expert to join our dynamic team. The ideal candidate will be responsible for developing and executing SEO strategies to improve website rankings, drive organic traffic, and increase online visibility across various platforms. You will work closely with our content, marketing, and development teams to optimize our website and content for search engines.
Key Responsibilities:
- Conduct keyword research to identify high-ranking keywords for SEO optimization.
- Optimize on-page elements such as meta tags, titles, and descriptions for SEO.
- Develop and implement link-building strategies to increase website authority.
- Improve website structure and navigation to enhance user experience and SEO performance.
- Monitor, analyze, and report on SEO performance using tools like Google Analytics, SEMrush, Moz, or Ahrefs.
- Collaborate with content writers to ensure content is optimized for search engines.
- Stay up-to-date with the latest SEO trends, algorithms, and best practices.
- Perform competitor analysis and identify new opportunities for growth.
- Manage technical SEO improvements, including site speed, mobile optimization, and schema markup.
- Optimize content for featured snippets, voice search, and local SEO.
Skills & Qualifications:
- Proven experience in SEO, with a solid understanding of on-page, off-page, and technical SEO.
- Proficiency in SEO tools (e.g., Google Analytics, SEMrush, Moz, Ahrefs).
- Experience with website analytics tools and keyword research platforms.
- Strong understanding of Google’s algorithms, ranking factors, and SEO guidelines.
- Ability to work independently and manage multiple tasks effectively.
- Strong communication skills, both written and verbal.
- Ability to analyze data, extract insights, and make data-driven decisions.
- Familiarity with HTML, CSS, and website content management systems (WordPress, Shopify, etc.) is a plus.
- A creative and innovative approach to SEO problem-solving.
Who we are looking for :
We are looking for a Software Engineering Manager with experience with back-end and/or front-end (MEAN or MERN Stack) teams.
Role and Responsibilities:
- Strong proficiency in Javascript
- Experience on UI framework (Angular, React) and/or knowledge of Node.js and frameworks available for it such as Express, socket.io etc. depending on your technology stack
- Experience in working with teams to integrate APIs
- Translate designs and wireframes into high-quality code
- Building reusable components and libraries for future use
- Optimize application for optimal performance and scalability
- Proficient understanding of code versioning tools, such as Git
- Good with agile development practices such as continuous integration and deployment
- Implementing automated testing platforms and unit tests
Qualifications:
- Minimum BTech/BE or MCA required
- Experience working in a tech lead.
- Excellent communication and organization skills
Role : Principal Devops Engineer
About the Client
It is a Product base company that has to build a platform using AI and ML technology for their transportation and logiticsThey also have a presence in the global market
Responsibilities and Requirements
• Experience in designing and maintaining high volume and scalable micro-services architecture on cloud infrastructure
• Knowledge in Linux/Unix Administration and Python/Shell Scripting
• Experience working with cloud platforms like AWS (EC2, ELB, S3, Auto-scaling, VPC, Lambda), GCP, Azure
• Knowledge in deployment automation, Continuous Integration and Continuous Deployment (Jenkins, Maven, Puppet, Chef, GitLab) and monitoring tools like Zabbix, Cloud Watch Monitoring, Nagios
• Knowledge of Java Virtual Machines, Apache Tomcat, Nginx, Apache Kafka, Microservices architecture, Caching mechanisms
• Experience in enterprise application development, maintenance and operations
• Knowledge of best practices and IT operations in an always-up, always-available service
• Excellent written and oral communication skills, judgment and decision-making skill
Exp ; 1 to 2 yrs
skills : C++
Location : Bangalore
BE / BTECH -2019 / 2020
sarinatbeiingdotin
Bachelor Degree required, preferably in Computer Science or related field
* 1+ years of software development experience using C++ programming language
* Experience working on JavaScript would be an added advantage
* Experience using Linear Algebra, 3D Scene model, Cairo - 2D Drawing Framework
* Working experience using any of these: POV-RAY, GeoTiff, WGS 84 and Web Mercator
projection
* Experience with cloud technologies AWS SDK and containerization
* Experience with PostgreSQL or other Relational Databases
* Test-driven development mindset and a focus on quality, scalability and performance
* Strong programming fundamentals and ability to produce high quality code
* Excellent communication, collaboration, reporting, analytical and problem-solving skills
* Solid understanding of Agile (SCRUM) Development Process required
Work shift: Day time
- Strong problem-solving skills with an emphasis on product development.
insights from large data sets.
• Experience in building ML pipelines with Apache Spark, Python
• Proficiency in implementing end to end Data Science Life cycle
• Experience in Model fine-tuning and advanced grid search techniques
• Experience working with and creating data architectures.
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural
networks, etc.) and their real-world advantages/drawbacks.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions,
statistical tests and proper usage, etc.) and experience with applications.
• Excellent written and verbal communication skills for coordinating across teams.
• A drive to learn and master new technologies and techniques.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Develop custom data models and algorithms to apply to data sets.
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes.
• Develop company A/B testing framework and test model quality.
• Coordinate with different functional teams to implement models and monitor outcomes.
• Develop processes and tools to monitor and analyze model performance and data accuracy.
Key skills:
● Strong knowledge in Data Science pipelines with Python
● Object-oriented programming
● A/B testing framework and model fine-tuning
● Proficiency in using sci-kit, NumPy, and pandas package in python
Nice to have:
● Ability to work with containerized solutions: Docker/Compose/Swarm/Kubernetes
● Unit testing, Test-driven development practice
● DevOps, Continuous integration/ continuous deployment experience
● Agile development environment experience, familiarity with SCRUM
● Deep learning knowledge










