NOT JUST ANOTHER JOB

Experience a working culture that promotes work-life balance, employee growth, well-being, and happiness !

WHO ARE WE ?

Aidas is a data and analytics company committed to solving complex business problems using advanced AI and Machine Learning technologies. Our expertise and experience help businesses stay ahead of the curve by leveraging the latest technologies to achieve their goals. We always seek talented individuals who share our passion for technology and innovation to join our team.

OUR WORK CULTURE

At AIDAS, we prioritize enriching the lives of our employees as we recognize its significance in their productivity and overall happiness. That is why we focus on developing rewarding careers rather than simply providing jobs. Through our coaching and mentoring programs, we assist our employees in achieving their fullest potential. Join our team and become a part of a culture that encourages personal and professional development. Together, we'll create a fulfilling and rewarding career that enriches your life in more ways than one!

COMMITMENT TO ADD VALUE IS WHAT WE SEEK

We aim to build a team of passionate individuals committed to delivering excellence in everything they do.  We seek out individuals driven to excel in their respective fields and constantly seek to improve themselves, learn new things, and positively impact their work.   If this sounds like you, we invite you to join our team!!!

HERE IS A SNEAK PEEK INTO
WHAT YOU CAN EXPECT AT AIDAS

FUN AND PRODUCTIVE ENVIRONMENT

A cheerful team is a productive team. Therefore, we often provide social gatherings, team-building exercises, and employee appreciation days to keep our team members interested, motivated, and connected.

EMPHASIS ON DEVELOPMENT & GROWTH

We’re dedicated to fostering development and growth among our team members. We provide personal and professional growth opportunities through continual training, mentoring, and exposure to emerging technologies and market trends.

WORK-LIFE BALANCE

We recognize that work-life balance is vital to the well-being of our team members. Therefore, we encourage our team members to prioritize their mental and physical wellness by providing stress management sessions, flexible work schedules, and work-from-home options.

WORKPLACE DIVERSITY

We encourage diversity, inclusion and are committed to fostering an inclusive, respectful, and supportive workplace for all team members.

COLLABORATION & TEAMWORK

At Aidas, collaboration and teamwork are the keys to success. Our team members are encouraged to collaborate, share ideas and best practices across departments.

CAREER ADVANCEMENT

We are dedicated to enhancing career growth through upskilling and professional development. Through our upskilling programs, we empower our team members to thrive in their careers, enabling them to reach new heights of success and achieve their full potential.

PERKS YOU WILL ENJOY AT AIDAS

  • MENSTRUAL LEAVE

  • SABBATICAL LEAVE

  • FLEXIBLE SHIFT

  • TRANSPORT FACILITY

  • OFFSITE AND MONTHLY FUN EVENTS

  • GROUP HEALTH INSURANCE

  • ANNUAL HEALTH CHECKUP 

  • STRESS MANAGEMENT PROGRAMS

  • SKILL TRAINING

  • DYNAMIC LEARNING ENVIRONMENT 

YOU DON'T HAVE TO WAIT FOR DAYS TO HEAR BACK FROM US

OUR HIRING PROCESS IS QUICK & SIMPLE, WRITE TO US WITH YOUR PROFILE

SUBMIT YOUR RESUME

OUR MEMORY LANE

I am thrilled to be a part of the Aidas team. The work environment here is incredibly collaborative, which I love the most. Teamwork and collaboration are highly valued. It is a place where everyone is encouraged to contribute their ideas and insights, creating an environment that nurtures both personal and professional growth.

Gowtham Sakthivel Data Engineer

Aidas provides numerous opportunities for career advancement, ensuring that everyone has the chance to shine, and the company truly values the concept of a healthy work-life balance. The team is interactive and collaborative, making it a joy to come to work every day. Encourages freedom for experimentation and trying out different approaches, leading to continuous improvement. Aidas is not just a workplace, it’s a platform for growth, innovation, and fulfillment.

Varun Vinod Data Scientist

I feel fortunate to be a part of Aidas , where personal and professional growth is not just encouraged but actively facilitated. If you are looking for a workplace that values its employees and invests in their development, Aidas is the ideal choice.

Anu Rekha Kadir Lead Generation Specialist

I really like working here because the atmosphere is friendly, and my colleagues are always willing to help. What stands out to me is the way the company encourages innovation and supports my professional development. The company values diversity and inclusion and has programs for recognizing employees and promoting their health and wellness. The communication is transparent, making it an all-around great place to work where they care about both our work and well-being.

Divya Srinuvasan Jr. Data Engineer

I like the collaborative culture of Aidas. The support of my mentors and coworkers and the emphasis on professional development have been major highlights of my time here. I'm grateful for the company's opportunities for personal and professional development. I appreciate the leadership team's advice. Regular feedback meetings between employees and management improve understanding and alignment of individual aspirations with the company's aims.

Ayesha Begam Human Resource Executive

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    AIDAS is a specialized firm in analytics technology & services, helping clients to solve complex business problems using Artificial Intelligence and Machine Learning. We bring expertise in Data Engineering, Analytics Technology, and Consulting to deliver holistic AI-driven insights and solutions to solve problems. Ready to deploy accelerators, a flexible service model, and in-depth experience in putting AI algorithms and Machine learning to practical use makes us a trusted partner to provide value across the enterprise.

    • Analytics Consulting
    • Business Insights
    • Artificial Intelligence
    • Analytics Technology
    • Data Engineering

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