TeamEpic is committed to shaping the future of technology by nurturing and developing the next generation of Data Science and AI talent right here in India. Our vision is to create a powerful and globally competitive workforce. We specialize in hiring, training, and deploying fresh graduates into global projects and teams, focusing on innovative Data Science and Generative AI technologies.
Role overview
We are seeking highly motivated graduate engineer trainees who are passionate about Data Science and AI. You will undergo a rigorous 4–6-month salary-led training program, gaining hands-on experience in the latest technologies and methodologies. Post-training, you will have the opportunity to work in multiple and diverse international teams, contributing to significant global projects. We offer a one-of-a-kind opportunity to not only build your portfolio, but also cultivate your soft skills while gaining invaluable real-world experience through our training academy. Our goal is to equip you with the skills necessary to meet the demands of global remote companies in the fields of Data Science and AI. For detailed information, visit https://www.teamepic.in/graduates
Responsibilities
The Training Phase
This phase is designed to sharpen your skills, enhance your expertise, and empower you with the knowledge you need to excel in global work-ready environments. Immerse yourself in real-world projects to learn:
1) Foundational Skills:
2) Project Management Mastery:
3) Data Transformation Proficiency:
4) AI Application Development:
5) Advanced AI Techniques:
6) Python, AWS, Git, and GitHub challenges
7) Master Generative AI for language, voice image models, develop GenAI (Generative AI) apps, and handle post-deployment challenges
8) PowerBI, Tableau
9) Interviewing techniques, business acumen, mindfulness practices, stakeholder management
The Deployment Phase:
You will embark on an exciting journey of professional growth during the deployment phase. This phase is a critical part of your career progression, where you will:
1) Work with multiple clients: Engage in trial projects with various clients, gaining exposure to diverse business needs and technological challenges in the field of Data Science and AI.
2) Trial to full-term transition: Demonstrate your skills and expertise by successfully completing trial client projects, leading to full-term project engagements with our clients. This is when you will be promoted to an Associate Data Science & AI Engineer
3) Twelve-Month client engagement: Upon completing 12 months of client deployment, you will reach a pivotal point in your career. At this juncture, based on client discretion and your performance, you will have two promising paths ahead:
4) This deployment phase is designed not only to enhance your professional skills but also to open multiple avenues for your career advancement in the global landscape of Data Science and AI
Requirements
Benefits
About PacktPackt is a leading publisher of technical learning content that publishes books on new and emerging technologies faster than any other publisher in the world. We believe that software has a deep impact on the world, and that software runs on knowledge. Our mission is to increase the shared value of extensive technical knowledge. We are technical-content engineers, and we work with some of the most interesting technical minds and ground-breaking creators on the planet.For more details, see www.packt.comWhy work at Packt We recognize how important our people are to the success of our business and acknowledge and support the things that are important to them. We focus on the full employee experience. We aim to create a positive working environment that supports personal and collective development – where our people can not only grow their skill sets, continuously challenge themselves, and develop their careers, but also work together as a team and with our customers. We try to achieve this by: Ensuring a positive working environment for all employees, supportive of flexible and remote work. Supporting individual development through growth opportunities and internal mobility. Encouraging social collaboration within teams and communities and knowledge-sharing. Fostering a culture that supports a healthy work-life balance. We seek to achieve this by: Providing a broad range of benefits and initiatives. Advocating a healthy lifestyle where wellbeing is seen as an essential responsibility. Celebrating success stories and encouraging peer-to-peer recognition. Fostering a culture of self-development. Providing a work environment where the best idea wins, and challenge is encouraged.
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