Graduate Data Science AI Engineer
Packt, India

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 46-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

• Participate in an intensive training program covering Data Science, AI, MLOps (Machine Learning Operations), NLP (Natural Language Processing), and related technologies
• Collaborate on real-world projects and case studies to apply theoretical knowledge.
• Engage in continuous learning to stay abreast of industry trends and advancements
• Post-training, integrate into global teams to solve complex data problems and develop AI-driven solutions

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:

• Attain certifications in Data Science and Advanced Python proficiency
• Develop strong data literacy and effective prompt generation

2) Project Management Mastery:

• Understand AI project stages, ethics, and communication strategies
• Learn documentation and reporting best practices
• Develop mindfulness for effective project execution

3) Data Transformation Proficiency:

• Gain fundamentals of data transformation
• Master structured data analysis and reporting
• Acquire goal alignment strategies for project success

4) AI Application Development:

• Explore AI-driven Image Recognition with OCR (Optical Character Recognition)
• Implement OCR algorithms, validate accuracy, and optimize core engines
• Develop automated data collection, preprocessing, and segregation skills

5) Advanced AI Techniques:

• Build a data science platform with real-time data synchronization.
• Develop AI applications for speech-text-actions and auto communication.
• Dive into advanced Gen-AI (Generative AI) prompt engineering, covering linguistic nuances and async IO
• Address NLG requirements, develop validation frameworks, and iteratively optimize NLG systems

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 amp; 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:

• Option to directly join a global client team: You may choose to move directly onto client payrolls, integrating into their teams and continuing to build your career in new environments.
• Continued growth with TeamEpic: Alternatively, you can opt to be absorbed within TeamEpic as a Data Science amp; AI Engineer where you will continue to advance your career, taking on more complex challenges and leadership roles wi

Job Rewards and Benefits