AI/ML Engineer

TeamEpic is committed to shaping the future of technology by nurturing and developing the next generation of 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 Generative AI technologies. 

Role overview  

We are seeking highly motivated graduate engineer trainees who are passionate about the Generative AI space. You will undergo a rigorous 4-month salary-led training program , gaining hands-on experience in the latest technologies and methodologies. Post-training, you will have the chance to work in multiple 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 AI. For more details check out this link:

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

Compensation: Starting Salary 30,000 INR per month

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:

• Certify in Data Science & Advanced Python
• Develop data literacy & prompt generation

2) Project Management Mastery:

• Understand AI project stages & ethics
• Learn documentation & reporting best practices
• Foster mindfulness for project execution

3) Data Transformation Proficiency:

• Master data transformation fundamentals
• Analyze & report structured data
• Align goals for project success

4) AI Application Development:

• Explore AI-driven Image Recognition with OCR
• Implement OCR algorithms & optimize accuracy
• Develop automated data preprocessing skills

5) Advanced AI Techniques:

• Build real-time data-synced data science platform
• Develop AI apps for speech-text-actions
• Engineer advanced Gen-AI prompts
• Address NLG requirements & optimize systems iteratively

6) Python, AWS, Git, GitHub challenges

7) Master Generative AI: Develop GenAI apps & handle post-deployment challenges.

8) PowerBI, Tableau proficiency

9) Interviewing techniques, business acumen, mindfulness, stakeholder management

The Deployment Phase:

You will embark on an exciting journey of professional growth during this phase & this will be 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:

• 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 an AI Engineer where you will continue to advance your career, taking on more complex challenges and leadership roles within our dynamic team. 

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 Artificial Intelligence. 

Requirements

1) Education and Experience:

• Bachelor's or Master's degree in Data science/AI or related field.
• Minimum of 06 - 1 year of relevant AI/ML experience
• Should have worked on NLP based projects & Gen-AI projects for at least 6 months.

2) Technical Skills:

• Solid foundation in programming languages such as Python, SQL, R, and Java.
• Proficiency in data analysis libraries including Pandas, NumPy, and Matplotlib.
• Basic understanding of Machine Learning platforms like TensorFlow and PyTorch, as well as AI concepts and data analytics.
• Familiarity with data visualization tools like Matplotlib, PowerBI, and Tableau.
• Proficient in cloud tech and Web framework skills.

3) Additional Qualifications:

• Excellent problem-solving and analytical skills.
• Flexibility, adaptability, and strong teamwork/collaborative abilities.
• Dedication to continuous personal and professional development.
• Self-motivated individuals with pride in their work.
• Effective communication and stakeholder management skills, with the ability to challenge the status quo and give/receive constructive feedback.
• Demonstrated excellent communication skills, both verbal and written.

Benefits

1. Comprehensive training in Data Science and AI by industry experts 
2. Exposure to global work culture and international projects 
3. Career advancement opportunities in innovative technology domains 
4. Competitive salary and benefits package