Indian Engineering Jobs on Generative AI

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Generative AI is revolutionizing multiple industries, and Indian engineering professionals have a growing number of opportunities in this space. Here are some of the most in-demand Generative AI-related roles in India:

1. AI/ML Engineer

• Key Skills: Python, TensorFlow, PyTorch, Hugging Face, generative modeling (GANs, VAEs, Diffusion Models).
• Responsibilities: Develop and deploy generative AI models for text, images, audio, or video generation.
• Industries: IT services, startups, fintech, media, and e-commerce.

2. Data Scientist (Generative AI Focus)

• Key Skills: Data wrangling, natural language processing (NLP), large language models (LLMs), and deep learning.
• Responsibilities: Work on fine-tuning LLMs, generating synthetic data for training, or creating insights using generative AI.
• Industries: Healthcare, retail, manufacturing, and BFSI (banking, financial services, and insurance).

3. Generative AI Researcher

• Key Skills: Research-oriented mindset, papers published in AI journals, advanced generative techniques.
• Responsibilities: Develop state-of-the-art generative AI algorithms for specific problems like text summarization, image synthesis, or drug discovery.
• Industries: Academia, R&D centers, and cutting-edge AI startups.

4. Prompt Engineer

• Key Skills: Expertise in prompting, prompt optimization for models like GPT, ChatGPT, or Stable Diffusion.
• Responsibilities: Design prompts to maximize the performance of generative AI models for specific applications.
• Industries: Marketing tech, customer service automation, education, and content creation.

5. AI Product Manager

• Key Skills: Product lifecycle management, understanding of AI/ML workflows, stakeholder collaboration.
• Responsibilities: Define the roadmap for generative AI products, oversee development, and manage user experience.
• Industries: SaaS, IT services, media, and content creation.

6. Generative AI Developer

• Key Skills: Python, generative modeling libraries, API integration (e.g., OpenAI, Anthropic), and cloud platforms (AWS, GCP).
• Responsibilities: Build applications powered by generative AI, such as chatbots, image generators, or recommendation engines.
• Industries: Startups, IT services, and creative design.

7. NLP Engineer

• Key Skills: NLP libraries (spaCy, NLTK, transformers), LLMs like GPT and BERT.
• Responsibilities: Work on tasks like text generation, summarization, and machine translation using generative AI.
• Industries: E-learning, HR tech, and document automation.

8. Synthetic Data Engineer

• Key Skills: Data generation frameworks, GANs, 3D modeling, and simulation.
• Responsibilities: Create synthetic datasets to train machine learning models for scenarios where real data is limited.
• Industries: Autonomous vehicles, robotics, and AR/VR.

9. AI Ethics Specialist

• Key Skills: Understanding of ethical frameworks, bias mitigation in AI, and compliance standards (GDPR, AI Act).
• Responsibilities: Ensure the responsible use of generative AI by identifying biases, risks, and ethical concerns.
• Industries: Consulting firms, legal tech, and large enterprises.

10. Creative AI Specialist

• Key Skills: AI-driven content creation tools, Stable Diffusion, DALL-E, MidJourney.
• Responsibilities: Leverage generative AI for creating content in advertising, game design, or filmmaking.
• Industries: Gaming, media, and entertainment.