Generative AI Jobs Type

Generative AI

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Generative AI (GenAI) is reshaping how we create content, powered by Large Language Models (LLM) like GPT (e.g., GPT-4, GPT-3.5) that are built on transformer architecture. While tools like diffusion models drive realistic image creation, autoencoders and Variational Autoencoders (VAE) help compress and reconstruct complex data.

From GANs (Generative Adversarial Networks) used in deepfakes to RLHF (Reinforcement Learning with Human Feedback) improving AI responses, GenAI is evolving fast. Techniques like LoRA (Low-Rank Adaptation) make fine-tuning efficient, and Prompt Engineering has become a new art in working with AI.

Natural Language Processing (NLP) remains the backbone, enhanced by methods like transfer learning, zero-shot / few-shot learning, and semantic search. Behind the scenes, embeddings, vector databases, tokenization, and attention mechanisms make it all click.

AI model,job, Platforms like OpenAI, Anthropic Claude, Google Gemini, and Meta LLaMA are leading the way, while Cohere, AWS Bedrock, and Azure OpenAI offer scalable solutions. For developers and researchers, tools like Weights & Biases, MLflow, and Streamlit / Gradio simplify tracking, training, and deploying GenAI models.

1. AI/ML Engineer

  • Role: Build & optimize ML models

  • Skills: Python, deep learning, data structures

  • Tools: TensorFlow, PyTorch, Scikit-learn


2. Prompt Engineer

  • Role: Design prompts for LLMs

  • Skills: NLP, creative thinking, LLM tuning

  • Tools: OpenAI APIs, LangChain, Hugging Face


3. Data Scientist (GenAI Focus)

  • Role: Analyze data, build AI models

  • Skills: Statistics, ML, GenAI concepts

  • Tools: Jupyter, Pandas, GPT models


4. Research Scientist (AI)

  • Role: Develop new GenAI models

  • Skills: Research, math, deep learning

  • Tools: PyTorch, Hugging Face, JAX


5. AI Product Manager

  • Role: Lead AI product dev

  • Skills: Product strategy, AI basics, team coordination

  • Tools: Jira, Figma, Notion, APIs


6. Generative AI Consultant

  • Role: Advise businesses on GenAI adoption

  • Skills: AI use-cases, domain knowledge, communication

  • Tools: ChatGPT, Bard, MS Copilot


7. AI Content Creator

  • Role: Use GenAI to create content

  • Skills: Writing, creativity, prompt crafting

  • Tools: ChatGPT, Jasper, Canva AI


8. AI Developer (Applications)

  • Role: Build GenAI-powered apps

  • Skills: Full-stack dev, API integration

  • Tools: LangChain, Node.js, React, OpenAI


9. Ethics & AI Policy Analyst

  • Role: Ensure ethical AI use

  • Skills: Law, AI ethics, research

  • Tools: Legal databases, AI audit tools


10. LLM Fine-tuning Engineer

  • Role: Customize large language models

  • Skills: NLP, data prep, deep learning

  • Tools: Hugging Face, LoRA, RLHF

Top Recruiters in India

Enterprise & IT Services Leaders
  • Tata Consultancy Services (TCS)Offers AI solutions through platforms like TCS BaNCS and IgnioTM.

  • InfosysProvides AI services via its Nia platform, integrating automation and advanced analytics.

  • WiproUtilizes its HOLMES platform to address enterprise challenges through AI and automation.

  • HCL TechnologiesSupports AI initiatives through its DRYiCE platform, focusing on automation and cognitive computing.

  • CognizantEnhances customer experiences and operational efficiency with its Cognizant AI platform.

  • BirlasoftLaunched Cogito, a Generative AI platform aimed at automating processes and improving business performance.

AI Startups & Innovators
  • Fractal AnalyticsIndia’s first AI unicorn, specializing in AI solutions across various sectors.

  • UniphoreA conversational automation technology company offering software for conversational analytics and assistants.

  • HaptikAn enterprise conversational AI platform, acquired by Jio Platforms in 2019.

  • Appinventiv TechnologiesAn IT consulting services company recognized for significant revenue growth and AI expertise.

Global AI Collaborations in India
  • NvidiaPartnered with Reliance Industries to create a large language AI model and build supercomputing infrastructure in India.

  • Databricks