Generative AI is becoming very popular in India. It is used to create personalized experiences in e-commerce and retail, make custom lesson plans for schools, create material for media and marketing, and improve supply chain and logistics. The most important changes that have made it possible for scalable business multi-agent systems to be built are from AI Agent to Agentic AI and from Prompt engineering to Context engineering.
Companies like Codelynks Software Solutions, DifferentByte Technologies, Viraaj HR Solutions Pvt Ltd, EY GDS Consulting have posted openings for Generative AI roles in and around Cochin. Larger players like Microsoft also recruit via neurodiversity programs.
Beginner AI roles offer a salary range of 6 – 12 LPA, mid-level professionals get around 20 LPA, whereas experts get over 36 LPA.
Our training covers Python, ML algorithms, Transformers, RAG, Fine-tuning, Agent, MLOps, directly matching job needs like agent development, deployment, and ethical AI.
“100% placement support and training are provided after course completion until you land in your dream job.”
Our comprehensive Gen AI training helps you grab the most sought-after job titles listed below:
Gen AI Engineer
Responsible for building, fine-tuning, and deploying generative models such as large language models (LLMs), GANs, and VAEs. Prepare and process data for model training, optimize AI systems for performance, and integrate AI solutions into applications and cloud environments.
AI Fine-Tuning Specialist
Adapt and optimize pre-trained AI models to perform better on specific tasks or domains by customizing datasets, adjusting parameters, and refining performance using techniques such as transfer learning with models like BERT and GPT-3.
AI Product Manager
Leads the strategy, development, and lifecycle of AI-powered products by aligning business goals, user needs, and technical capabilities to deliver scalable solutions using technologies such as OpenAI API.
AI Quality Assurance Tester
Evaluate and validate AI systems to ensure accuracy, reliability, safety, and performance by testing models, detecting biases, and verifying outputs across different scenarios and edge cases.
Senior Associate – Gen AI
Design and develop scalable AI solutions using generative and agentic AI technologies. Tasks include building Python-based applications, integrating generative capabilities into enterprise workflows, managing data analysis tasks, and deploying AI features on cloud platforms. Collaborate with cross-functional teams and ensure solutions meet performance and security standards.
Generative AI Developer (Fresher / Junior)
Create and implement AI models, working especially with pattern recognition, NLP, and neural networks. Responsibilities include coding, testing, and fine-tuning models to satisfy project requirements, as well as collaborating with other developers to integrate these models into products. Ideal for candidates with foundational AI/ML knowledge and eagerness to learn.
AI Engineer
Blend generative AI with general machine learning responsibilities. Build prototypes and POCs, fine-tuning open-source models, experimenting with multi-modal models (text, image, audio), and preparing systems for production.
