Gen AI Engineer

C5i; Bengaluru; Vor Ort; INR 1.200.000 - 2.100.000; Vollzeit

Zusammenfassung

C5i in Bengaluru, India seeks a seasoned ML/AI researcher with 4+ years in machine learning, deep learning, or AI research, focusing on Generative/Agentic AI models. You will work on Generative models (GANs, VAEs, transformers like GPT-3/4, BERT, DALL·E) and contribute to fine-tuning, transfer learning, and prompt engineering for large language models.

Strong Python coding, data processing, and building data apps with Streamlit or similar tools are essential.

Qualifikationen

• 4+ years of experience in machine learning, deep learning, or AI research with a focus on Generative/Agentic AI models.
• Experience with generative models such as GANs, VAEs, and transformer-based models (e.g., GPT-3/4, BERT, DALL·E).
• Understanding of model fine-tuning, transfer learning, and prompt engineering for large language models (LLMs).
• Knowledge of reinforcement learning and other advanced ML techniques for generative tasks.
• Strong Python programming skills and familiarity with ML libraries.

Kenntnisse

Generative AI

GANs/VAEs

LLMs & Transformer Models

Python

Prompt Engineering

Transfer Learning

Reinforcement Learning

Communication

Tools

PyTorch

TensorFlow

Streamlit

OpenAI API

Jobbeschreibung

• 4+years of experience in machine learning, deep learning, or Al research, With a focus on Generative/Agentic AI models.
• Experience With generative models such as GANS (Generative Adversarial Networks), VAEs (Variational Autoencoders), and transformer-based models (e.g., GPT-3/4, BERT, DALL.E).
• Understanding of model fine-tuning, transfer learning, and prompt engineering in the context Of large language models (LLMS).
• Knowledge of reinforcement learning (RL) and other advanced machine learning techniques applied to generative tasks.
• Strong programming skills in python and familiarity with relevant libraries and frameworks.
• proven experience in document detail extraction and feature engineering.
• Proficiency in data processing and manipulation techniques.
• Hands-on experience in building data applications using Streamlit or similar tools.
• Advanced knowledge in prompt engineering, chain of thought processes, and Al agents.
• Excellent problem-solving skills and the ability to work effectively in a collaborative environment.
• Strong communication skills to convey complex technical concepts to non-technical stakeholders.

Good to Have:

• Experience in the [banking/financial services/CPG/Supply chain
• Familiarity with cloud-based machine learning platforms such as Azure, AWS, or GCP.
• Proven experience working with OpenAl or similar large language models (LLMs).
• Certifications in Data Science, Machine Learning, or Al.