Gen AI Developer

Job Description

Must Have Technical/Functional Skills

Experience in executing projects in Agile Framework

Proven experience in machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch).

Strong programming skills in Python and familiarity with libraries such as NumPy, Pandas, and Scikit-learn.

Experience with generative models (e.g., GANs, VAEs, Transformers) and natural language processing.

Proficiency in RAG (Retrieval-Augmented Generation) techniques.

Strong understanding of natural language processing (NLP). Experience with data preprocessing and model fine-tuning.

Familiarity with evaluation metrics for RAG systems.

Knowledge of transformer architectures and training techniques.

Awareness of ethical considerations and bias mitigation strategies.

Understanding of autonomous decision-making algorithms.

Proficiency in programming language Python.

Strong analytical and problem-solving skills.

Roles & Responsibilities

Qualifications:

Bachelor's or master's degree in computer science, data science or equivalent

Develop and implement generative AI models using frameworks like TensorFlow and PyTorch.

Build and optimize RAG (Retrieval-Augmented Generation) pipelines.

Work on NLP tasks such as text classification, summarization, and conversational AI.

Perform data preprocessing, cleaning, and feature engineering using Python libraries (NumPy, Pandas).

Fine-tune and optimize transformer-based models and LLMs for specific use cases.

Evaluate model performance using RAG and NLP evaluation metrics.

Develop and integrate machine learning models into applications.

Apply autonomous decision-making logic in AI-driven workflows where needed.

Generic Managerial Skills, If any

Good to have Manufacturing domain understanding

Excellent communication

Team collaboration

Documentation and knowledge sharing